Wassila Lalouani

Assistant Professor

Name

Contact Info

Phone:
410-704-6310
Office:
7800 York Road (YR), Room 443
Email:
wlalouani@towson.edu

Education

Ph. D., Computer Science, University of Maryland, Baltimore County

M.S., Computer Science, University of Maryland, Baltimore County

B.S., Computer Science, University of Science and Technology Houari Boumediene (USTHB)

Areas of Expertise

Machine Learning

Network Privacy

Cybersecurity

Telehealth Systems

Cyber Physical System Security

Distributed Systems.

Selected Publications and Presentations

  • Wassila Lalouani, Mohamed Younis, Mohammad Ebrahimabadi, and Naghmeh Karimi. 2022. Countering Modeling Attacks in PUF-based IoT Security Solutions. ACM Journal of Emerging Technology. Comput. Syst. 18, 3, Article 46 (July 2022), 28 pages.
  • Lalouani and M. Younis, "A Robust Distributed Intrusion Detection System for Collusive Attacks on Edge of Things," 2022 IEEE Wireless Communications and Networking Conference (WCNC), 2022, pp. 1004-1009.
  • Younis, W. Lalouani, N. Lasla, L. Emokpae and M. Abdallah, "Blockchain-Enabled and Data-Driven Smart Healthcare Solution for Secure and Privacy-Preserving Data Access," in IEEE Systems Journal, vol. 16, no. 3, pp. 3746-3757, Sept. 2022.
  • Lalouani, M. Younis, M. Ebrahimabadi and N. Karimi, "Robust and Efficient Data Security Solution for Pervasive Data Sharing in IoT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 775-781.
  • Mohamed Younis, Wassila Lalouani, Uthman Baroudi, Countering radiometric signature exploitation using adversarial machine learning based protocol switching, Computer Communication Journal, 2021, 174, 109-121.
  • Wassila Lalouani, Mohamed Younis, A Federated Learning Framework for Resource Constrainted Fog Networks, IEEE Symposium on Computers and Communications (ISCC),2022.
  • Wassila Lalouani, Mohamed Younis, Ian White-Gittensb, Roland N. Emokpae, Jr.c and Lloyd E. Emokpae, Energy-Efficient Collection of Wearable Sensor Data through Predictive Sampling, Smart Health Journal, Volume 21,2021, 100208, ISSN 2352-6483.
  • Lalouani and M. Younis, "Robust Distributed Intrusion Detection System for Edge of Things," 2021 IEEE Global Communications Conference (GLOBECOM), 2021, pp. 01-06,.
  • Lloyd E. Emokpae, Wassila Lalouani, Mohamed Younis and Roland N. Emokpae, Jr.c, ”Smart Multimodal Telehealth-IoT System for COVID-19 Patients,” in IEEE Pervasive Computing, vol. 20, no. 2, pp. 73-80, 1 April-June 2021.
  • Mohammad Ebrahimabadi, Mohamed Younis; Wassila Lalouani; Naghmeh Karimi, ”A Novel Modeling-Attack Resilient Arbiter-PUF Design,” 2021 34th International Conference on VLSI Design and 2021 20th International Conference on Embedded Systems (VLSID), 2021, pp. 123-128.
  • Mohammad Ebrahimabadi, Mohamed Younis; Wassila Lalouani; Naghmeh Karimi, An Attack Resilient PUF-based Authentication Mechanism for Distributed Systems, IEEE International Conference on VLSI Design and 21th International Conference on Embedded Systems (VLSID), 2022.
  • Mohammad Ebrahimabadi,Wassila Lalouani, Mohamed Younis; Naghmeh Karimi, ”Countering PUF Modeling Attacks through Adversarial Machine Learning,” 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2021, pp. 356-361.
  • Dayuan Tan, Mohamed Younis, Wassila Lalouani, Sookyoung Lee, Adaptive Traffic Lights Control System for Mixed Traffic of Connected Autonomous Vehicles (CAVs) and Human-Driven Vehicles (HVs) Accepted IEEE Smart World Congress Conference 2021.
  • Lloyd Emokpae; Roland N Emokpae, Jr.; Ese Bowry; Jaeed B Saif; Muntasir Mahmud; Wassila Lalouani; Mohamed Younis; Robert L Joyner, Jr., A Wearable Multi-Modal Acoustic System for Breathing Analysis, submitted to Journal of the Acoustical Society of America.
  • Wassila Lalouani and Mohamed Younis, ”Machine Learning Enabled Secure Collection of Phasor Data in Smart Power Grid Networks,” 2020 16th International Conference on Mobility, Sensing and Networking (MSN), 2020, pp. 546-553.
  • Wassila Lalouani and Mohamed Younis, “Multi-observable Reputation Scoring System for Flagging Suspicious User Sessions,” Computer Networks Journal , Volume 182, 2020,107474, ISSN 1389-1286.
  • Wassila Lalouani, Mohamed Younis, Danila Frolov, Uthman Baroudi “Adversarial Machine Learning based Protocol Switching Mechanism for Countering Radiometric Signature Exploitation,” IEEE International Conference on Communications (ICC 2020), Dublin, Ireland, June 2020.
  • Mohamed Younis, Sookyoung Lee,Wassila Lalouani, Dayuan Tan, Sanket Gupte, “Connected and Autonomous Vehicles in Smart Cities” , CRC-Tayloramp;Francis, Boca Raton, Florida, USA 2020.
  • Wassila Lalouani, Mohamed Younis, Nadjib Badache, “Interconnecting isolated network segments through intermittent links”, Journal of Network and Computer Applications, Volume 108, 2018, Pages 53-63, ISSN 1084-8045.
  • Wassila Lalouani, Mohamed F. Younis, Nadjib Badache : Optimized repair of a partitioned network topology. Computer Networks 128: 63-77 (2017).
  • Wassila Lalouani, Mohamed F. Younis, Mohamed El-Amine Chergui, Nadjib Badache: Load-Balanced and Energy-Efficient Coverage of Dispersed Events Using Mobile Sensor/Actuator Nodes. GLOBECOM 2015: 1-7.
  • Wassila Lalouani, Mohamed F. Younis, Miloud Bagaa, Nadjib Badache: Effective handling of spreading events using wireless sensor and actuator networks. IWCMC 2014: 476-482.