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Journal Papers


* my MSc Student, ** PhD Student, ^ Visiting Scholar,
^^ Undergrad Student, and ++ Postdoctoral Fellow (current/former).

  1. A. Bondok**, M. Badr**, M. Mahmoud, M. Alsabaan, M. Fouda++, M. Abdullah, “Securing one-class federated learning classifiers against adversarial attacks in smart grid”, IEEE Internet of Things Journal (IoT), 2024. Published Online.

  2. A. El-Toukhy**, M. Badr**, I. Elgarhy**, M. Alsabaan, and M. Mahmoud, “Repetitive backdoor attacks and countermeasures for smart grid reinforcement incremental learning”, IEEE Internet of Things Journal (IoT), 2024. Published online.

  3. I. Elgarhy**, M. Badr**, M. Mahmoud, M. Nabil**, M. Alsabaan, and M. Ibrahem**, “Securing smart grid false data detectors against white-box evasion attacks without sacrificing accuracy”, IEEE Internet of Things Journal, vol. 11, no. 20, pp. 33873–33889, 2024.

  4. A. Bondok**, O. Abdelsalam, M. Badr**, M. Mahmoud, M. Alsabaan, M. Alsaqhan, and M. Ibrahem**,“Accurate power consumption predictor and one-class electricity theft detector for smart grid “change-and-transmit” advanced metering infrastructure”, Applied Sciences, vol. 14, no. 20, 2024.

  5. I. Elgarhy**, M. Badr**, M. Mahmoud, M. Alsabaan, T. Alshawi, and M. Alsaqhan, “Xai-based accurate anomaly detector that is robust against black-box evasion attacks for the smart grid”, Applied Sciences, vol. 14, no. 21, 2024.

  6. A. Elshazly*, M. Badr**, M. Mahmoud, W. Eberle, M. Alsabaan, and M. Ibrahem**, “Reinforcement learning for fair and efficient charging coordination for smart grid”, Energies, vol. 17, no. 18, 2024.

  7. A. Shafee**, M. Mahmoud, J W Bruce, G. Srivastava, A. Balamsh, and A. Aljohani, “False data detector for electrical vehicles temporal-spatial charging coordination secure against evasion and privacy adversarial attacks”, IEEE Transaction on Dependance Secure Computing (TDSC), vol. 21, no. 4, pp. 2027–2044, 2024.

  8. E. Yaacoub, K. Abualsaud, M. Mahmoud, “Hybrid encryption for securing and tracking goods delivery by multi-purpose unmanned aerial vehicles in rural areas using cipher block chaining and physical layer security” MDPI - Drones, vol. 8, 2024. https://doi.org/10.3390/drones8030111.

  9. O. Elnakib*, E. Shaaban, M. Mahmoud and K. Emara, “Federated learning enabled IDS for internet of things on non-IID data”, International Journal of Intelligent Computing and Information Sciences, vol. 24, no. 1, pp. 13–28, 2024.

  10. O. Elnakib*, E. Shaaban, M. Mahmoud and K. Emara, “EIDM: deep learning model for IoT intrusion detection systems”, Journal of Supercomputer, vol. 79, p. 13241–13261, 2023. https://doi.org/10.1007/s11227-023-05197-0.

  11. S. Abdelfattah**, M. Baza**, M. Mahmoud, M. Fouda++, K. A. Abualsaud, E. Yaacoub, M. Alsabaan, and M. Guizani, “Lightweight multi-class support vector machine based medical diagnosis system with privacy-preservation”, MDPI Sensors, vol. 23, no. 22, 2023.

  12. S. Abdelfattah, M. M. Badr, M. M. E. A. Mahmoud, K. Abualsaud, E. Yaacoub, and M. Guizani, “Efficient and privacy-preserving cloud-based medical diagnosis using an ensemble classifier with inherent access control and micro-payment”, IEEE Internet of Things Journal, vol. 10, no. 24, pp. 22096–22110, 2023.

  13. H. Habbak**, M. Mahmoud, M. Fouda++, M. Alsabaan, A. Mattar, G. Salama, K. Metwally, “Efficient one-class false data detector based on deep svdd for smart grids”, Energies, vol. 16, no. 20, 2023.

  14. A. Bondok**, M. Mahmoud, M. Badr**, M. Fouda++, M. Abdallah, and M. Maazen, “Novel evasion attacks against adversarial training defense for smart grid federated learning”, IEEE Access, vol. 11, pp. 112953–112972, 2023.

