|
1.
|
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
/ Hassan Halawa ; Konstantin Beznosov ; Baris Coskun ; Meizhu Liu ; et al
[LERSSE-RefConfPaper-2018-003]
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of the attack and to mitigate the overall damage to users, companies, and the public at large. [...]
Published in In the proceedings of Twenty-Third International Conference on Financial Cryptography and Data Security (FC'19), St. Kitts, 2019:
Fulltext: Final-verson -  PDF; FC19-1-CameraReady-a - PDF PDF (PDFA);
|
|
2.
|
Forecasting Suspicious Account Activity at Large-Scale Online Service Providers
/ Hassan Halawa ; Matei Ripeanu ; Konstantin Beznosov ; Baris Coskun ; et al
[LERSSE-REPORT-2018-001]
In the face of large-scale automated social engineering attacks to large online services, fast detection and remediation of compromised accounts are crucial to limit the spread of new attacks and to mitigate the overall damage to users, companies, and the public at large. [...]
Published in H. Halawa, M. Ripeanu, K. Beznosov, B. Coskun, and M. Liu "Forecasting Suspicious Account Activity at Large-Scale Online Service Providers", published in arXiv https://arxiv.org/abs/1801.08629v1:
Fulltext: PDF PDF (PDFA);
|
|
3.
|
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);
|
|
4.
|
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);
|
|
5.
|
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);
|
|
6.
|
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);
|
|
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: PDF PDF (PDFA);
|
|
8.
|
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: PDF;
|
|
9.
|
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: PDF;
|
|
10.
|
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.:
Transfer from CDS 0.99.7: PDF;
|
guest ::
