Intelligent and Autonomous Systems LabIASL
Photo of Anas Alsoliman

Anas Alsoliman

Ph.D. Candidate2016 – now
Research Interests:
  • Vehicular Networks
  • Security & Privacy of Connected and Autonomous Vehicles
  • Optical Camera Communication via Computer-Vision
  • Software-Defined Radios
Education:
  • 2014
    M.S. in Network Engineering and Security
    DePaul University, Illinois, U.S.
  • 2012
    B.S. in Information Systems
    King Saud University, Saudi Arabia.

I obtained my Master’s degree in Network Engineering and Security from DePaul University. In my Master’s final project, I designed a network architecture with multiple fault-tolerance strategies for delay-sensitive applications that require dual-homed data centers. I was able to prove (using real enterprise-grade networking equipments) how my design can keep the network stable even when multiple parts of the network fail at the same time.

I worked at STC (one of the largest telecommunications companies in the Middle East) as a network engineer in the Packet-Core Network division under Network Control & Architecture department that evaluates, designs, and proposes technical solutions to the most critical part of ISP; the core level of the PS network.

At UCI, I am a Networked System Ph.D. Candidate and my research focus on the communication networks of Connected and Autonomous Vehicles, whether the vehicles are ground (i.e. cars and trucks) or aerial (i.e. Unmanned Aerial Vehicles, A.K.A drones). In particular, I investigate the security and privacy aspects of such networks. Currently I am researching the methodologies for authenticating the identities of legitimate vehicles while detecting the presence of illegitimate ones via different approaches such as drone First-Person View (FPV) video analysis and optical authentication & localization.

Publications

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  • Anas Alsoliman
    Marco Levorato
    Qi Alfred Chen
    A. Alsoliman, M. Levorato, and Q. A. Chen, Vision-Based Two-Factor Authentication and Localization Scheme for Autonomous Vehicles, Third International Workshop on Automotive and Autonomous Vehicle Security (part of NDSS), 2021. 
    @article{alsoliman-levorato-autosec2021,
  author = {Alsoliman, Anas and Levorato, Marco and Chen, Qi Alfred},
  title = {Vision-Based Two-Factor Authentication and Localization Scheme for Autonomous Vehicles},
  journal = {Third International Workshop on Automotive and Autonomous Vehicle Security (part of NDSS)},
  year = {2021},
}
  • Anas Alsoliman
    Giulio Rigoni
    Marco Levorato
    Cristina Pinotti
    Nils Ole Tippenhauer
    Mauro Conti
    A. Alsoliman, G. Rigoni, et al.M. Levorato, C. Pinotti, N. O. Tippenhauer, and M. Conti, COTS Drone Detection using Video Streaming Characteristics, in International Conference on Distributed Computing and Networking 2021, 2021, pp. 166 – 175. 
    @inproceedings{alsoliman-rigoni-2021-icdcn,
  author = {Alsoliman, Anas and Rigoni, Giulio and Levorato, Marco and Pinotti, Cristina and Tippenhauer, Nils Ole and Conti, Mauro},
  title = {COTS Drone Detection using Video Streaming Characteristics},
  booktitle = {International Conference on Distributed Computing and Networking 2021},
  pages = {166--175},
  year = {2021},
}
  • Anas Alsoliman
    Abdulrahman Bin Rabiah
    Marco Levorato
    A. Alsoliman, A. B. Rabiah, and M. Levorato, Privacy-Preserving Authentication Framework for UAS Traffic Management Systems, in 2020 4th Cyber Security in Networking Conference (CSNet), IEEE, 2020, pp. 1 – 8. 
    @inproceedings{alsoliman-rabiah-2020-csnet,
  author = {Alsoliman, Anas and Rabiah, Abdulrahman Bin and Levorato, Marco},
  title = {Privacy-Preserving Authentication Framework for UAS Traffic Management Systems},
  booktitle = {2020 4th Cyber Security in Networking Conference (CSNet)},
  pages = {1--8},
  organization = {IEEE},
  year = {2020},
}