Entries Tagged "Schneier news"
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Article on Me
Article on me from a Luxembourg magazine.
Skein News
Skein is one of the 14 SHA-3 candidates chosen by NIST to advance to the second round. As part of the process, NIST allowed the algorithm designers to implement small “tweaks” to their algorithms. We’ve tweaked the rotation constants of Skein. This change does not affect Skein’s performance in any way.
The revised Skein paper contains the new rotation constants, as well as information about how we chose them and why we changed them, the results of some new cryptanalysis, plus new IVs and test vectors. Revised source code is here.
The latest information on Skein is always here.
Tweaks were due today, September 15. Now the SHA-3 process moves into the second round. According to NIST’s timeline, they’ll choose a set of final round candidate algorithms in 2010, and then a single hash algorithm in 2012. Between now and then, it’s up to all of us to evaluate the algorithms and let NIST know what we want. Cryptanalysis is important, of course, but so is performance.
Here’s my 2008 essay on SHA-3. The second-round algorithms are: BLAKE, Blue Midnight Wish, CubeHash, ECHO, Fugue, Grøstl, Hamsi, JH, Keccak, Luffa, Shabal, SHAvite-3, SIMD, and Skein. You can find details on all of them, as well as the current state of their cryptanalysis, here.
In other news, we’re making Skein shirts available to the public. Those of you who attended the First Hash Function Candidate Conference in Leuven, Belgium, earlier this year might have noticed the stylish black Skein polo shirts worn by the Skein team. Anyone who wants one is welcome to buy it, at cost. Details (with photos) are here. All orders must be received before 1 October, and then we’ll have all the shirts made in one batch.
Schneier on "The Future of the Security Industry"
Here’s a video of a talk I gave at an OWASP meeting in August.
Fraud on eBay
I expected selling my computer on eBay to be easy.
Attempt 1: I listed it. Within hours, someone bought it—from a hacked account, as eBay notified me, cancelling the sale.
Attempt 2: I listed it again. Within hours, someone bought it, and asked me to send it to her via FedEx overnight. The buyer sent payment via PayPal immediately, and then—near as I could tell—immediately opened a dispute with PayPal so that the funds were put on hold. And then she sent me an e-mail saying “I paid you, now send me the computer.” But PayPal was faster than she expected, I think. At the same time, I received an e-mail from PayPal saying that I might have received a payment that the account holder did not authorize, and that I shouldn’t ship the item until the investigation is complete.
I’m willing to make Attempt 3, if just to see what kind of scam happens this time. But I still want to sell the computer, and I am pissed off at what is essentially a denial-of-service attack. The facts from this listing are accurate; does anyone want it? List price is over $3K. Send me e-mail.
EDITED TO ADD (6/19): It’s not just me.
EDITED TO ADD (6/24): The computer is sold, to someone who reads my blog.
EDITED TO ADD (6/25): I’m not entirely sure, but it looks like the payment from the second eBay buyer has gone through PayPal. I don’t trust it—just because I can’t figure out the scam doesn’t mean there isn’t one. And, anyway, the computer is sold.
EDITED TO ADD (7/3): For the record: despite articles to the contrary, I was not scammed on eBay. I was the victim of two scam attempts, both of which I detected and did not fall for.
Second SHB Workshop Liveblogging (9)
The eighth, and final, session of the SHB09 was optimistically titled “How Do We Fix the World?” I moderated, which meant that my liveblogging was more spotty, especially in the discussion section.
David Mandel, Defense Research and Development Canada (suggested reading: Applied Behavioral Science in Support of Intelligence Analysis, Radicalization: What does it mean?; The Role of Instigators in Radicalization to Violent Extremism), is part of the Thinking, Risk, and Intelligence Group at DRDC Toronto. His first observation: “Be wary of purported world-fixers.” His second observation: when you claim that something is broken, it is important to specify the respects in which it’s broken and what fixed looks like. His third observation: it is also important to analyze the consequences of any potential fix. An analysis of the way things are is perceptually based, but an analysis of the way things should be is value-based. He also presented data showing that predictions made by intelligence analysts (at least in one Canadian organization) were pretty good.
Ross Anderson, Cambridge University (suggested reading: Database State; book chapters on psychology and terror), asked “Where’s the equilibrium?” Both privacy and security are moving targets, but he expects that someday soon there will be a societal equilibrium. Incentives to price discriminate go up, and the cost to do so goes down. He gave several examples of database systems that reached very different equilibrium points, depending on corporate lobbying, political realities, public outrage, etc. He believes that privacy will be regulated, the only question being when and how. “Where will the privacy boundary end up, and why? How can we nudge it one way or another?”
