SUSMAN
NCAT

                Secure and Usable Social Media & Networks (SUSMaN) Lab           

About

    The Secure Usable Social Media & Networks (SUSMaN) Lab at North Carolina A&T State University, led by Dr. Mohd Anwar, conducts research on a diverse set of topics related to Security and Privacy in Online Social Networks, Cloud, and Mobile platforms, health information management, and mHealth. The interdisciplinary research approach of SUSMaN Lab provides rich and diverse learning experience to both graduate and undergraduate researchers. Our research is funded by grants from several agencies including National Science Foundation and Air Force Research Lab.

News

  • [Student Accomplishment] Brandon Murphy successfully completed his master's project titled, "Network Monitoring for Threat & Vulnerability Identification in a Cloud System" (Summer 2016).

  • [Student Accomplishment] Janette Archie successfully defended master's thesis titled, "TROS: The Categorization of Trust in Social Networks using Semantic Web" (Spring 2016).

  • [Student Accomplishment] Ashiq Imran completed master's thesis titled, "Ontology-based Access Control for Addressing Multi-tenancy in Health Cloud" (Fall 2015).

  • [Service] Dr. Anwar is recently appointed to serve on the NIH review panel.

  • [Service] Dr. Anwar is recently appointed on the editorial board of the International Journal of Healthcare Information Systems & Informatics.

  • [Research Grant] Dr. Anwar received a prestigious research grant from NSF's Secure and Trustworthy Cyberspace Program!!!

  • [Research Grant] Dr. Anwar received a research grant from Air Force Research Lab to work on Cloud Security!!!

  • [Media Coverage] Dr. Anwar and his colleague Prof. Joshi of the University of Pittsburgh show how Facebook's mutual-friend feature creates security risks and privacy concerns :When Friends Create Enemies.

Projects

  • Usable Security and Privacy Controls in Software Systems
    Research Question: How do we measure and improve the efficacy of security and privacy controls in Software Systems?

  • Trust & Reciprocity in Online Social Media
    Research Question: How can trust and reciprocity be modeled and measured in Online Social Media?

  • Smart Health and Wellbeing Systems
    Research Question: How can personal computing technologies be used for ubiquitous health and wellness magagement?

  • Agents & Ontology
    Ideas - chart

  • Location-aware Services
    Research Question: How can personal computing technologies be used for ubiquitous personalized location-aware services?

  • Auditing & Provenance in Cloud

People

Mohd Anwar, Ph.D. Assistant Professor of Computer Science
Director, Secure and Usable Social Media & Networks Lab
Co-Director, Cyber-Human Analytics Research for Internet of Things

Overview:

Mohd Anwar is an Assistant Professor of Computer Science, and Director of Secure and Usable Social Media & Networks Lab. Dr.Anwar has experience and interest in designing usable secure, privacy-preserving, and trusted infrastructures, systems, and applications in different online contexts, specifically in Online Social Networks (OSN), e-Learning, and e-Health domains. His recent publication includes topology-based access control model for social network systems, trust-based approach to mitigate attacks on IP networks, access control policy models, visualization of access control policies for end-users in social network systems, and a privacy-enhancing identity management models for e-Learning.

Dr. Anwar’s research incorporates usability and human factor issues in the design and development of security and privacy solutions. His multidisciplinary research approach integrates computer science concepts with theories from social sciences (such as Goffman’s impression management theory, Roger’s protection motivation theory, communication-human information processing theory, Cognitive Behavioral Theory). Dr. Anwar serves as program chair in the IEEE International Workshop on Issues and Challenges in Social Computing and is an editorial board member of the Journal of Privacy & Health Information Management.


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Recent Teaching:

  • Usable Security
  • Doctoral Research Methods
  • Secure Social Computing
  • Information Privacy and Security
  • Senior Project
  • Network Security

Research Assistants:

Munene Kanampiu
Research Area: Intrusion Detection in Social Networks

Munene is pursuing a PhD in Computer Science with an interest in information assurance.


