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» Detecting Anomalies and Intruders
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JAIR
2010
181views more  JAIR 2010»
13 years 2 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
FTCS
1993
111views more  FTCS 1993»
13 years 8 months ago
Detection and Discrimination of Injected Network Faults
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
Roy A. Maxion, Robert T. Olszewski
MOBISYS
2011
ACM
12 years 10 months ago
AccuLoc: practical localization of performance measurements in 3G networks
Operators of 3G data networks need to distinguish the performance of each geographic area in their 3G networks to detect and resolve local network problems. This is because the qu...
Qiang Xu, Alexandre Gerber, Zhuoqing Morley Mao, J...
IACR
2011
111views more  IACR 2011»
12 years 7 months ago
Secure Multi-Party Sorting and Applications
Sorting is among the most fundamental and well-studied problems within computer science and a core step of many algorithms. In this article, we consider the problem of constructing...
Kristján Valur Jónsson, Gunnar Kreit...
CSFW
2009
IEEE
14 years 2 months ago
Inputs of Coma: Static Detection of Denial-of-Service Vulnerabilities
—As networked systems grow in complexity, they are increasingly vulnerable to denial-of-service (DoS) attacks involving resource exhaustion. A single malicious input of coma can ...
Richard M. Chang, Guofei Jiang, Franjo Ivancic, Sr...