Defending Imitating Attacks in Web Credibility Evaluation Systems
Unlike traditional media such as television and newspapers, web contents are relatively easy to be published without being rigorously fact-checked. This seriously influences people's daily life if non-credible web contents are utilized for decision making. Recently, web credibility evaluation systems have emerged where web credibility is derived by aggregating ratings from the community (e.g., MyWOT). In this paper, the authors focus on the robustness of such systems by identifying a new type of attack scenario where an attacker imitates the behavior of trustworthy experts by copying system's credibility ratings to quickly build high reputation and then attack certain web contents.