Publications of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) 22 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
1. Harvesting the Low-hanging Fruits: Defending Against Automated Large-Scale Cyber-Intrusions
by Focusing on the Vulnerable Population / Hassan Halawa ; Konstantin Beznosov ; Yazan Boshmaf ; Baris Coskun ; et al [LERSSE-RefConfPaper-2016-003]
The orthodox paradigm to defend against automated social-engineering attacks in large-scale socio-technical systems is reactive and victim-agnostic [...]
Published in In Proceedings of the New Security Paradigms Workshop (NSPW), September 26-29, 2016, Granby, CO, USA.:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
2. 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:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
3. 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:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
4. 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.:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
5. 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);
6. To Befriend Or Not? A Model of Friend Request Acceptance on Facebook / Hootan Rashtian ; Yazan Boshmaf ; Pooya Jaferian ; Konstantin Beznosov [LERSSE-RefConfPaper-2014-002]
Accepting friend requests from strangers in Facebook-like online social networks is known to be a risky behavior. [...]
Published in Rashtian, H., Boshmaf, Y., Jaferian, P., Beznosov, K. (2014, July). To Befriend Or Not? A Model of Friend Request Acceptance on Facebook. In Proceedings of the 10th symposium on Usable Privacy and Security. ACM.:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
7. 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.:
Fulltext: Download fulltextPDF Download fulltextPDF (PDFA);
8. Know Your Enemy: The Risk of Unauthorized Access in Smartphones by Insiders / Ildar Muslukhov ; Yazan Boshmaf ; Cynthia Kuo ; Jonathan Lester ; et al [LERSSE-RefConfPaper-2013-002]
Smartphones store large amounts of sensitive data, such as SMS messages, photos, or email. [...]
Published in Ildar Muslukhov, Yazan Boshmaf, Cynthia Kuo, Jonathan Lester and Konstantin Beznosov, Know Your Enemy: The Risk of Unauthorized Access in Smartphones by Insiders. In Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services companion:
Fulltext: paper.rev2 - Download fulltextPDF; paper - Download fulltextPDF Download fulltextPDF (PDFA); ASONAM_2013 - Download fulltextPDF Download fulltextPDF (PDFA);
9. 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.:
Fulltext: Download fulltextPDF;
10. Augur: Aiding Malware Detection Using Large-Scale Machine Learning / Yazan Boshmaf ; Matei Ripeanu ; Konstantin Beznosov ; Kyle Zeeuwen ; et al [LERSSE-POSTER-2012-001]
We present Augur: a large-scale machine learning system that uses malware static and dynamic analyses to predict the maliciousness of new files. [...]
Published in Yazan Boshmaf, Matei Ripeanu, Konstantin Beznosov, Kyle Zeeuwen, David Cornell, Dmitry Samosseiko. Augur: Aiding Malware Detection Using Large-Scale Machine Learning. At the Poster Session of the 21st Usenix Security Symposium, Bellevue, WA, 2012:
Transfer from CDS 0.99.7: Download fulltextPDF;

Publications of the Laboratory for Education and Research in Secure Systems Engineering (LERSSE) : 22 records found   1 - 10nextend  jump to record:
Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.