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JCP
2006
173views more  JCP 2006»
15 years 6 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
AVI
2008
15 years 8 months ago
Browsing a website with topographic hints
This work aimed to propose an adaptive web site in the field of cultural heritage that can dynamically suggest links, based on not intrusive profiling methodologies integrated wit...
Silvia Rossi, A. Inserra, Ernesto Burattini
DIMVA
2009
15 years 7 months ago
On the Effectiveness of Software Diversity: A Systematic Study on Real-World Vulnerabilities
Abstract. Many systems have been introduced to detect software intrusions by comparing the outputs and behavior of diverse replicas when they are processing the same, potentially m...
Jin Han, Debin Gao, Robert H. Deng
ACSC
2005
IEEE
16 years 21 hour ago
Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters
Most current network intrusion detection systems employ signature-based methods or data mining-based methods which rely on labelled training data. This training data is typically ...
Kingsly Leung, Christopher Leckie
TISSEC
2010
119views more  TISSEC 2010»
15 years 1 months ago
Storage-Based Intrusion Detection
Storage-based intrusion detection allows storage systems to transparently watch for suspicious activity. Storage systems are well-positioned to spot several common intruder action...
Adam G. Pennington, John Linwood Griffin, John S. ...