Esam Mohammed Al Oufi Ph.D.
from the School of Engineering and Computer Science at Oakland University

[1] Aloufi, E., Alrashdi, I., & Zohdy, M.( 2018, December). IoT Architecture based on SDN for Security:A Review. In 2018 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 972-977). IEEE.
[2] Alqazzaz, A., Alrashdi, I., Aloufi, E., Zohdy, M., & Ming, H. (2018). SecSPS: A Secure and Privacy-Preserving Framework for Smart Parking Systems. Journal of Information Security, 9(04), 299.
[3] Alqazzaz, A., Alrashdi, I., Alharthi, R., Aloufi, E., & Zohdy, M.( 2018, December). An Insight into Android Side-Channel Attacks. In 2018 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 776-780). IEEE.
[4] Alshehri, A., Alshahrani, H., Alzahrani, A., Alharthi, R., & Aloufi, E. (2018, December). The Potential of Utilizing Mobile Cloud Computing in Mobile Devices. In 2018 International Conference on Computational Science and Computational Intelligence (CSCI) (pp. 1328-1331). IEEE.
[5] Alrashdi, I., Alqazzaz, A., Aloufi, E., Alharthi, R., Zohdy, M., & Ming, H. (2019, January). AD-IoT: Anomaly Detection of IoT Cyberattacks in Smart City Using Machine Learning. In 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0305-0310). IEEE.
[6] Alharthi, R., Aloufi, E., Alqazzaz, A., Alrashdi, I., & Zohdy, M. (2019, January). DCentroid: Location Privacy-Preserving Scheme in Spatial Crowdsourcing. In 2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0715-0720). IEEE.
[7] Alqazzaz, A., Alharthi, R., Alrashdi, I., Aloufi, E., Zohdy, M., & Ming, H. (2019, April). A Practical Evaluation of a Secure and Energy-efficient Smart Parking System Using the MQTT Protocol. In Proceedings of the 3rd International Conference on Information System and Data Mining. ACM.(pp. 165-170).
[8] Alrashdi, I., Alqazzaz, A., Alharthi, R., Aloufi, E., Zohdy, M. A., & Ming, H. (2019, October). FBAD: Fog-based attack detection for IoT healthcare in smart cities. In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) (pp. 0515-0522). IEEE.
[9] R. S. Alharthi, E. Aloufi, I. Alrashdi, A. Alqazzaz, M. A. Zohdy and J. L. Rrushi, "Protecting Location Privacy for Crowd Workers in Spatial Crowdsourcing Using a Novel Dummy-Based Mechanism," in IEEE Access, vol. 8, pp. 114608-114622, 2020, doi: 10.1109/ACCESS.2020.3004470.
[10] E. Aloufi, R. Alharthi, I. Alrashdi, A. Alqazzaz, D. Alsulami and M. Zohdy, "TASC: Efficient Task Assignment in Spatial Crowdsourcing with Workers Privacy Protection," 2020 IEEE International Conference on Electro Information Technology (EIT), Chicago, IL, USA, 2020, pp. 546-550, doi: 10.1109/EIT48999.2020.9208271.
[11] E. Aloufi, R. Alharthi, M. Zohdy, D. Alsulami, I. Alrashdi and R. Olawoyin, "An Efficient Approach for Task Assignment in Spatial Crowdsourcing," 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), Vancouver, BC, Canada, 2020, pp. 1-5, doi: 10.1109/IEMTRONICS51293.2020.9216447.
[12] Albadrani, A., Alghayadh, F., Zohdy, M. A., Aloufi, E., & Olawoyin, R. (2021, January). Performance and Predicting of Inbound Logistics Processes Using Machine Learning. In 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0790-0795). IEEE.