Alma Whitten, Google (suggested reading: Why Johnny can’t encrypt: A usability evaluation of PGP 5.0), presented a set of ideals about privacy (very European like) and some of the engineering challenges they present. “Engineering challenge #1: How to support access and control to personal data that isn’t authenticated? Engineering challenge #2: How to inform users about both authenticated and unauthenticated data? Engineering challenge #3: How to balance giving users control over data collection versus detecting and stopping abuse? Engineering challenge #4: How to give users fine-grained control over their data without overwhelming them with options? Engineering challenge #5: How to link sequential actions while preventing them from being linkable to a person? Engineering challenge #6: How to make the benefits of aggregate data analysis apparent to users? Engineering challenge #7: How to avoid or detect inadvertent recording of data that can be linked to an individual?” (Note that Alma requested not to be recorded.)
John Mueller, Ohio State University (suggested reading: Reacting to Terrorism: Probabilities, Consequences, and the Persistence of Fear; Evaluating Measures to Protect the Homeland from Terrorism; Terrorphobia: Our False Sense of Insecurity), talked about terrorism and the Department of Homeland Security. Terrorism isn’t a threat; it’s a problem and a concern, certainly, but the word “threat” is still extreme. Al Qaeda isn’t a threat, and they’re the most serious potential attacker against the U.S. and Western Europe. And terrorists are overwhelmingly stupid. Meanwhile, the terrorism issue “has become a self-licking ice cream cone.” In other words, it’s now an ever-perpetuating government bureaucracy. There are virtually an infinite number of targets; the odds of any one target being targeted is effectively zero; terrorists pick targets largely at random; if you protect target, it makes other targets less safe; most targets are vulnerable in the physical sense, but invulnerable in the sense that they can be rebuilt relatively cheaply (even something like the Pentagon); some targets simply can’t be protected; if you’re going to protect some targets, you need to determine if they should really be protected. (I recommend his book, Overblown.)
Adam Shostack, Microsoft (his blog), pointed out that even the problem of figuring out what part of the problem to work on first is difficult. One of the issues is shame. We don’t want to talk about what’s wrong, so we can’t use that information to determine where we want to go. We make excuses—customers will flee, people will sue, stock prices will go down—even though we know that those excuses have been demonstrated to be false.
During the discussion, there was a lot of talk about the choice between informing users and bombarding them with information they can’t understand. And lots more that I couldn’t transcribe.
And that’s it. SHB09 was a fantastic workshop, filled with interesting people and interesting discussion. Next year in the other Cambridge.
Adam Shostack’s liveblogging is here. Ross Anderson’s liveblogging is in his blog post’s comments. Matt Blaze’s audio is here.
Second SHB Workshop Liveblogging (8)
The penultimate session of the conference was “Privacy,” moderated by Tyler Moore.
Alessandro Acquisti, Carnegie Mellon University (suggested reading: What Can Behavioral Economics Teach Us About Privacy?; Privacy in Electronic Commerce and the Economics of Immediate Gratification), presented research on how people value their privacy. He started by listing a variety of cognitive biases that affect privacy decisions: illusion of control, overconfidence, optimism bias, endowment effect, and so on. He discussed two experiments. The first demonstrated a “herding effect”: if a subject believes that others reveal sensitive behavior, the subject is more likely to also reveal sensitive behavior. The second examined the “frog effect”: do privacy intrusions alert or desensitize people to revealing personal information? What he found is that people tend to set their privacy level at the beginning of a survey, and don’t respond well to being asked easy questions at first and then sensitive questions at the end. In the discussion, Joe Bonneau asked him about the notion that people’s privacy protections tend to ratchet up over time; he didn’t have conclusive evidence, but gave several possible explanations for the phenomenon.
Adam Joinson, University of Bath (suggested reading: Privacy, Trust and Self-Disclosure Online; Privacy concerns and privacy actions), also studies how people value their privacy. He talked about expressive privacy—privacy that allows people to express themselves and form interpersonal relationships. His research showed that differences between how people use Facebook in different countries depend on how much people trust Facebook as a company, rather than how much people trust other Facebook users. Another study looked at posts from Secret Tweet and Twitter. He found 16 markers that allowed him to automatically determine which tweets contain sensitive personal information and which do not, with high probability. Then he tried to determine if people with large Twitter followings post fewer secrets than people who are only twittering to a few people. He found absolutely no difference.
