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» Gaussian Process Learning for Cyber-Attack Early Warning
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SDM
2008
SIAM
105views Data Mining» more  SDM 2008»
13 years 5 months ago
Gaussian Process Learning for Cyber-Attack Early Warning
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
Jian Zhang 0004, Phillip A. Porras, Johannes Ullri...
CRITIS
2009
13 years 5 months ago
Towards Early Warning Systems - Challenges, Technologies and Architecture
We present the architecture of an automatic early warning system (EWS) that aims at providing predictions and advice regarding security threats in information and communication tec...
Martin Apel, Joachim Biskup, Ulrich Flegel, Michae...
CSREASAM
2006
13 years 5 months ago
Gibraltar: A Mobile Host-Based Intrusion Protection System
Although mobile devices are globally omnipresent, security developments for these devices have not kept pace with their technological advancements. Thus, mobile devices are increa...
Grant A. Jacoby, Thadeus Hickman, Stuart Warders, ...
AAAI
2007
13 years 6 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
NSPW
2006
ACM
13 years 10 months ago
Dark application communities
In considering new security paradigms, it is often worthwhile to anticipate the direction and nature of future attack paradigms. We identify a class of attacks based on the idea o...
Michael E. Locasto, Angelos Stavrou, Angelos D. Ke...