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Lior Rokach

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Aviad Cohen 0002

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Publications

2021
[c113]
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  dblp key:
  - conf/ijcnn/Or-MeirCERN21
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  persistent URL:
  - https://dblp.org/rec/conf/ijcnn/Or-MeirCERN21
Ori Or-Meir, Aviad Cohen, Yuval Elovici, Lior Rokach, Nir Nissim:
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis. IJCNN 2021: 1-8
2019
[j92]
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  - journals/access/NissimCWLREG19
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  - https://dblp.org/rec/journals/access/NissimCWLREG19
Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles:
Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework. IEEE Access 7: 110050-110073 (2019)
[j90]
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  dblp key:
  - journals/compsec/NissimLCER19
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  - https://dblp.org/rec/journals/compsec/NissimLCER19
Nir Nissim, Omri Lahav, Aviad Cohen, Yuval Elovici, Lior Rokach:
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud. Comput. Secur. 87 (2019)
2017
[c90]
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  - conf/sgcrc/NissimCWLREG17
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Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, C. Lee Giles:
Scholarly Digital Libraries as a Platform for Malware Distribution. SG-CRC 2017: 107-128
2016
[j70]
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  dblp key:
  - journals/eswa/CohenNRE16
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  - https://dblp.org/rec/journals/eswa/CohenNRE16
Aviad Cohen, Nir Nissim, Lior Rokach, Yuval Elovici:
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods. Expert Syst. Appl. 63: 324-343 (2016)
2015
[c72]
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  dblp key:
  - conf/socs/MirskyCSFRES15
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  - https://dblp.org/rec/conf/socs/MirskyCSFRES15
Yisroel Mirsky, Aviad Cohen, Roni Stern, Ariel Felner, Lior Rokach, Yuval Elovici, Bracha Shapira:
Search Problems in the Domain of Multiplication: Case Study on Anomaly Detection Using Markov Chains. SOCS 2015: 70-77

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