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» Intrusion Detection with Neural Networks
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ANCS
2005
ACM
14 years 1 months ago
SSA: a power and memory efficient scheme to multi-match packet classification
New network applications like intrusion detection systems and packet-level accounting require multi-match packet classification, where all matching filters need to be reported. Te...
Fang Yu, T. V. Lakshman, Martin Austin Motoyama, R...
INFOCOM
2009
IEEE
14 years 2 months ago
Identifying High Cardinality Internet Hosts
—The Internet host cardinality, defined as the number of distinct peers that an Internet host communicates with, is an important metric for profiling Internet hosts. Some examp...
Jing Cao, Yu Jin, Aiyou Chen, Tian Bu, Zhi-Li Zhan...
CCS
2007
ACM
14 years 2 months ago
Memsherlock: an automated debugger for unknown memory corruption vulnerabilities
Software vulnerabilities have been the main contributing factor to the Internet security problems such as fast spreading worms. Among these software vulnerabilities, memory corrup...
Emre Can Sezer, Peng Ning, Chongkyung Kil, Jun Xu
RAID
2005
Springer
14 years 1 months ago
Defending Against Injection Attacks Through Context-Sensitive String Evaluation
Abstract. Injection vulnerabilities pose a major threat to applicationlevel security. Some of the more common types are SQL injection, crosssite scripting and shell injection vulne...
Tadeusz Pietraszek, Chris Vanden Berghe
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...