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MOBISYS
2008
ACM
14 years 10 months ago
Detecting energy-greedy anomalies and mobile malware variants
Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
Hahnsang Kim, Joshua Smith, Kang G. Shin
CORR
2011
Springer
212views Education» more  CORR 2011»
13 years 5 months ago
Combining Neural Networks for Skin Detection
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
Chelsia Amy Doukim, Jamal Ahmad Dargham, Ali Cheki...
IAT
2007
IEEE
14 years 5 months ago
Agent-Based Network Intrusion Detection System
The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on highspeed netw...
Vojtech Krmicek, Pavel Celeda, Martin Rehák...
ITIIS
2010
172views more  ITIIS 2010»
13 years 9 months ago
Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router
Traffic matrix-based anomaly detection and DDoS attacks detection in networks are research focus in the network security and traffic measurement community. In this paper, firstly,...
Ruoyu Yan, Qinghua Zheng, Haifei Li
GAMESEC
2010
136views Game Theory» more  GAMESEC 2010»
13 years 8 months ago
Effective Multimodel Anomaly Detection Using Cooperative Negotiation
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
Alberto Volpatto, Federico Maggi, Stefano Zanero