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SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 2 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
DISCEX
2003
IEEE
14 years 28 days ago
Modeling Multistep Cyber Attacks for Scenario Recognition
Efforts toward automated detection and identification of multistep cyber attack scenarios would benefit significantly from a methodology and language for modeling such scenario...
Steven Cheung, Ulf Lindqvist, Martin W. Fong
AAAI
2006
13 years 9 months ago
When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions
Intrusion attempts due to self-propagating code are becoming an increasingly urgent problem, in part due to the homogeneous makeup of the internet. Recent advances in anomalybased...
Denver Dash, Branislav Kveton, John Mark Agosta, E...
CTRSA
2012
Springer
229views Cryptology» more  CTRSA 2012»
12 years 3 months ago
Practical Realisation and Elimination of an ECC-Related Software Bug Attack
We analyse and exploit implementation features in OpenSSL version 0.9.8g which permit an attack against ECDH-based functionality. The attack, although more general, can recover the...
Billy Bob Brumley, Manuel Barbosa, Dan Page, Frede...
DGO
2008
114views Education» more  DGO 2008»
13 years 9 months ago
Towards a business continuity information network for rapid disaster recovery
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities such as the terrorist attacks of September 11th 20...
Khalid Saleem, Steven Luis, Yi Deng, Shu-Ching Che...