Measuring Pay-per-Install: The Commoditization of Malware Distribution

By Juan Caballero, Chris Grier, Christian Peter Kreibich, Vern Paxson. USENIX Security Symposium, 2011

317 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3871a09a4c64716182f2238c4144b223faa39202

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Citations in the corpus

On the feasibility of online malware detection with performance counters (2013, background): “Initially created to attain notoriety or for fun, malware development today is mostly motivated by ﬁnancial gains [1, 2].”
The Role of Cloud Services in Malicious Software: Trends and Insights (2015, background): “analyze in [8] the modus-operandi of PPI services and measure their use for malware distribution.”
Adapting Social Spam Infrastructure for Political Censorship (2012, background): “If attackers relied on compromised machines, there is a possibility that the hosts used to access Twitter were also used by other parties— or the same party—for other malicious behavior such as distributing email spam [2].”
Behind the Scenes of Online Attacks: an Analysis of Exploitation Behaviors on the Web (2013, background): “Labeling the clusters allowed us to draw a general picture of the attack landscape, identifying the behavior behind each action performed both during and after the exploitation of a web application.”
CAMP: Content-Agnostic Malware Protection (2013, background): “CAMP: Content-Agnostic Malware Protection Moheeb Abu Rajab, Lucas Ballard, Noé Lutz, Panayiotis Mavrommatis, Niels Provos Google Inc. 1600 Amphitheatre Parkway, Mountain View, CA 94043 Abstract---In spite of recent advances, the world wide web remains an important vector for malware installation.”
Trafficking Fraudulent Accounts: The Role of the Underground Market in Twitter Spam and Abuse (2013, background): “We do so with the express intent of understanding how sellers register accounts and to disrupt their future efforts, but that does not allay our legal or ethical obligations.”
A survey of mobile malware in the wild (2011, background): “Our predictions for future mobile malware are based on trends in desktop malware [15], combined with”
Measuring the Cost of Cybercrime (2012, background): “A further study by Caballero, Grier, Kreibich and Paxson found that 12 of the world’s top 20 malware families used PPI services for distribution [5].”