Rahmira Rufus
Research Area: Intrusion Detection in IoT

Rahmira is pursuing a PhD in Computer Science with an interest in information assurance. She is a teaching and research assistant for the department of computer science. Rahmira has experience in systems engineering, web development, project and contract management. Her information assurance background includes systems security design and enterprise information security architecture. Rahmira has received a master’s and bachelor’s degree in computer science, while also obtaining an information privacy and security certification.


Ashiq Imran
Research Area: Cloud Auditing

Ashiq holds a bachelor’s degree in Computer Science from Bangladesh University of Engineering & Technology. He is currently a graduate research assistant under the supervision of Dr. Anwar at the Department of Computer Science, and a member of the SUSMaN Lab. His research interests lie in Cloud auditing and mobile health.


Brandon Murphy
Research Area: Cloud Auditing / Deep Content Inspection

Brandon Murphy holds a bachelor’s degree in Computer Science from North Carolina A&T State University. He is currently a graduate research assistant under the supervision of Dr. Anwar at the Department of Computer Science, and a member of the SUSMaN Lab. His research interests lie in Cloud auditing and Deep Content Inspection.


Zhuoning Yuan
Research Area: Online Social Media

Zhuoning finished his first-two-year study in Henan Polytechnic University of China and came to NCA&T to peruse his Bachelor degree. He shows strong interest in coding and software application with expertise of C++, Matlab and Ms Office. He is currently an undergraduate research assistant under the supervision of Dr. Anwar and a member of the SUSMaN Lab. His research interest lies in online social media.

James Brown
Research Area: Smart Location-Based Services

James is an undergraduate research assistant, as well as a tutor and teaching assistant for the computer science department. He has programming skills in the languages of Java, C++, and HTML. He has experience with Windows, Linux, and Android platforms. James has aided in varius graduate research studies on the topics of Google+, security and development of operating systems, and social media search algorithms.


Marguirite McDaniel
Research Area: mHealth

Prospective Students

A PhD/master's student position is immediately available!!!

"Hard work beats talent when talent fails to work hard" - Kevin Durant. Apply only if you are talented and hardworking.

Minimum Requirements:
  • Ability to think critically and read and write well (a somewhat reasonable metric is GRE score)
  • An undergraduate degree from an accredited Computer Science or related program
  • 3.2 GPA on a 4.0 scale

If you are interested to join SUSMaN Lab, please e-mail Dr. Anwar a 1-page persuasive essay on your suitability for doing research in any of the aforementioned projects.

