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» On Detecting Camouflaging Worm
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USS
2008
14 years 5 days ago
To Catch a Predator: A Natural Language Approach for Eliciting Malicious Payloads
We present an automated, scalable, method for crafting dynamic responses to real-time network requests. Specifically, we provide a flexible technique based on natural language pro...
Sam Small, Joshua Mason, Fabian Monrose, Niels Pro...
JSAC
2006
137views more  JSAC 2006»
13 years 9 months ago
Adaptive Defense Against Various Network Attacks
In defending against various network attacks, such as distributed denial-of-service (DDoS) attacks or worm attacks, a defense system needs to deal with various network conditions a...
Cliff Changchun Zou, Nick G. Duffield, Donald F. T...
JCS
2011
138views more  JCS 2011»
13 years 22 days ago
Automatic analysis of malware behavior using machine learning
Malicious software—so called malware—poses a major threat to the security of computer systems. The amount and diversity of its variants render classic security defenses ineffe...
Konrad Rieck, Philipp Trinius, Carsten Willems, Th...
IWSOS
2007
Springer
14 years 4 months ago
Collaborative Anomaly-Based Attack Detection
Today networks suffer from various challenges like distributed denial of service attacks or worms. Multiple different anomaly-based detection systems try to detect and counter such...
Thomas Gamer, Michael Scharf, Marcus Schöller
NOMS
2008
IEEE
141views Communications» more  NOMS 2008»
14 years 4 months ago
Detecting BGP anomalies with wavelet
—In this paper, we propose a BGP anomaly detection framework called BAlet that delivers both temporal and spatial localization of the potential anomalies. It requires only a simp...
Jianning Mai, Lihua Yuan, Chen-Nee Chuah