Spamming for Science: Active Measurement in Web 2.0 Abuse Research [chapter]

Andrew G. West, Pedram Hayati, Vidyasagar Potdar, Insup Lee
2012 Lecture Notes in Computer Science  
Spam and other electronic abuses have long been a focus of computer security research. However, recent work in the domain has emphasized an economic analysis of these operations in the hope of understanding and disrupting the profit model of attackers. Such studies do not lend themselves to passive measurement techniques. Instead, researchers have become middle-men or active participants in spam behaviors; methodologies that lie at an interesting juncture of legal, ethical, and human subject
more » ... ., IRB) guidelines. In this work two such experiments serve as case studies: One testing a novel link spam model on Wikipedia and another using blackhat software to target blog comments and forums. Discussion concentrates on the experimental design process, especially as in uenced by human-subject policy. Case studies are used to frame related work in the area, and scrutiny reveals the computer science community requires greater consistency in evaluating research of this nature. Abstract. Spam and other electronic abuses have long been a focus of computer security research. However, recent work in the domain has emphasized an economic analysis of these operations in the hope of understanding and disrupting the profit model of attackers. Such studies do not lend themselves to passive measurement techniques. Instead, researchers have become middle-men or active participants in spam behaviors; methodologies that lie at an interesting juncture of legal, ethical, and human subject (e.g., IRB) guidelines. In this work two such experiments serve as case studies: One testing a novel link spam model on Wikipedia and another using blackhat software to target blog comments and forums. Discussion concentrates on the experimental design process, especially as influenced by humansubject policy. Case studies are used to frame related work in the area, and scrutiny reveals the computer science community requires greater consistency in evaluating research of this nature.
doi:10.1007/978-3-642-34638-5_9 fatcat:ikgjg6jzvngf3keuxbovehccf4