Measurements and Mitigation of Peer-to-Peer-based Botnets: A Case Study on Storm Worm

By Thorsten Holz, Moritz Steiner, Frederic Dahl, Ernst W. Biersack, Felix C. Freiling. USENIX Workshop on Large-Scale Exploits and Emergent Threats, 2008

486 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/109ec53f37d1256c28bc7e773626b25e7c40f3cd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection (2008, methodology): “Therefore, here we briefly illustrate an example of a typical P2P-based botnet, namely Storm worm [18, 23].”
Not-a-Bot: Improving Service Availability in the Face of Botnet Attacks (2009, unknown): “The malware whose traces we gathered included: a) the Storm Worm [13], which was until recently the largest botnet, generating several tens of billions of spam messages per day; and b) three adware bots called 180solutions, Nbcsearch and eXactSearch, which are known to perpetrate click-fraud…”
Detecting algorithmically generated malicious domain names (2010, background): “Several studies have looked at understanding and reverseengineering the inner workings of botnets [5, 3, 4, 16, 30, 26, 29].”
Dynamics of information diffusion and its applications on complex networks (2016, background): “The other notorious one, Storm Worm, which is a backdoor Trojan horse also using e-mail messages to spread, had infected 1 to 10 million computers in 2007 and accounted for 8% of all malware infections globally three days after the infection began [77].”
PeerRush: Mining for unwanted P2P traffic (2013, background): “The noise has a more negative impact on the categorization of Storm and Waledac, in particular.”
PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval (2011, background): “dreds of thousands of bots [19], which is likely sufficient to overwhelm the security of the system.”
Understanding the Mirai Botnet (2017, background): “This work follows in a long line studies that have analyzed the structure, behavior, and evolution of the botnet ecosystem [12,37,76,84,85,91,96].”
Your botnet is my botnet: analysis of a botnet takeover (2009, methodology): “ber of infected machines [18, 21] and the ways in which criminals orchestrate spam campaigns [23].”