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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
16 years 3 days ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik
IMC
2004
ACM
15 years 5 months ago
On scalable attack detection in the network
Current intrusion detection and prevention systems seek to detect a wide class of network intrusions (e.g., DoS attacks, worms, port scans) at network vantage points. Unfortunatel...
Ramana Rao Kompella, Sumeet Singh, George Varghese
CCS
2009
ACM
15 years 6 months ago
Behavior based software theft detection
Along with the burst of open source projects, software theft (or plagiarism) has become a very serious threat to the healthiness of software industry. Software birthmark, which re...
Xinran Wang, Yoon-chan Jhi, Sencun Zhu, Peng Liu
ACSAC
2006
IEEE
15 years 5 months ago
Addressing SMTP-Based Mass-Mailing Activity within Enterprise Networks
Malicious mass-mailing activity on the Internet is a serious and continuing threat that includes mass-mailing worms, spam, and phishing. A mechanism commonly used to deliver such ...
David Whyte, Paul C. van Oorschot, Evangelos Krana...
CCS
2009
ACM
16 years 10 days ago
Automatic discovery of botnet communities on large-scale communication networks
Botnets are networks of compromised computers infected with malicious code that can be controlled remotely under a common command and control (C&C) channel. Recognized as one ...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani