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VLDB
2007
ACM
164views Database» more  VLDB 2007»
16 years 2 months ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
JUCS
2008
113views more  JUCS 2008»
15 years 1 months ago
What is Correctness of Security Protocols?
: As soon as major protocol flaws were discovered empirically -- a good luck that is not older than the early 1990s -- this title question came up to the world. It was soon realise...
Giampaolo Bella
109
Voted
SSDBM
2005
IEEE
122views Database» more  SSDBM 2005»
15 years 7 months ago
Detection and Tracking of Discrete Phenomena in Sensor-Network Databases
This paper introduces a framework for Phenomena Detection and Tracking (PDT, for short) in sensor network databases. Examples of detectable phenomena include the propagation over ...
Mohamed H. Ali, Mohamed F. Mokbel, Walid G. Aref, ...
RAID
2004
Springer
15 years 7 months ago
HoneyStat: Local Worm Detection Using Honeypots
Worm detection systems have traditionally used global strategies and focused on scan rates. The noise associated with this approach requires statistical techniques and large data s...
David Dagon, Xinzhou Qin, Guofei Gu, Wenke Lee, Ju...
118
Voted
CORR
2010
Springer
149views Education» more  CORR 2010»
15 years 1 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh