Publications of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) 16 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
1. Thwarting Fake OSN Accounts by Predicting their Victims / Yazan Boshmaf ; Matei Ripeanu ; Konstantin Beznosov [LERSSE-RefConfPaper-2015-005]
Traditional defense mechanisms for fighting against automated fake accounts in online social networks are victim-agnostic. [...]
Published in Yazan Boshmaf, Matei Ripeanu, Konstantin Beznosov. Thwarting Fake OSN Accounts by Predicting their Victims. In Proceedings of the 2015 Workshop on Artificial Intelligent and Security Workshop (AISec'15), Denver, Colorado, USA, Oct, 2015:
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2. Security Analysis of Malicious Socialbots on the Web / Yazan Boshmaf [LERSSE-THESIS-2015-002]
The open nature of the Web, online social networks (OSNs) in particular, makes it possible to design socialbots—automation software that controls fake accounts in a target OSN, and has the ability to perform basic activities similar to those of real users. [...]
Published in Yazan Boshmaf, Security Analysis of Malicious Socialbots on the Web, PhD Dissertation, UBC, 2015:
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3. Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs / Yazan Boshmaf ; Dionysios Logothetis ; Georgos Siganos ; Jorge Leria ; et al [LERSSE-PRESENTATION-2015-001]
Detecting fake accounts in online social networks (OSNs) protects OSN operators and their users from various malicious activities. [...]
Published in Boshmaf et al. "Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs" In proceedings the 2015 Network and Distributed System Security Symposium (NDSS'15), San Diego, USA.:
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4. Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs / Yazan Boshmaf ; Dionysios Logothetis ; Georgos Siganos ; Jorge Leria ; et al [LERSSE-RefConfPaper-2014-004]
Detecting fake accounts in online social networks (OSNs) protects OSN operators and their users from various malicious activities. [...]
Published in Boshmaf et al. "Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs" In proceedings the 2015 Network and Distributed System Security Symposium (NDSS'15), San Diego, USA.:
Fulltext: NDSS_260_Final - Download fulltextPDF Download fulltextPDF (PDFA); boshmaf_ndss_2015 - Download fulltextPDF Download fulltextPDF (PDFA);
5. Thwarting fake accounts by predicting their victims / Yazan Boshmaf ; Dionysios Logothetis ; Georgos Siganos ; Matei Ripeanu ; et al [LERSSE-PRESENTATION-2014-001]
Traditional fake account detection systems employed by today's online social networks rely on either features extracted from user activities, or ranks computed from the underlying social graph. [...]
Published in Boshmaf et al. Thwarting fake accounts by predicting their victims. Invited talk at AAAI 2014 Spring Symposia, Social Hacking and Cognitive Security on the Internet and New Media, Stanford, CA, March, 2014.:
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6. Finding Influential Neighbors to Maximize Information Diffusion in Twitter / Hyoungshick Kim ; Konstantin Beznosov ; Eiko Yoneki [LERSSE-RefConfPaper-2014-001]
The problem of spreading information is a topic of considerable recent interest, but the traditional influence maximization problem is inadequate for a typical viral marketer who cannot access the entire network topology. [...]
Published in Finding Influential Neighbors to Maximize Information Diffusion in Twitter, Hyoungshick Kim, Konstantin Beznosov, and Eiko Yoneki, WWW’14 Companion, April 7–11, 2014, Seoul, Korea.:
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7. Graph-based Sybil Detection in Social and Information Systems / Yazan Boshmaf ; Konstantin Beznosov ; Matei Ripeanu [LERSSE-RefConfPaper-2013-001]
Sybil attacks in social and information systems have serious security implications. [...]
Published in Yazan Boshmaf, Konstantin Beznosov, Matei Ripeanu. Graph-based Sybil Detection in Social and Information Systems. In the Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'13), Niagara Falls, Canada, August 25-28, 2013.:
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8. Design and Analysis of a Social Botnet / Yazan Boshmaf ; Ildar Muslukhov ; Konstantin Beznosov ; Matei Ripeanu [LERSSE-RefJnlPaper-2012-002]
Online Social Networks (OSNs) have attracted millions of active users and have become an integral part of today's Web ecosystem. [...]
Published in Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, Matei Ripeanu. Design and Analysis of a Social Botnet. Elsevier Journal of Computer Network - Special Issue on Botnets, 2012.:
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9. Key Challenges in Defending Against Malicious Socialbots / Yazan Boshmaf ; Ildar Muslukhov ; Konstantin Beznosov ; Matei Ripeanu [LERSSE-PRESENTATION-2012-001]
The ease with which we adopt online personas and relationships has created a soft spot that cyber criminals are willing to exploit. [...]
Published in Usenix 5th Workshop on Large-scale Exploits and Emerging Threats (LEET'12), San Jose, CA, USA.:
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10. Key Challenges in Defending Against Malicious Socialbots / Yazan Boshmaf ; Ildar Muslukhov ; Konstantin Beznosov ; Matei Ripeanu [LERSSE-RefConfPaper-2012-002]
The ease with which we adopt online personas and relationships has created a soft spot that cyber criminals are willing to exploit. [...]
Published in Yazan Boshmaf, Ildar Muslukhov, Konstantin Beznosov, Matei Ripeanu. Key challenges in defending against malicious socialbots. In Proceedings of the 5th USENIX workshop on Large-scale exploits and emergent threats, LEET'12, Berkeley, CA, USA. USENIX Association.:
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Publications of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) : 16 records found   1 - 10next  jump to record:
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