Peter Neumann, SRI (suggested reading: Holistic systems; Risks; Identity and Trust in Context), talked about lack of medical privacy (too many people have access to your data), about voting (the privacy problem makes the voting problem a lot harder, and the end-to-end voting security/privacy problem is much harder than just securing voting machines), and privacy in China (the government is requiring all computers sold in China to be sold with software allowing them to eavesdrop on the users). Any would-be solution needs to reflect the ubiquity of the threat. When we design systems, we need to anticipate what the privacy problems will be. Privacy problems are everywhere you look, and ordinary people have no idea of the depth of the problem.
Eric Johnson, Dartmouth College (suggested reading: Access Flexibility with Escalation and Audit; Security through Information Risk Management), studies the information access problem from a business perspective. He’s been doing field studies in companies like retail banks and investment banks, and found that role-based access control fails because companies can’t determine who has what role. Even worse, roles change quickly, especially in large complex organizations. For example, one business group of 3000 people experiences 1000 role changes within three months. The result is that organizations do access control badly, either over-entitling or under-entitling people. But since getting the job done is the most important thing, organizations tend to over-entitle: give people more access than they need. His current work is to find the right set of incentives and controls to set access more properly. The challege is to do this without making people risk averse. In the discussion, he agreed that a perfect access control system is not possible, and that organizations should probably allow a certain amount of access control violations—similar to the idea of posting a 55 mph speed limit but not ticketing people unless they go over 70 mph.
Christine Jolls, Yale Law School (suggested reading: Rationality and Consent in Privacy Law, Employee Privacy), made the point that people regularly share their most private information with their intimates—so privacy is not about secrecy, it’s more about control. There are moments when people make pretty big privacy decisions. For example, they grant employers the rights to monitor their e-mail, or test their urine without notice. In general, courts hold that blanket signing away of privacy rights—”you can test my urine on any day in the future”—are not valid, but immediate signing away of privacy of privacy rights—”you can test my urine today”—are. Jolls believes that this is reasonable for several reasons, such as optimism bias and an overfocus on the present at the expense of the future. Without realizing it, the courts have implemented the system that behavioral economics would find optimal. During the discussion, she talked about how coercion figures into this; the U.S. legal system tends not to be concerned with it.
Andrew Adams, University of Reading (suggested reading: Regulating CCTV), also looks at attitudes of privacy on social networking services. His results are preliminary, and based on interviews with university students in Canada, Japan, and the UK, and are very concordant with what danah boyd and Joe Bonneau said earlier. From the UK: People join social networking sites to increase their level of interaction with people they already know in real life. Revealing personal information is okay, but revealing too much is bad. Even more interestingly, it’s not okay to reveal more about others than they reveal themselves. From Japan: People are more open to making friends online. There’s more anonymity. It’s not okay to reveal information about others, but “the fault of this lies as much with the person whose data was revealed in not choosing friends wisely.” This victim responsibility is a common theme with other privacy and security elements in Japan. Data from Canada is still being compiled.
Great phrase: the “laundry belt”—close enough for students to go home on weekends with their laundry, but far enough away so they don’t feel as if their parents are looking over their shoulder—typically two hours by public transportation (in the UK).
Adam Shostack’s liveblogging is here. Ross Anderson’s liveblogging is in his blog post’s comments. Matt Blaze’s audio is here.
Second SHB Workshop Liveblogging (7)
Session Six—”Terror”—chaired by Stuart Schechter.
Bill Burns, Decision Research (suggested reading: The Diffusion of Fear: Modeling Community Response to a Terrorist Strike), studies social reaction to risk. He discussed his theoretical model of how people react to fear events, and data from the 9/11 attacks, the 7/7 bombings in the UK, and the 2008 financial collapse. Basically, we can’t remain fearful. No matter what happens, fear spikes immediately after and recovers 45 or so days afterwards. He believes that the greatest mistake we made after 9/11 was labeling the event as terrorism instead of an international crime.
