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» Intrusion Detection with Neural Networks
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CORR
2004
Springer
146views Education» more  CORR 2004»
13 years 8 months ago
ANTIDS: Self-Organized Ant-based Clustering Model for Intrusion Detection System
: Security of computers and the networks that connect them is increasingly becoming of great significance. Computer security is defined as the protection of computing systems again...
Vitorino Ramos, Ajith Abraham
DFN
2003
13 years 9 months ago
High-Efficient Intrusion Detection Infrastructure
In recent years research activities in computer network security focus more actively on the development of effective methods in intrusion detection. The reason for this developmen...
Thomas Holz, Michael Meier, Hartmut König
ISI
2006
Springer
13 years 8 months ago
An Anomaly Detection Algorithm for Detecting Attacks in Wireless Sensor Networks
Wide applications of Wireless Sensor Networks also make them more interesting to adversaries. WSNs' protocols are designed without security in mind so they are susceptible to ...
Tran Van Phuong, Hung Le Xuan, Seong Jin Cho, Youn...
MOBIQUITOUS
2007
IEEE
14 years 2 months ago
A Ferry-based Intrusion Detection Scheme for Sparsely Connected Ad Hoc Networks
— Several intrusion detection approaches have been proposed for mobile adhoc networks. Many of the approaches assume that there are sufficient neighbors to help monitor the trans...
Mooi Choo Chuah, Peng Yang, Jianbin Han
ARC
2006
Springer
122views Hardware» more  ARC 2006»
14 years 2 days ago
UNITE: Uniform Hardware-Based Network Intrusion deTection Engine
Abstract. Current software implementations of network intrusion detection reach a maximum network connection speed of about 1Gbps (Gigabits per second). This paper analyses the Sno...
Sherif Yusuf, Wayne Luk, M. K. N. Szeto, William G...