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IMC
2009
ACM
15 years 6 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
MOBISYS
2008
ACM
15 years 11 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park
CORR
2008
Springer
150views Education» more  CORR 2008»
14 years 12 months ago
A Local Mean Field Analysis of Security Investments in Networks
Getting agents in the Internet, and in networks in general, to invest in and deploy security features and protocols is a challenge, in particular because of economic reasons arisi...
Marc Lelarge, Jean Bolot
FC
2010
Springer
171views Cryptology» more  FC 2010»
15 years 3 months ago
The Phish-Market Protocol: Securely Sharing Attack Data between Competitors
A key way in which banks mitigate the effects of phishing is to remove fraudulent websites or suspend abusive domain names. This ‘take-down’ is often subcontracted to special...
Tal Moran, Tyler Moore
CCS
2008
ACM
15 years 1 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...