  15. I. Elgarhy**, M. Badr**, M. Mahmoud, M. Fouda++, M. Alsabaan, and H. Kholidy, “Clustering and ensemble based approach for securing electricity theft detectors against evasion attacks”, IEEE Access, vol. 11, pp. 112147–112164, 2023.

  16. K. Khalil, M. Mamun, A. Sherif**, M. Elsersy, A. Imam, M. Mahmoud, and M. Alsabaan, “A federated learning model based on hardware acceleration for the early detection of alzheimer’s disease”, Sensors, vol. 23, no. 19, 2023.

  17. A. El-Toukhy**, M. Mahmoud, A. Bondok**, M. Fouda++, and M. Alsabaan, “Countering evasion attacks for smart grid reinforcement learning-based detectors”, IEEE Access, vol. 11, pp. 97373–97390, 2023.

  18. H. Si, Z. Zhang, O. Huseynov, I. Fidan, S. R. Hasan, and M. Mahmoud, “Machine learning-based investigation of the 3D printer cooling effect on print quality in fused filament fabrication: A cybersecurity perspective”, Inventions, vol. 8, no. 1, 2023.

  19. A. El-Toukhy**, M. Badr**, M. Mahmoud, G. Srivastava, M. Fouda++, and M. Alsabaan, “Electricity theft detection using deep reinforcement learning in smart power grids”, IEEE Access, vol. 11, pp. 59558–59574, 2023.

  20. M. Abdulaal, M. Mahmoud, S. Bello, J. Khalid, A. Aljohani, A. H. Milyani, A. Abdullah, and M. Ibrahem**, “Privacy-preserving detection of power theft in smart grid change and transmit (CAT) advanced metering infrastructure”, IEEE Access, vol. 11, pp. 68569–68587, 2023.

  21. A. Shafee**, M. Mahmoud, G. Srivastava, M. Fouda++, M. Alsabaan, and M. Ibrahem** , “Detection of distributed denial of charge (DDoC) attacks using deep neural networks with vector embedding” IEEE Access, vol. 11, pp. 75381–75397, 2023.

  22. M. Badr**, M. Mahmoud, M. Abdulaal, A. Aljohani, F. Alsolami, and A. Balamsh, “A novel evasion attack against global electricity theft detectors and a countermeasure ”, IEEE Internet of Things”, vol. 10, no. 12, pp. 11038–11053, 2023.

  23. H. Habbak**, M. Mahmoud, K. Metwally, M. Fouda++, M. Ibrahem**, “Load forecasting techniques and their applications in smart grids ”, Energies, vol. 16, no. 3, 2023.

  24. M. Badr**, M. Mahmoud, Y. Fang, M. Abdulaal, A. J. Aljohani, W. Alasmary, and M. Ibrahem**, “Privacy-preserving and communication-efficient energy prediction scheme based on federated learning for smart grids ”, IEEE Internet of Things, vol. 10, no. 9, pp. 7719–7736, 2023.

  25. H. Habbak**, M. Baza**, M. Mahmoud, K. Metwally, A. Mattar, and G. Salama, “Privacy-preserving charging coordination scheme for smart power grids using a blockchain”, MDPI Energies, Special Issue on ”Secure and Efficient Communication in Smart Grids”, vol. 15, no. 23, 2022.

  26. M. Nabil**, A. Sherif**, M. Mahmoud, W. Alasmary, M. Alsabaan, “Accurate and privacy-preserving person localization using federated-learning and the camera surveillance systems of public places”, IEEE Access, vol. 10, pp. 109894–109907, 2022.

  27. M. Ibrahem**, M. Mahmoud, F. Alsolami, W. Alasmary, A. AL-Ghamdi, and X. Shen, “Electricity-theft detection for change-and-transmit advanced metering infrastructure ”, IEEE Internet of Things, vol. 9, no. 24, pp. 25565–25580, 2022.

  28. N. Al-Maslamani, B Sait Ciftler, M. Abdallah, M. Mahmoud, “Towards secure federated learning for IoT using DRL-enabled reputation mechanism ” IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21971–21983, 2022.

  29. M. J. Abdulaal, M. Ibrahem**, M. Mahmoud, J. Khalid, A. J. Aljohani, A. H. Milyani, and A. Abusorrah, “Real-time detection of false readings in smart grid AMI using deep and ensemble learning”, IEEE Access, vol. 10, pp. 47541–47556, 2022. DOI: 10.1109/ACCESS.2022.3171262.

  30. M. Hataba, A. Sherif**, M. Mahmoud, M. Abdallah, and W. Alasmary, “Security and privacy issues in autonomous vehicles: A layer-based survey”, IEEE Open Journal of the Communications Society (OJCOMS), vol. 3, pp. 811–829, 2022. DOI: 10.1109/OJCOMS.2022.3169500.

