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» Intrusion Detection with Neural Networks
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ISCC
2005
IEEE
107views Communications» more  ISCC 2005»
15 years 9 months ago
FTSE: The FNP-Like TCAM Searching Engine
As the Internet grows at a very rapid pace, so does the incidence of attack events and documented unlawful intrusions. The Network Intrusion Detection Systems (NIDSes) are designe...
Rong-Tai Liu, Chia-Nan Kao, Hung-Shen Wu, Ming-Cha...
RAID
1999
Springer
15 years 8 months ago
IDS Standards: Lessons Learned to Date
: I will discuss two efforts to get Intrusion Detection Systems to work together - the Common Intrusion Detection Framework (CIDF), and the IETF's working group to develop an ...
Stuart Staniford-Chen
139
Voted
NN
2000
Springer
165views Neural Networks» more  NN 2000»
15 years 3 months ago
Construction of confidence intervals for neural networks based on least squares estimation
We present the theoretical results about the construction of confidence intervals for a nonlinear regression based on least squares estimation and using the linear Taylor expansio...
Isabelle Rivals, Léon Personnaz
APSCC
2008
IEEE
15 years 10 months ago
Integration and Implementation of Secured IP Based Surveillance Networks
— This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet Protocol (IP) surveillance cameras in a wireless sens...
Charles C. Castello, Jeffrey Fan, Te-Shun Chou, Ho...
SAC
2010
ACM
15 years 10 months ago
Botzilla: detecting the "phoning home" of malicious software
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...