List of Publications

1. R. Abdelfattah, K. Abdelfatah, M. M. Fouda, Z. M. Fadlullah, M. Abouyoussef, and M. I. Ibrahem, "Bayesian Optimization-Aided Hybrid Deep Learning Model for Lightweight UAV-Based Smoke Detection," IEEE Internet of Things (IoT) Journal, 2025.

2. I. Batool, M. M. Fouda, M. Ismail, M. Ibrahem, Z. M. Fadlullah, and N. Kato, "Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework," IEEE Open Journal of the Communications Society (OJ-COMS), revision requested, 2025.

3. I. Batool, M. M. Fouda, and Z. M. Fadlullah, "AI-Native Predictive Scheduling for Computing Power Networks: A Multi-Scale Learning Framework for Ultra-Low Latency 6G Applications," IEEE Transactions on Network Science and Engineering, revision requested, 2025.

4. I. Batool, M. M. Fouda, M. Ismail, M. I. Ibrahem, K. Rabie, S. Verma, and Z. M. Fadlullah, "Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach," IEEE Internet of Things (IoT) Journal, 2025.

5. M. M. A. Gusaibat, M. Hnaish, A. Salem, K. Rabie, Z. M. Fadlullah, W. Khan, M. Alawad, and Y. Alkhrijah, "Effect of Phase Shift Errors on the Security of UAV-Assisted STAR-RIS IoT Networks," IEEE Internet of Things (IoT) Journal, revision requested, 2025.

6. H. AbdelRaouf, M. Abouyoussef, M. M. Fouda, Z. M. Fadlullah, M. Ibrahem, and R. Lu, "Privacy-Aware Blockchain Approach for Efficient and Secure Heart Attack Detection in E-Health," IEEE Transactions on Dependable and Secure Computing (TDSC), submitted, 2025.

7. Y. Mohamed, M. M. Fouda, Z. M. Fadlullah, R. Abdelfattah, and M. I. Ibrahem, "BOL-LPP: A Bayesian-Optimized LSTM Model for Day-Ahead Load Price Forecasting in the ERCOT Market," IEEE Open Journal of the Computer Society, 2025.

8. I. Batool, M. M. Fouda, M. Ismail, Z. M. Fadlullah, and N. Kato, "Privacy-Embedded Spectrum Coordination in 6G V2X Networks: An Attention-Driven Multi-Agent Learning Approach," IEEE Network Magazine, submitted, 2025.

9. A. Bakr, T. Atkison, M. M. Fouda, and Z. M. Fadlullah, "Benchmarking NVFlare Federated Algorithms in Decentralized Parking Space Detection and Classification Framework," IEEE Internet of Things Journal, revision requested, 2025.

10. I. Batool, M. M. Fouda, M. Ibrahim, and Z. M. Fadlullah, "Privacy-Preserving Federated Meta-Learning for Cell-Free Massive MIMO: Instant Adaptation with Distributed Intelligence," IEEE Internet of Thing Journal, submitted, 2025.

11. H. Khaled, Q. R. Hasnaine, M. M. Fouda, Z. M. Fadlullah, and M. Ibrahem, "A Survey on Paradigm Shifts from Centralized AI to Distributed Learning in Resource-Constrained IoT Systems: Opportunities and Challenges," IEEE Open Journal of the Communications Society (OJCOMS), submitted, 2025.

12. I. Batool, M. M. Fouda, and Z. M. Fadlullah, "H-MARC: Hierarchical Mobile Adaptive Relay Control for Ultra-Reliable mmWave Communications in 6G Networks," IEEE Internet of Thing Journal, submitted, 2025.

13. A. Aboulfotouh, Z. M. Fadlullah, M. M. Fouda, M. Ismail, and D. Niyato, "Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency," IEEE Internet of Things (IoT) Journal, vol. 12, no. 13, pp. 23139-23153, 2025.

14. I. Batool, M. M. Fouda, M. Ismail, K. Rabie, S. Verma, and Z. M. Fadlullah, "AMADRL: Privacy-Aware Attention-Based Multi-Agent Deep Reinforcement Learning for Optimizing Spectral Allocation in 6G Vehicular Networks," IEEE IoT Journal, revision requested, 2025.

