The Deterrence of Deception in Socio-Technical Systems

社会技术系统中欺骗的威慑

• 批准号: EP/K033476/1
• 负责人: Ross Anderson
• 金额: $ 123.06万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK033476%2F1
• 关键词: Deterrence; Deception; Socio; Technical; Systems

We have assembled a team of computer scientists and psychologists to do breakthrough research on deception. This is not just the basic problem at the heart of cyber-crime, but is central to human behaviour. Deception is the flip side of cooperation; as our ancestors evolved to cooperate in larger groups, so also we evolved the ability to deceive - and to detect deception in others. This includes the ability to deceive ourselves, which in turn helps us deceive others.The move of business and social life online is changing deception in many ways. Some of these are essentially mechanical: on the one hand it's easy for crooks to create good copies of bank websites, while on the other hand companies can collect and analyse ever more data to detect fraud. Other changes affect our behaviour; for example, as transactions become more impersonal, the inhibitions against cheating become less. It feels less wrong to defraud a website than to defraud a person, and as more commerce goes online, fraud is rising. There is a strong practical reason for finding ways of making transactions feel more personal again, and this is one aspect of our investigation.But there are much bigger and deeper issues. Existing deception research has almost all dealt with the static case of whether the experimental subject could tell whether another person was lying. The answer is "usually not"; we're not good at detecting people telling lies in the laboratory where the stakes are low and there is no interaction. We will move this to a new level by studying how we can deter deception in interactive contexts. We have a long list of ideas we want to test, by building a framework in which people play games in conditions with players who are mechanical, anonymous, partly identifiable or socially connected, and where players can cheat but not punish, punish but not cheat, or both. We will explore conditions where "cheating" subjects believe they are breaking social norms against conditions where deception is socially acceptable, such as bluffing in online poker. We will do experiments in online interviewing to explore the circumstances in which subjects can detect deception interactively. Another thread will be exploring the extent to which surveillance, by humans, by software or both, can act as a deterrent to cheating. Finally we will investigate how all this relates to the perception of privacy, so we can better understand what forms of fraud surveillance are acceptable as well as effective.The aim of our research is not merely to come up with better mechanisms and design principles for deterring deception at e-commerce websites, and indeed in social networks. It is to deepen our fundamental understanding of how deception works by exploring the different perspectives that online interaction creates, and allows us to manipulate. This will, at the level of basic science, enable us to understand better what it means to be human, and the potential for our humanity to be expressed, realised and developed in the complex socio-technical systems on which we are all coming to depend.

我们召集了一个由计算机科学家和心理学家组成的团队，对欺骗进行突破性的研究。这不仅是网络犯罪的核心问题，也是人类行为的核心问题。欺骗是合作的另一面;当我们的祖先进化到在更大的群体中合作时，我们也进化出了欺骗的能力--以及发现他人欺骗的能力。这包括欺骗自己的能力，这反过来又帮助我们欺骗他人。商业和社交生活的在线化正在以多种方式改变欺骗行为。其中一些基本上是机械的：一方面，骗子很容易创建银行网站的良好副本，而另一方面，公司可以收集和分析更多的数据来检测欺诈行为。其他的变化也影响着我们的行为，例如，随着交易变得越来越非个人化，对欺骗的抑制也变得越来越少，欺骗一个网站比欺骗一个人感觉更不好，随着越来越多的商业活动在网上进行，欺诈行为也在增加。我们有很强的现实理由去寻找让交易感觉更个人化的方法，这是我们调查的一个方面，但还有更大、更深层次的问题。现有的欺骗研究几乎都是针对实验对象是否能分辨出另一个人是否在撒谎这一静态案例。答案是“通常不会”;我们不擅长在实验室里发现人们说谎，因为风险很低，没有互动。我们将通过研究如何在互动环境中阻止欺骗来将这一点提升到一个新的水平。我们有一长串的想法要测试，通过建立一个框架，在这个框架中，人们与机械的、匿名的、部分可识别的或社会联系的玩家一起玩游戏，玩家可以作弊但不能惩罚，惩罚但不能作弊，或者两者兼而有之。我们将探讨“作弊”的条件下，他们认为自己是打破社会规范的条件下，欺骗是社会可接受的，如在网上扑克虚张声势。我们将在在线访谈中进行实验，以探索受试者能够互动地发现欺骗的情况。另一个线索将是探索人类、软件或两者兼而有之的监控在多大程度上可以威慑作弊。最后，我们将调查这一切是如何与隐私的感知，所以我们可以更好地了解什么形式的欺诈监控是可以接受的，以及effectived.The我们的研究的目的不仅仅是要拿出更好的机制和设计原则，以阻止欺骗在电子商务网站，实际上在社交网络。通过探索在线互动创造的不同视角，加深我们对欺骗如何运作的基本理解，并允许我们操纵。在基础科学的层面上，这将使我们能够更好地理解人类的意义，以及我们人类在我们所依赖的复杂社会技术系统中表达、实现和发展的潜力。

项目成果

Deception from Creation to Detection in the Online Auction Marketplace.

在线拍卖市场上的欺骗从产生到检测。

• 发表时间: 2015
• 作者: Glass, B. D.

Deception in Online Auction Marketplaces: Incentives and Personality Shape Seller Honesty

在线拍卖市场中的欺骗行为：激励措施和个性塑造卖家的诚实度

• 发表时间: 2015
• 作者: Glass, B. D.

Modelling Misrepresentation in Online Seller-Buyer Interactions.

在线卖家与买家互动中的虚假陈述建模。

• 发表时间: 2015
• 作者: Glass, B. D.

Reading this may harm your computer: The psychology of malware warnings

阅读本文可能会损害您的计算机：恶意软件警告的心理学

• DOI: 10.1016/j.chb.2014.09.014
• 发表时间: 2014
• 期刊: Computers in Human Behavior
• 影响因子: 9.9
• 作者: Modic D

The deterrence of deception through imposing cognitive load

通过施加认知负荷来威慑欺骗

• 发表时间: 2016
• 期刊: Open Access Journal of Forensic Psychology
• 作者: Mann, S