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1.
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Source Attribution of Cryptographic API Misuse in Android Applications
/ Ildar Muslukhov ; Yazan Boshmaf ; Konstantin Beznosov
[LERSSE-RefConfPaper-2018-002]
Recent research suggests that 88% of Android applications that use Java cryptographic APIs make at least one mistake, which results in an insecure implementation. [...]
Published in Ildar Muslukhov, Yazan Boshmaf, Konstantin Beznosov. Source Attribution of Cryptographic API Misuse in Android Applications. Proceedings of the 13th ACM ASIA Conference on Information, Computer and Communications Security (ACM ASIACCS '18), 2018.:
Fulltext:  PDF PDF (PDFA);
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2.
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Decoupling data-at-rest encryption and smartphone locking with wearable devices
/ Ildar Muslukhov ; San-Tsai Sun ; Primal Wijesekera ; Yazan Boshmaf ; et al
[LERSSE-RefJnlPaper-2017-001]
Smartphones store sensitive and confidential data, e.g., business related documents or emails. [...]
Published in I. Muslukhov, S.-T. Sun, P. Wijesekera, Y. Boshmaf, K. Beznosov, “Decoupling data-at-rest encryption and smartphone locking with wearable devices,” Pervasive and Mobile Computing, v. 32, 2016, 26-34.:
Fulltext: PDF PDF (PDFA);
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3.
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Harvesting the Low-hanging Fruits: Defending Against Automated Large-Scale Cyber-Intrusions by Focusing on the Vulnerable Populations
/ 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: PDF PDF (PDFA);
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4.
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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: PDF PDF (PDFA);
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5.
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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: PDF PDF (PDFA);
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6.
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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: PDF PDF (PDFA);
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7.
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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 - PDF PDF (PDFA); boshmaf_ndss_2015 - PDF PDF (PDFA);
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8.
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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: PDF PDF (PDFA);
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9.
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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: PDF PDF (PDFA);
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10.
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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 - PDF; paper - PDF PDF (PDFA); ASONAM_2013 - PDF PDF (PDFA);
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