  31. S. Alansari*, M. Badr**, M. Mahmoud, W. Alasmary, F. Alsolami, and A. Ali, “Efficient and privacy-preserving infection control system for covid-19-like pandemics using blockchain” IEEE Journal of Internet of Things, vol. 9, no. 4, pp. 2744–2760, 2022. DOI: 10.1109/JIOT.2021.3092601.

  32. S. Abdelfattah**, M. Baza**, M. Mahmoud, M. Fouda++, K. A. Abualsaud, and M. Guizani, “Multi-data-owner searchable encryption scheme over medical cloud data with efficient access control”, IEEE Systems Journal, vol. 16, no. 3, pp. 5067–5078, 2022. DOPI: 10.1109/JSYST.2021.3123956.

  33. M. Baza**, M. Pazos-Revilla**, A. Sherif**, M. Nabil**, A. Aljohani, M. Mahmoud, W. Alasmary, “Privacy preserving and collusion-resistant charging coordination schemes for smart grids” IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 19, no. 4, pp. 2226–2243, 2022. 10.1109/TDSC.2020.3048308.

  34. M. Badr**, M. Ibrahem**, M. Mahmoud, M. Fouda++, F. Alsolami, and W. Alasmary, “Detection of false reading attacks in smart grid net-metering system” IEEE Internet of Things Journal, vol. 9, no. 2, pp. 1386–1401, 2022. Doi: 10.1109/JIOT.2021.3087580.

  35. M. Baza**, M. Nabil**, M. Mahmoud, N. Bewermeier*, K. Fidan^^, W. Alasmary, and M. Abdallah, “Detecting sybil attacks using proofs of work and location in VANETs”, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 19, pp. 39–53, January/February 2022. DOI: 10.1109/TDSC.2020.2993769.

  36. Z. Haddad^, M. Baza**, M. Mahmoud, W. Alasmary, and F. Alsolami, “Secure and efficient AKA scheme and uniform handover protocol for 5G network using blockchain”, IEEE Open Journal of the Communications Society, vol. 2, pp. 2616–2627, 2021. DOI: 10.1109/OJCOMS.2021.3131552.

  37. S. Abdelfattah**, M. Baza**, M. Badr**, M. Mahmoud, G. Srivastava, F. Alsolami, and A. Ali, “Efficient search over encrypted medical data with known-plaintext/background models and unlinkability”, IEEE Access, vol. 9, pp. 151129–151141, 2021. DOI: 10.1109/ACCESS.2021.3126200.

  38. M. Nabil**, A. Sherif**, M. Mahmoud, W. Alasmary, and M. Alsabaan, “Privacy-preserving non-participatory surveillance system for COVID-19 ”, IEEE Access, vol. 9, pp. 79911–79926, 2021. DOI: 10.1109/ACCESS. 2021.3082910.

  39. F. Amsaad, A. Oun, M. Niamat, A. Razaque, S. Kose, M. Mahmoud, W. Alasmary, and F. Alsolami, “Enhancing the performance of lightweight configurable PUF for robust IoT hardware-assisted security”, IEEE Access, vol. 9, pp. 136792–136810, 2021. DOI: 10.1109/ACCESS.2021.3117240.

  40. M. Ibrahem**, M. Mahmoud, M. Fouda++, F. Alsolami, W. Alasmary, and X. Shen, “Privacy-preserving and efficient data collection scheme for AMI networks using deep learning”, IEEE Journal of Internet of Things, vol. 8, no. 23, pp. 17131–17146, 2021. DOI: 10.1109/JIOT.2021.3077897.

  41. M. Baza**, A. Sherif**, M. Mahmoud, S. Bakiras, W. Alasmary, M. Abdallah, and X. Lin, “Privacy-preserving blockchain-based energy trading schemes for electric vehicles”, IEEE Transactions on Vehicular Technology (TVT), vol. 70, no. 9, pp. 9369–9384, 2021. DOI: 10.1109/TVT.2021.3098188.

  42. M. Alsabaan, W. Alasmary, A. Alquniah, M. Mahmoud, and M. Nabil** , “A distributed surveillance system with full coverage guarantee using positive orthogonal codes”, IEEE Access, vol. 9, pp. 16837–16848, January 2021. DOI: 10.1109/ACCESS.2021.3052955.

