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Journal Articles
- 2016
[j4]Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici:
XML-AD: Detecting anomalous patterns in XML documents. Inf. Sci. 326: 71-88 (2016)- 2011
- [j3]Asaf Shabtai, Eitan Menahem, Yuval Elovici:
F-Sign: Automatic, Function-Based Signature Generation for Malware. IEEE Trans. Syst. Man Cybern. Part C 41(4): 494-508 (2011) - 2009
- [j2]Eitan Menahem, Asaf Shabtai, Lior Rokach, Yuval Elovici:
Improving malware detection by applying multi-inducer ensemble. Comput. Stat. Data Anal. 53(4): 1483-1494 (2009) - [j1]Eitan Menahem, Lior Rokach, Yuval Elovici:
Troika - An improved stacking schema for classification tasks. Inf. Sci. 179(24): 4097-4122 (2009)
Conference and Workshop Papers
- 2017
- [c8]Bar Haim, Eitan Menahem, Yaron Wolfsthal, Christopher Meenan:
Visualizing Insider Threats: An Effective Interface for Security Analytics. IUI Companion 2017: 39-42 - 2014
- [c7]Gabi Nakibly, Adi Sosnovich, Eitan Menahem, Ariel Waizel, Yuval Elovici:
OSPF vulnerability to persistent poisoning attacks: a systematic analysis. ACSAC 2014: 336-345 - 2013
- [c6]Eitan Menahem, Yuval Elovici, Nir Amar, Gabi Nakibly:
ACTIDS: an active strategy for detecting and localizing network attacks. AISec 2013: 55-66 - [c5]Eitan Menahem, Asaf Shabtai, Adi Levhar:
Detecting malware through temporal function-based features. CCS 2013: 1379-1382 - [c4]Eitan Menahem, Lior Rokach, Yuval Elovici:
Combining one-class classifiers via meta learning. CIKM 2013: 2435-2440 - 2012
- [c3]Eitan Menahem, Gabi Nakibly, Yuval Elovici:
Network-based intrusion detection systems go active! CCS 2012: 1004-1006 - [c2]Eitan Menahem, Rami Puzis, Yuval Elovici:
Detecting Spammers via Aggregated Historical Data Set. NSS 2012: 248-262 - 2011
- [c1]Aryeh Kontorovich, Danny Hendler, Eitan Menahem:
Metric Anomaly Detection via Asymmetric Risk Minimization. SIMBAD 2011: 17-30
Informal and Other Publications
- 2013
- [i4]Eitan Menahem, Gabi Nakibly, Yuval Elovici:
ACTIDS: An Active Strategy For Detecting And Localizing Network Attacks. CoRR abs/1306.4845 (2013) - 2012
- [i3]Eitan Menahem, Rami Puzis:
Detecting Spammers via Aggregated Historical Data Set. CoRR abs/1205.1357 (2012) - [i2]Eitan Menahem, Alon Schclar, Lior Rokach, Yuval Elovici:
Securing Your Transactions: Detecting Anomalous Patterns In XML Documents. CoRR abs/1209.1797 (2012) - 2011
- [i1]Eitan Menahem, Lior Rokach, Yuval Elovici:
Combining One-Class Classifiers via Meta-Learning. CoRR abs/1112.5246 (2011)
Coauthor Index
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