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SPRINGSIM
2007
13 years 6 months ago
Modeling and analysis of worm defense using stochastic activity networks
— Stochastic activity networks (SANs) are a widely used formalism for describing complex systems that have random behavior. Sophisticated software tools exist for the modeling an...
David M. Nicol, Steve Hanna, Frank Stratton, Willi...
IMC
2009
ACM
13 years 11 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...
ICDCSW
2008
IEEE
13 years 11 months ago
Modeling Attack Behaviors in Rating Systems
Abstract— Online feedback-based rating systems are gaining popularity. Dealing with unfair ratings in such systems has been recognized as an important problem and many unfair rat...
Qinyuan Feng, Yafei Yang, Yan Lindsay Sun, Yafei D...
IWIA
2005
IEEE
13 years 10 months ago
Malware Defense Using Network Security Authentication
Malware defenses have primarily relied upon intrusion fingerprints to detect suspicious network behavior. While effective for discovering computers that are already compromised,...
Joseph V. Antrosio, Errin W. Fulp
CSREASAM
2009
13 years 6 months ago
A Stochastic Model of the Damage Propagation in Database Systems
Security defense tools like firewalls and antivirus softwares are not sufficient to defend against dynamic threats to database systems. Successful attacks could not only seriously ...
Hai Wang, Su Yan