5 citations · 7 across the 4 of their papers we have counts for
4 papers
ACTIDS: An Active Strategy For Detecting And Localizing Network Attacks
Eitan Menahem, Gabi Nakibly, Yuval Elovici
In this work we investigate a new approach for detecting attacks which aim to degrade the network's Quality of Service (QoS). To this end, a new network-based intrusion detection s…
Securing Your Transactions: Detecting Anomalous Patterns In XML Documents
Eitan Menahem, Alon Schclar, Lior Rokach +1
XML transactions are used in many information systems to store data and interact with other systems. Abnormal transactions, the result of either an on-going cyber attack or the act…
Detecting Spammers via Aggregated Historical Data Set
Eitan Menahem, Rami Puzis
The battle between email service providers and senders of mass unsolicited emails (Spam) continues to gain traction. Vast numbers of Spam emails are sent mainly from automatic botn…
Combining One-Class Classifiers via Meta-Learning
Eitan Menahem, Lior Rokach, Yuval Elovici
Selecting the best classifier among the available ones is a difficult task, especially when only instances of one class exist. In this work we examine the notion of combining one-c…