Search Results - "Menahem, Eitan"

Improving malware detection by applying multi-inducer ensemble by Menahem, Eitan, Shabtai, Asaf, Rokach, Lior, Elovici, Yuval

“…Detection of malicious software (malware) using machine learning methods has been explored extensively to enable fast detection of new released malware. The…”
Get full text

XML-AD: Detecting anomalous patterns in XML documents by Menahem, Eitan, Schclar, Alon, Rokach, Lior, Elovici, Yuval

“…Many information systems use XML documents to store data and to interact with other systems. Abnormal documents, which can be the result of either an on-going…”
Get full text

Troika – An improved stacking schema for classification tasks by Menahem, Eitan, Rokach, Lior, Elovici, Yuval

“…Stacking is a general ensemble method in which a number of base classifiers are combined using one meta-classifier which learns their outputs. Such an approach…”
Get full text

F-Sign: Automatic, Function-Based Signature Generation for Malware by Shabtai, A, Menahem, E, Elovici, Y

“…In this research, we present a new method, termed F-Sign, for automatic extraction of unique signatures from malware files. F-Sign is primarily intended for…”
Get full text

Detecting Spammers via Aggregated Historical Data Set by Menahem, Eitan, Puzis, Rami

“…The battle between email service providers and senders of mass unsolicited emails (Spam) continues to gain traction. Vast numbers of Spam emails are sent…”
Get full text

ACTIDS: An Active Strategy For Detecting And Localizing Network Attacks by Menahem, Eitan, Nakibly, Gabi, Elovici, Yuval

“…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…”
Get full text

Combining One-Class Classifiers via Meta-Learning by Menahem, Eitan, Rokach, Lior, Elovici, Yuval

“…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…”
Get full text

Securing Your Transactions: Detecting Anomalous Patterns In XML Documents by Menahem, Eitan, Schclar, Alon, Rokach, Lior, Elovici, Yuval

“…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…”
Get full text