Titlebook: Security Protocols XXVI; 26th International W Vashek Matyáš,Petr Švenda,Jonathan Anderson Conference proceedings 2018 Springer Nature Switz

陈腐思想

HoneyPAKEs,and the Honeywords construction of Juels and Rivest to detect loss of password files. The resulting construction combines the properties of both mechanisms: ensuring that the password is intrinsically protected by the PAKE protocol during transmission and the Honeywords mechanisms for detecting atte

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Too Big to FAIL: What You Need to Know Before Attacking a Machine Learning System,rable to a wide range of attacks; meanwhile, there are no systematic defenses. In this position paper we argue that to make progress toward such defenses, the specifications for machine learning systems must include precise adversary definitions—a key requirement in other fields, such as cryptograph

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How Does Match-Fixing Inform Computer Game Security?,notion of security for computer games in the context of match fixing, which was never considered before. Then we offer a security economics analysis, and discuss potential countermeasures for addressing this threat. We propose a novel crowd-sourcing method for match-fixing detection. Our approach is

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Projection

Your Code Is My Code: Exploiting a Common Weakness in OAuth 2.0 Implementations, be used by an attacker to gain a victim user’s OAuth 2.0 code (a token representing a right to access user data) without the user’s knowledge; this code can then be used to impersonate the user to the relevant relying party website. We examined 27 leading OAuth 2.0 identity providers, and found that 19 of them are vulnerable to these attacks.