Chris Cocking, London Metropolitan University (suggested reading: Effects of social identity on responses to emergency mass evacuation), looks at the group behavior of people responding to emergencies. Traditionally, most emergency planning is based on the panic model: people in crowds are prone to irrational behavior and panic. There’s also a social attachment model that predicts that social norms don’t break down in groups. He prefers a self-categorization approach: disasters create a common identity, which results in orderly and altruistic behavior among strangers. The greater the threat, the greater the common identity, and spontaneous resilience can occur. He displayed a photograph of “panic” in New York on 9/11 and showed how it wasn’t panic at all. Panic seems to be more a myth than a reality. This has policy implications during an event: provide people with information, and people are more likely to underreact than overreact, if there is overreaction, it’s because people are acting as individuals rather than groups, so those in authority should encourage a sense of collective identity. “Crowds can be part of the solution rather than part of the problem.”
Richard John, University of Southern California (suggested reading: Decision Analysis by Proxy for the Rational Terrorist), talked about the process of social amplification of risk (with respect to terrorism). Events result in relatively small losses; it’s the changes in behavior following an event that result in much greater losses. There’s a dynamic of risk perception, and it’s very contextual. He uses vignettes to study how risk perception changes over time, and discussed some of the studies he’s conducting and ideas for future studies.
Mark Stewart, University of Newcastle, Australia (suggested reading: A risk and cost-benefit assessment of United States aviation security measures; Risk and Cost-Benefit Assessment of Counter-Terrorism Protective Measures to Infrastructure), examines infrastructure security and whether the costs exceed the benefits. He talked about cost/benefit trade-off, and how to apply probabilistic terrorism risk assessment; then, he tried to apply this model to the U.S. Federal Air Marshal Service. His result: they’re not worth it. You can quibble with his data, but the real value is a transparent process. During the discussion, I said that it is important to realize that risks can’t be taken in isolation, that anyone making a security trade-off is balancing several risks: terrorism risks, political risks, the personal risks to his career, etc.
John Adams, University College London (suggested reading: Deus e Brasileiro?; Can Science Beat Terrorism?; Bicycle bombs: a further inquiry), applies his risk thermostat model to terrorism. He presented a series of amusing photographs of overreactions to risk, most of them not really about risk aversion but more about liability aversion. He talked about bureaucratic paranoia, as well as bureaucratic incitements to paranoia, and how this is beginning to backfire. People treat risks differently, depending on whether they are voluntary, impersonal, or imposed, and whether people have total control, diminished control, or no control.
Dan Gardner, Ottawa Citizen (suggested reading: The Science of Fear: Why We Fear the Things We Shouldn’t—and Put Ourselves in Greater Danger), talked about how the media covers risks, threats, attacks, etc. He talked about the various ways the media screws up, all of which were familiar to everyone. His thesis is not that the media gets things wrong in order to increase readership/viewership and therefore profits, but that the media gets things wrong because reporters are human. Bad news bias is not a result of the media hyping bad news, but the natural human tendency to remember the bad more than the good. The evening news is centered around stories because people—including reporters—respond to stories, and stories with novelty, emotion, and drama are better stories.
Some of the discussion was about the nature of panic: whether and where it exists, and what it looks like. Someone from the audience questioned whether panic was related to proximity to the event; someone else pointed out that people very close to the 7/7 bombings took pictures and made phone calls—and that there was no evidence of panic. Also, on 9/11 pretty much everyone below where the airplanes struck the World Trade Center got out safely; and everyone above couldn’t get out, and died. Angela Sasse pointed out that the previous terrorist attack against the World Trade Center, and the changes made in evacuation procedures afterwards, contributed to the lack of panic on 9/11. Bill Burns said that the purest form of panic is a drowning person. Jean Camp asked whether the recent attacks against women’s health providers should be classified as terrorism, or whether we are better off framing it as crime. There was also talk about sky marshals and their effectiveness. I said that it isn’t sky marshals that are a deterrent, but the idea of sky marshals. Terence Taylor said that increasing uncertainty on the part of the terrorists is, in itself, a security measure. There was also a discussion about how risk-averse terrorists are; they seem to want to believe they have an 80% or 90% change of success before they will launch an attack.
Next, lunch—and two final sessions this afternoon.
Adam Shostack’s liveblogging is here. Ross Anderson’s liveblogging is in his blog post’s comments. Matt Blaze’s audio is here.
Second SHB Workshop Liveblogging (6)
The first session of the morning was “Foundations,” which is kind of a catch-all for a variety of things that didn’t really fit anywhere else. Rachel Greenstadt moderated.
