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Yuval Elovici

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 Juan Guarnizo

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Publications

2019
[j99]
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  - journals/csur/HomoliakTGEO19
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  - https://dblp.org/rec/journals/csur/HomoliakTGEO19
Ivan Homoliak, Flavio Toffalini, Juan Guarnizo, Yuval Elovici, Martín Ochoa:
Insight Into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures. ACM Comput. Surv. 52(2): 30:1-30:40 (2019)
2018
[c116]
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  - conf/sp/ChongTGEB18
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Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder:
Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? IEEE Symposium on Security and Privacy Workshops 2018: 15-21
[i54]
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  - journals/corr/abs-1805-01612
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Ivan Homoliak, Flavio Toffalini, Juan Guarnizo, Yuval Elovici, Martín Ochoa:
Insight into Insiders: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures. CoRR abs/1805.01612 (2018)
2017
[c111]
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  - conf/ccs/GuarnizoTBOTSE17
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Juan David Guarnizo, Amit Tambe, Suman Sankar Bhunia, Martín Ochoa, Nils Ole Tippenhauer, Asaf Shabtai, Yuval Elovici:
SIPHON: Towards Scalable High-Interaction Physical Honeypots. CPSS@AsiaCCS 2017: 57-68
[c101]
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  - conf/sac/MeidanBSGOTE17
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Yair Meidan, Michael Bohadana, Asaf Shabtai, Juan David Guarnizo, Martín Ochoa, Nils Ole Tippenhauer, Yuval Elovici:
ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis. SAC 2017: 506-509
[i48]
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Juan Guarnizo, Amit Tambe, Suman Sankar Bhunia, Martín Ochoa, Nils Ole Tippenhauer, Asaf Shabtai, Yuval Elovici:
SIPHON: Towards Scalable High-Interaction Physical Honeypots. CoRR abs/1701.02446 (2017)
[i36]
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  - journals/corr/abs-1709-04647
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Yair Meidan, Michael Bohadana, Asaf Shabtai, Martín Ochoa, Nils Ole Tippenhauer, Juan David Guarnizo, Yuval Elovici:
Detection of Unauthorized IoT Devices Using Machine Learning Techniques. CoRR abs/1709.04647 (2017)

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