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» Foundations for Intrusion Prevention
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KDD
1997
ACM
184views Data Mining» more  KDD 1997»
15 years 1 months ago
JAM: Java Agents for Meta-Learning over Distributed Databases
In this paper, we describe the JAM system, a distributed, scalable and portable agent-based data mining system that employs a general approach to scaling data mining applications ...
Salvatore J. Stolfo, Andreas L. Prodromidis, Shell...
ACSAC
2008
IEEE
15 years 4 months ago
Systematic Signature Engineering by Re-use of Snort Signatures
Most intrusion detection systems apply the misuse detection approach. Misuse detection compares recorded audit data with predefined patterns denoted as signatures. A signature is ...
Sebastian Schmerl, Hartmut König, Ulrich Fleg...
RAID
2005
Springer
15 years 3 months ago
Sequence Number-Based MAC Address Spoof Detection
Abstract. The exponential growth in the deployment of IEEE 802.11based wireless LAN (WLAN) in enterprises and homes makes WLAN an attractive target for attackers. Attacks that expl...
Fanglu Guo, Tzi-cker Chiueh
85
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DRM
2006
Springer
15 years 1 months ago
Vicarious infringement creates a privacy ceiling
In high-tech businesses ranging from Internet service providers to e-commerce websites and music stores like Apple iTunes, there is considerable potential for collecting personal ...
Janice Y. Tsai, Lorrie Faith Cranor, Scott Craver
RAID
2005
Springer
15 years 3 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