Terence Taylor, International Council for the Live Sciences (suggested video to watch: Darwinian Security; Natural Security), talked about the lessons evolution teaches about living with risk. Successful species didn’t survive by eliminating the risks of their environment, they survived by adaptation. Adaptation isn’t always what you think. For example, you could view the collapse of the Soviet Union as a failure to adapt, but you could also view it as successful adaptation. Risk is good. Risk is essential for the survival of a society, because risk-takers are the drivers of change. In the discussion phase, John Mueller pointed out a key difference between human and biological systems: humans tend to respond dramatically to anomalous events (the anthrax attacks), while biological systems respond to sustained change. And David Livingstone Smith asked about the difference between biological adaptation that affects the reproductive success of an organism’s genes, even at the expense of the organism, with security adaptation. (I recommend the book he edited: Natural Security: A Darwinian Approach to a Dangerous World.)
Andrew Odlyzko, University of Minnesota (suggested reading: Network Neutrality, Search Neutrality, and the Never-Ending Conflict between Efficiency and Fairness in Markets, Economics, Psychology, and Sociology of Security), discussed human-space vs. cyberspace. People cannot build secure systems—we know that—but people also cannot live with secure systems. We require a certain amount of flexibility in our systems. And finally, people don’t need secure systems. We survive with an astounding amount of insecurity in our world. The problem with cyberspace is that it was originally conceived as separate from the physical world, and that it could correct for the inadequacies of the physical world. Really, the two are intertwined, and that human space more often corrects for the inadequacies of cyberspace. Lessons: build messy systems, not clean ones; create a web of ties to other systems; create permanent records.
danah boyd, Microsoft Research (suggested reading: Taken Out of Context—American Teen Sociality in Networked Publics), does ethnographic studies of teens in cyberspace. Teens tend not to lie to their friends in cyberspace, but they lie to the system. Since an early age, they’ve been taught that they need to lie online to be safe. Teens regularly share their passwords: with their parents when forced, or with their best friend or significant other. This is a way of demonstrating trust. It’s part of the social protocol for this generation. In general, teens don’t use social media in the same way as adults do. And when they grow up, they won’t use social media in the same way as today’s adults do. Teens view privacy in terms of control, and take their cues about privacy from celebrities and how they use social media. And their sense of privacy is much more nuanced and complicated. In the discussion phase, danah wasn’t sure whether the younger generation would be more or less susceptible to Internet scams than the rest of us—they’re not nearly as technically savvy as we might think they are. “The only thing that saves teenagers is fear of their parents”; they try to lock them out, and lock others out in the process. Socio-economic status matters a lot, in ways that she is still trying to figure out. There are three different types of social networks: personal networks, articulated networks, and behavioral networks, and they’re different.
Mark Levine, Lancaster University (suggested reading: The Kindness of Crowds; Intra-group Regulation of Violence: Bystanders and the (De)-escalation of Violence), does social psychology. He argued against the common belief that groups are bad (mob violence, mass hysteria, peer group pressure). He collected data from UK CCTV cameras, searches for aggressive behavior, and studies when and how bystanders either help escalate or de-escalate the situations. Results: as groups get bigger, there is no increase of anti-social acts and a significant increase in pro-social acts. He has much more analysis and results, too complicated to summarize here. One key finding: when a third party intervenes in an aggressive interaction, it is much more likely to de-escalate. Basically, groups can act against violence. “When it comes to violence (and security), group processes are part of the solution—not part of the problem?”
Jeff MacKie-Mason, University of Michigan (suggested reading: Humans are smart devices, but not programmable; Security when people matter; A Social Mechanism for Supporting Home Computer Security), is an economist: “Security problems are incentive problems.” He discussed motivation, and how to design systems to take motivation into account. Humans are smart devices; they can’t be programmed, but they can be influenced through the sciences of motivational behavior: microeconomics, game theory, social psychology, psychodynamics, and personality psychology. He gave a couple of general examples of how these theories can inform security system design.
Joe Bonneau, Cambridge University, talked about social networks like Facebook, and privacy. People misunderstand why privacy and security is important in social networking sites like Facebook. People underestimate of what Facebook really is; it really is a reimplementation of the entire Internet. “Everything on the Internet is becoming social,” and that makes security different. Phishing is different, 419-style scams are different. Social context makes some scams easier; social networks are fun, noisy, and unpredictable. “People use social networking systems with their brain turned off.” But social context can be used to spot frauds and anomalies, and can be used to establish trust.
Three more sessions to go. (I am enjoying liveblogging the event. It’s helping me focus and pay closer attention.)
Adam Shostack’s liveblogging is here. Ross Anderson’s liveblogging is in his blog post’s comments. Matt Blaze’s audio is here.
