Sciweavers

765 search results - page 104 / 153
» Detecting Anomalies and Intruders
Sort
View
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 10 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
CSREASAM
2006
15 years 7 months ago
Novel Attack Detection Using Fuzzy Logic and Data Mining
: - Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffect...
Norbik Bashah Idris, Bharanidharan Shanmugam
RTSS
2009
IEEE
16 years 1 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to t...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
COMCOM
2008
145views more  COMCOM 2008»
15 years 6 months ago
A game-theoretic intrusion detection model for mobile ad hoc networks
In this paper, we address the problem of increasing the effectiveness of an intrusion detection system (IDS) for a cluster of nodes in ad hoc networks. To reduce the performance o...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
IMC
2004
ACM
15 years 11 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