  43. A. Takiddin, M. Ismail, M. Nabil**, M. Mahmoud, and E. Serpedin, “Detecting electricity theft cyberattacks in AMI networks using deep vector embeddings”, IEEE Systems Journal, vol. 15, no. 3, pp. 4189–4198, 2021. DOI: 10.1109/JSYST.2020.3030238.

  44. M. Baza**, N. Lasla, M. Mahmoud, G. Srivastava, and M. Abdallah, “B-Ride: Ride sharing with privacy preservation, trust and fair payment atop public blockchain”, IEEE Transactions on Network Science and Engineering, vol. 8, pp. 1214–1229, April-June 2021. DOI: 10.1109/TNSE.2019.2959230.

  45. M. Nabil**, A. Sherif**, M. Mahmoud, A. Alsharif**, and M. Abdullah, “Efficient and privacy-preserving ride sharing organization for transferable and non-transferable services”, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 18, no. 3, pp. 1291–1306, 2021. DOI: 10.1109/TDSC.2019.2920647.

  46. A. Shafee**, M. Fouda++, M. Mahmoud, A. Aljuhani, W. Alasmary, and F. Amsaad, “Detection of lying electrical vehicles in charging coordination application using deep learning”, IEEE Access, vol. 8, pp. 179400–179414, October 2020. DOI: 10.1109/ACCESS.2020.3028097.

  47. M. Ibrahem**, M. Nabil+, M. Fouda++, M. Mahmoud, W. Alasmary and F. Alsolami, “Efficient privacy-preserving electricity theft detection with dynamic billing and load monitoring for AMI networks”, IEEE Journal of Internet of Things, vol. 8, pp. 1243–1258, September 2020. DOI: 10.1109/JIOT.2020.3026692.

  48. M. Badr**, W. Al Amiri*, M. Fouda++, M. Mahmoud, A. Aljuhani and W. Alasmary, “Smart parking system with privacy preservation and reputation management using blockchain” IEEE Access, vol. 8, pp. 150823–150843, August 2020. DOI: 10.1109/ACCESS.2020.3016945.

  49. R. Wazirali, W. Alasmary, M. Mahmoud, and A. Alhindi, “An optimized steganography hiding capacity and imperceptibly using genetic algorithms”, IEEE Access, Special issue on Security, Privacy, and Trust Management in Smart Cities, vol. 7, pp. 133496–133508, September 2019. DOI: 10.1109/ACCESS.2019.2941440.

  50. M. Nabil**, M. Ismail, M. Mahmoud, W. Alasmary, and E. Serpedin, “PPETD: Privacy-preserving electricity theft detection scheme with load monitoring and billing for AMI networks”, IEEE Access, Special issue on Security, Privacy, and Trust Management in Smart Cities, vol. 7, pp. 96334–96348, Dec. 2019. DOI: 10.1109/ACCESS.2019.2925322.

  51. A. Alsharif**, M. Nabil**, A. Sherif**, M. Mahmoud, and M. Song, “MDMS: Efficient and privacy-preserving multidimension and multisubset data collection for AMI networks”, IEEE Internet of Things Journal (IoT), vol. 6, pp. 10363–10374, Dec. 2019. DOI: 10.1109/JIOT.2019.2938776.

  52. M. Mahmoud, K. Rabieh**, A. Sherif**, E. Oriero*, M. Ismail, E. Serpedin, and K. Qaraqe, “Privacy-preserving fine-grained data retrieval scheme for mobile social networks (MSNs)”, IEEE Transactions on Dependable and Secure Computing (TDSC), vol. 16, pp. 871–884, Sept./Oct. 2019. DOI:10.1109/TDSC.2017.2714162.

  53. M. Pazos-Revilla**, A. Alsharif**, S. Gunukula*, N. Guo, M. Mohamed, and X. Shen, “Privacy-preserving physical-layer-assisted charging authorization scheme for EV dynamic charging system”, IEEE Transactions on Vehicular Technology, vol. 67, pp. 3304–3318, April 2018.

  54. A. Alsharif**, M. Nabil**, M. Mahmoud, and M. Abdalla, “EPDA: Efficient and privacy-preserving data collection and access control scheme for multi-recipient AMI networks”, IEEE Access, vol. 7, pp. 27829–27845, Feb. 2019. DOI: DOI: 10.1109/ACCESS.2019.2900934.

  55. A. Alsharif**, M. Nabil**, S. Tonyali, H. Mohammed*, M. Mahmoud, K. Akkaya, “EPIC: Efficient privacy-preserving scheme with EtoE data integrity and authenticity for AMI networks”, IEEE Journal on Internet of Things (IoT), vol. 6, pp. 3309–3321, April 2019. DOI: 10.1109/JIOT.2018.2882566.