Recent Publications

  • Brown, J., Anwar, M. and Dozier, G.: An artificial Immunity Approach to Malware Detection in a Mobile Platform (Accepted to Springer EURASIP Journal on Information Security), 2016.
  • Alasmary, S. and Anwar, M.: Security and Privacy Challenges in IoT-based Health Cloud. Proceedings of International Conference on Computational Science & Computational Intelligence - Internet of Things & Internet of Everything Track, 2016
  • Kanampiu, M., Anwar, M.: "Not All FRIENDs are Equal": Friendship Classification for Defending against Social Engineering Attacks. Journal of Cybersecurity Education, Research and Practice, 2016
  • He, W., Anwar, M., Yuan, X., Tian, X.: Developing and Using Evidence-based E-learning Videos for Cybersecurity Education. Proceedings of the KSU Conference on Cybersecurity Education, Research and Practice,2016
  • Anwar, M. and He, W. and Yuan, X.: Employment Status and Cybersecurity Behaviors. Proceedings of the International Conference on Behavioral, Economic, and Socio-cultural Computing, Duke University, Durham, NC, USA, 2016.
  • Anwar, M. and Brusilovsky, P.: Privacy and Territoriality Issues in an Online Social Learning Portal. International Journal of Information Security & Privacy, 11(1), 2016
  • Anwar, M., He, W., Ash, I., Yuan, X., Li, L., Xu, L.: Gender Difference and Employees' Cybersecurity Behaviors. Elsevier Journal of Computers in Human Behavior, 2016
  • Brown, J., Anwar, M. and Dozier, G.: Intrusion Detection using Multi-detector Set Artificial Immune System. IEEE International Conference on Information Reuse & Integration (IRI), 2016.
  • Brown, J. and Anwar, M.: Mobile Malware Detection using Multiple Detector Set Artificial Immune System, IEEE S&P Poster, 2016
  • Brown, J., Anwar, M. and Dozier, G.: An Evolutionary General Regression Neural Network Classifier for Intrusion Detection. IEEE International Conference on Computer Communication and Networks (ICCCN), 2016.
  • Brown, J., Anwar, M. and Dozier, G.: Detecting Mobile Malware: An Artificial Immunity Approach. IEEE S&P : Bio-inspired Security, Trust, Assurance, and Resilience , 2016.
  • Williams, I., Yuan, X., McDonald, J.T., and Anwar, M.: A Method for Developing Abuse Cases and Its Evaluation. Journal of Software, 2016.
  • Anwar, M. and Yuan, Z.: Linking Tweet and Obesity. International Conference for Smart Health, 2015
  • Anwar, M. and Imran, A.: Access Control for Multi-tenancy in Cloud-based Health Information Systems. IEEE CSCloud, 2015
  • Anwar, M., Joshi, J., and Tan, J.: Anytime, Anywhere Access to Secure, Privacy-aware Healthcare Services: Issues, Approaches & Challenges. Elsevier Health Policy and Technology, pp. 299--311, 2015.
  • Anwar, M. and Doss, C.: Lighting the Mobile Information FHIR: How FHIRframe Could Drammatically Improve Mobile Health? Journal of American Health Information Management, 2015.
  • Anwar, M. and Imran, A.: A Comparative Study of Alphanumeric and Graphical Passwords for Mobile Authentication. 26th Modern Artificial Intelligence & Cognitive Science Conference, 2015.
  • He, W., Ash, I., Li, L., Xu, L., Anwar, M., & Yuan, X.: A Security Behavior Model of Employees in Cyberspace. Proceedings of the 21st Americas Conference on Information Systems (AMCIS 2015), 2015.
  • Doss, C., Anwar, M., & Manjaro, N.: A Context-aware Remote Health Monitoring Service for Improved Patient Care. Springer mHealth, 2015.
  • Olanya M.O., Anwar, M., He, Z., Larkin, R.P., Honeycutt, C. W.: Survival Potential of P. Infestans Sporangia in relation to Environmental Factors and Late Blight Occurence. Journal of Plant Protection Research, 2015.
  • Li, L., He, W., Ash, I., Xu, L., Anwar, M., & Yuan, X.: Does Explicit Information Security Policy Affect Employees’ Cyber Security Behavior? A Pilot Study. IEEE Conference on Enterprise Systems, 2014.
  • Anwar, M.: Leveraging Online Social Media for Capturing Observations of Daily Living and Ecological Momentary Assessment.IEEE Information Reuse and Integration, 2014.
  • Imran, A. and Anwar, M.: HIPAA Compliant Health Cloud. mHealth Conference, 2014.
  • Pelechrinis, K., Zadorozhny, V., Kounev, V., Oleshchuk, V., Anwar, M., and Lin, Y.: Automatic Evaluation of Information Provider Reliability and Expertise. Springer World Wide Web Journal, 2013.
  • Jin, L., Joshi, J., and Anwar, M.: Mutual Friend-based Attacks on Online Social Networks. Elsevier Computers & Security Journal, 2013.
  • Anwar, M., Masoumzadeh, A., and Joshi, J.B.D.: Privacy and Security in Location-Based Services. In Hassan A. Karimi, ed. Advances in Location-Based Computing and Services. Taylor & Francis, 2013.
  • Anwar, M., Hill, E., Skujins, J., Huynh, K., and Doss, C.: Kalico: A Smartphone Application for Health-smart Menu Selection within a Budget. International Conference for Smart Health, Springer LNCS, 2013.

Collaboration

  • LERSAIS Lab, University of Pittsburgh
  • GeoInformtics Lab, University of Pittsburgh
  • Center for Cyber Defense, NC A&T State University
  • Center for Advanced Studies in Identity Sciences, NC A&T State University
  • Old Dominion University

Contact Us

    Email: susmanlab@gmail.com | Phone: (336)285-2457 | Twitter: @susman_lab