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» Machine learning attacks against the Asirra CAPTCHA
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IDEAL
2003
Springer
13 years 10 months ago
Detecting Distributed Denial of Service (DDoS) Attacks through Inductive Learning
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
Sanguk Noh, Cheolho Lee, Kyunghee Choi, Gihyun Jun...
ICEIS
2008
IEEE
13 years 11 months ago
Next-Generation Misuse and Anomaly Prevention System
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...
Pablo Garcia Bringas, Yoseba K. Penya
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
13 years 10 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
ICC
2007
IEEE
128views Communications» more  ICC 2007»
13 years 5 months ago
The Power of Temporal Pattern Processing in Anomaly Intrusion Detection
Abstract— A clear deficiency in most of todays Anomaly Intrusion Detection Systems (AIDS) is their inability to distinguish between a new form of legitimate normal behavior and ...
Mohammad Al-Subaie, Mohammad Zulkernine
SOUPS
2009
ACM
13 years 11 months ago
Conditioned-safe ceremonies and a user study of an application to web authentication
We introduce the notion of a conditioned-safe ceremony. A “ceremony” is similar to the conventional notion of a protocol, except that a ceremony explicitly includes human part...
Chris Karlof, J. D. Tygar, David Wagner