  56. M. Mahmoud, N. Saputro, P. Akula*, and K. Akkaya, “Privacy-preserving power injection over a hybrid AMI/LTE smart grid network”, IEEE Journal on Internet of Things (IoT), vol. 4, p. 870 – 880, August 2017.

  57. K. Rabieh**, M. Mahmoud, and M. Younis, “Privacy-preserving route reporting schemes for traffic management systems”, IEEE Transactions on Vehicular Technology (TVT), vol. 66, pp. 2703–2713, March 2017.

  58. A. Sherif**, K. Rabieh**, M. Mahmoud, and X. Liang, “Privacy-preserving ride sharing scheme for autonomous vehicles in big data era”, IEEE Journal on Internet of Things (IoT), vol. 4, pp. 611–618, April 2017.

  59. K. Rabieh**, M. Mahmoud, K. Akkaya, S. Tonyali, “Scalable certificate revocation schemes for smart grid AMI networks using Bloom filters”, IEEE Transactions on Dependence and Secure Computing (TDSC), vol. 14, no. 4, pp. 420–432, 2017.

  60. S. Tonyali, O. Cakmak, K. Akkaya, M. Mahmoud, and I. Guvenc, “Secure data obfuscation scheme to enable privacy-preserving state estimation in smart grid AMI networks”, IEEE Journal on Internet of Things (IoT), vol. 3, pp. 709–719, October 2016.

  61. K. Rabieh**, M. Mahmoud, M. Azzer, M. Allam, “A secure event reporting scheme for vehicular ad hoc networks”, Wiley Security and Communication Networks, vol. 8, pp. 3271–3281, November 2015.

  62. M. Mahmoud, J. Misic, K. Akkaya, X. Shen, “Investigating public-key certificate revocation in smart grid”, IEEE Journal on Internet of Things (IoT), vol. 2, pp. 490–503, December 2015.

  63. K. Akkaya, K. Rabieh**, M. Mahmoud, and S. Tonya, “Customized certificate revocation lists for IEEE 802.11s based smart grid AMI networks”, IEEE Transactions on Smart Grid (TSG), vol. 6, pp. 2366–2374, Sept. 2015.

  64. M. Mahmoud, X. Lin, and X. Shen, “Secure and reliable routing protocols for heterogeneous multihop wireless networks”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 26, pp. 1140,1153, April 2015.

  65. M. Mahmoud, S. Taha, J. Misic, and X. Shen, “Lightweight privacy-preserving and secure communication protocol for hybrid ad hoc wireless networks”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 25, pp. 2077– 2090, Aug. 2014.

  66. M. Mahmoud and X. Shen, “A secure payment scheme with low communication and processing overhead for multihop wireless networks”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 24, pp. 209–224, Feb. 2013.

  67. M. Mahmoud and X. Shen, “Cloud-based scheme for protecting source location privacy against hot spot locating attack in wireless sensor networks”, IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 23, pp. 1805–1818, October 2012.

  68. M. Mahmoud and X. Shen, “FESCIM: Fair, efficient, and secure cooperation incentive mechanism for hybrid ad hoc networks”, IEEE Transactions on Mobile Computing (TMC), vol. 11, p. 753–766, May 2012.

  69. M. Mahmoud and X. Shen, “An integrated stimulation and punishment mechanism for thwarting packet dropping attack in multi-hop wireless networks”, IEEE Transactions on Vehicular Technology (TVT), vol. 60, pp. 3947–3962, October 2011.

  70. M. Mahmoud and X. Shen, “ESIP: Secure incentive protocol with limited use of public-key cryptography for multi-hop wireless networks”, IEEE Transactions on Mobile Computing (TMC), vol. 10, pp. 997–1010, July 2011.

  71. M. Mahmoud and X. Shen, “PIS: A practical incentive system for multi-hop wireless networks”, IEEE Transactions on Vehicular Technology (TVT), vol. 59, no. 8, pp. 4012–4025, 2010.

  72. M. Mahmoud, M. Shaarawy, and, R. Elkamar, “Automatic linguistic information retrieval system for building Arabic-English parallel corpus at chunk level”, International Journal on Artificial Intelligence Applications, Ain Shams University, Cairo, Egypt, 2003.

  73. M. Mahmoud, M. Shaarawy, and R. Elkamar, “An example-based machine translation (EBMT) engines using Arabic-English parallel corpus at chunk level”, International Journal on Artificial Intelligence Applications, Ain Shams University, Cairo, Egypt, 2003.