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APNOMS
2008
Springer
13 years 10 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
TMA
2010
Springer
120views Management» more  TMA 2010»
13 years 5 months ago
DeSRTO: An Effective Algorithm for SRTO Detection in TCP Connections
Spurious Retransmission Timeouts in TCP connections have been extensively studied in the scientific literature, particularly for their relevance in cellular mobile networks. At the...
Antonio Barbuzzi, Gennaro Boggia, Luigi Alfredo Gr...
SIGCOMM
2010
ACM
13 years 8 months ago
An analysis of social network-based Sybil defenses
Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been propo...
Bimal Viswanath, Ansley Post, P. Krishna Gummadi, ...
CORR
2012
Springer
209views Education» more  CORR 2012»
12 years 3 months ago
Densest Subgraph in Streaming and MapReduce
The problem of finding locally dense components of a graph is an important primitive in data analysis, with wide-ranging applications from community mining to spam detection and ...
Bahman Bahmani, Ravi Kumar, Sergei Vassilvitskii
IWIA
2003
IEEE
14 years 1 months ago
Intrusion Detection Testing and Benchmarking Methodologies
— The ad-hoc methodology that is prevalent in today’s testing and evaluation of network intrusion detection algorithms and systems makes it difficult to compare different algor...
Nicholas Athanasiades, Randal Abler, John G. Levin...