Second SHB Workshop Liveblogging (5)
David Livingstone Smith moderated the fourth session, about (more or less) methodology.
Angela Sasse, University College London (suggested reading: The Compliance Budget: Managing Security Behaviour in Organisations; Human Vulnerabilities in Security Systems), has been working on usable security for over a dozen years. As part of a project called “Trust Economics,” she looked at whether people comply with security policies and why they either do or do not. She found that there is a limit to the amount of effort people will make to comply—this is less actual cost and more perceived cost. Strict and simple policies will be complied with more than permissive but complex policies. Compliance detection, and reward or punishment, also affect compliance. People justify noncompliance by “frequently made excuses.”
Bashar Nuseibeh, Open University (suggested reading: A Multi-Pronged Empirical Approach to Mobile Privacy Investigation; Security Requirements Engineering: A Framework for Representation and Analysis), talked about mobile phone security; specifically, Facebook privacy on mobile phones. He did something clever in his experiments. Because he wasn’t able to interview people at the moment they did something—he worked with mobile users—he asked them to provide a “memory phrase” that allowed him to effectively conduct detailed interviews at a later time. This worked very well, and resulted in all sorts of information about why people made privacy decisions at that earlier time.
James Pita, University of Southern California (suggested reading: Deployed ARMOR Protection: The Application of a Game Theoretic Model for Security at the Los Angeles International Airport), studies security personnel who have to guard a physical location. In his analysis, there are limited resources—guards, cameras, etc.—and a set of locations that need to be guarded. An example would be the Los Angeles airport, where a finite number of K-9 units need to guard eight terminals. His model uses a Stackelberg game to minimize predictability (otherwise, the adversary will learn it and exploit it) while maximizing security. There are complications—observational uncertainty and bounded rationally on the part of the attackers—which he tried to capture in his model.
Markus Jakobsson, Palo Alto Research Center (suggested reading: Male, late with your credit card payment, and like to speed? You will be phished!; Social Phishing; Love and Authentication; Quantifying the Security of Preference-Based Authentication), pointed out that auto insurers ask people if they smoke in order to get a feeling for whether they engage in high-risk behaviors. In his experiment, he selected 100 people who were the victim of online fraud and 100 people who were not. He then asked them to complete a survey about different physical risks such as mountain climbing and parachute jumping, financial risks such as buying stocks and real estate, and Internet risks such as visiting porn sites and using public wi-fi networks. He found significant correlation between different risks, but I didn’t see an overall pattern emerge. And in the discussion phase, several people had questions about the data. More analysis, and probably more data, is required. To be fair, he was still in the middle of his analysis.
Rachel Greenstadt, Drexel University (suggested reading: Practical Attacks Against Authorship Recognition Techniques (pre-print); Reinterpreting the Disclosure Debate for Web Infections), discussed ways in which humans and machines can collaborate in making security decisions. These decisions are hard for several reasons: because they are context dependent, require specialized knowledge, are dynamic, and require complex risk analysis. And humans and machines are good at different sorts of tasks. Machine-style authentication: This guy I’m standing next to knows Jake’s private key, so he must be Jake. Human-style authentication: This guy I’m standing next to looks like Jake and sounds like Jake, so he must be Jake. The trick is to design systems that get the best of these two authentication styles and not the worst. She described two experiments examining two decisions: should I log into this website (the phishing problem), and should I publish this anonymous essay or will my linguistic style betray me?
Mike Roe, Microsoft, talked about crime in online games, particularly in Second Life and Metaplace. There are four classes of people on online games: explorers, socializers, achievers, and griefers. Griefers try to annoy socializers in social worlds like Second Life, or annoy achievers in competitive worlds like World of Warcraft. Crime is not necessarily economic; criminals trying to steal money is much less of a problem in these games than people just trying to be annoying. In the question session, Dave Clark said that griefers are a constant, but economic fraud grows over time. I responded that the two types of attackers are different people, with different personality profiles. I also pointed out that there is another kind of attacker: achievers who use illegal mechanisms to assist themselves.
In the discussion, Peter Neumann pointed out that safety is an emergent property, and requires security, reliability, and survivability. Others weren’t so sure.
Adam Shostack’s liveblogging is here. Ross Anderson’s liveblogging is in his blog post’s comments. Matt Blaze’s audio is here.
Conference dinner tonight at Legal Seafoods. And four more sessions tomorrow.
Sidebar photo of Bruce Schneier by Joe MacInnis.