23,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
12 °P sammeln
Andere Kunden interessierten sich auch für
![Automatic Intrusion Prevention Technique to Improve Network Security]( "Automatic Intrusion Prevention Technique to Improve Network Security")
Automatic Intrusion Prevention Technique to Improve Network Security23,99 €![Cybercrime Prevention in Social Networks by URL Detection - Cyber Law]( "Cybercrime Prevention in Social Networks by URL Detection - Cyber Law")
Cybercrime Prevention in Social Networks by URL Detection - Cyber Law45,99 €![An Intelligent Network Intrusion Detection and Prevention System]( "An Intelligent Network Intrusion Detection and Prevention System")
An Intelligent Network Intrusion Detection and Prevention System36,99 €![Signature Based Detection and Prevention of Botnets]( "Signature Based Detection and Prevention of Botnets")
Signature Based Detection and Prevention of Botnets26,99 €![Enhanced Packet Dissembling Schemes For Jamming Attacks Prevention]( "Enhanced Packet Dissembling Schemes For Jamming Attacks Prevention")
Enhanced Packet Dissembling Schemes For Jamming Attacks Prevention23,99 €![Distributed Denial of Service Attacks: Detection and Prevention]( "Distributed Denial of Service Attacks: Detection and Prevention")
Distributed Denial of Service Attacks: Detection and Prevention36,99 €![Intrusion Detection and Prevention Concepts and Techniques]( "Intrusion Detection and Prevention Concepts and Techniques")
Intrusion Detection and Prevention Concepts and Techniques40,99 €
Insider data theft attacks are characterized by an adversary stealing a legitimate user's credentials and using them to impersonate the authenticate user and to perform malicious activities. Prior works also combines a user behavior profiling technique with a baiting technique, but profiling user behavior using single modeling technique suffers from a considerable number of false positives. Also decoy documents are placed at conspicuous locations rather than using automatically generated decoys which may not give significant accuracy to the detection system. Proposed system will extend prior work and presents an integrated detection approach where behavior profiling will be done by combining more than one classifier, each uses different modeling algorithm to reduce false positive rate. Along with this proposed system will include a baiting approach based on automated generation of demand decoy documents on the user's file system and user authentication by challenge questions, to provide more accuracy. Proposed system could provide a strong defense mechanism against malicious insider data theft attacks.