15. I. Batool, M. M. Fouda, M. Ismail, and Z. M. Fadlullah, "QUINOA: Quantum-Unified Intelligent Network Orchestration and Automation for 6G Heterogeneous Networks," IEEE Open Journal of the Communications Society (OJ-COMS), submitted, 2025.

16. M. M. Fouda, Z. M. Fadlullah, M. I. Ibrahem, and N. Kato, "Privacy-preserving data-driven learning models for emerging communication networks: A comprehensive survey," IEEE Communications Surveys & Tutorials, 2024.

17. G. Gad, A. Farrag, A. Aboulfotouh, K. Bedda, Z. M. Fadlullah, and M. M. Fouda, "Joint self-organizing maps and knowledge-distillation-based communication-efficient federated learning for resource-constrained UAV-IoT systems," IEEE Internet of Things (IoT) Journal, vol. 11, no. 9, pp. 15504-15522, 2024.

18. E. Mahalal, E. Hasan, M. Ismail, Z. Wu, M. M. Fouda, Z. M. Fadlullah, and N. Kato, "Concept Drift Aware Wireless Key Generation In Dynamic LiFi Networks," IEEE Open Journal of the Communications Society, vol. 6, pp. 742-758, 2024.

19. A. Dev, M. M. Fouda, L. Kerby, and Z. M. Fadlullah, "Advancing malaria identification from microscopic blood smears using hybrid deep learning frameworks," IEEE Access, vol. 12, pp. 71705-71715, 2024.

20. G. Gad, E. Gad, Z. M. Fadlullah, M. M. Fouda, and N. Kato, "Communication-efficient and privacy-preserving federated learning via joint knowledge distillation and differential privacy in bandwidth-constrained networks," IEEE Transactions on Vehicular Technology, vol. 73, no. 11, pp. 17586-17601, 2024.

21. A. Farrag, G. Gad, Z. M. Fadlullah, M. M. Fouda, and M. Alsabaan, "An explainable AI system for medical image segmentation with preserved local resolution: Mammogram tumor segmentation," IEEE Access, vol. 11, pp. 125543-125561, 2023.

22. M. S. Abdalzaher, M. M. Fouda, A. Emran, Z. M. Fadlullah, and M. I. Ibrahem, "A Survey on Key Management and Authentication Approaches in Smart Metering Systems," Energies, vol. 16, no. 2355, pp. 1-27, 2023.

23. A. Farrag, Z. M. Fadlullah, M. M. Fouda, and N. S. Almalki, "Survival-Based Treatment Planning Using Stage-Specific Machine Learning Models," IEEE Access, vol. 11, pp. 134404-134420, 2023.

24. W. Zou, B. Mao, Z. M. Fadlullah, and K. Qi, "Assisting in Diagnosis of Temporomandibular Disorders: A Deep Learning Approach," IEEE Access, vol. 10, 2022.

25. B. Mughal, Z. M. Fadlullah, M. M. Fouda, and S. Ikki, "Optimizing Packet Forwarding Performance in Multiband Relay Networks via Customized Reinforcement Learning," IEEE Open Journal of the Communications Society (OJCOMS), vol. 3, 2022.

26. S. Hashima, K. Hatano, M. M. Fouda, Z. M. Fadlullah, and E. M. Mohamed, "Cost-Aware Bandits for Efficient Channel Selection in Hybrid Band Networks," MDPI Electronics, vol. 11, no. 11, 2022.

27. M. M. Fouda, S. Hashima, S. Sakib, Z. M. Fadlullah, K. Hatano, and X. Shen, "Optimal Channel Selection in Hybrid RF/VLC Networks: A Multi-Armed Bandit Approach," IEEE Transactions on Vehicular Technology, vol. 71, no. 6, 2022.

28. M. M. Fouda, S. Sakib, Z. M. Fadlullah, N. Nasser, and M. Guizani, "A Lightweight Hierarchical AI Model for UAV-Enabled Edge Computing with Forest-Fire Detection Use-Case," IEEE Network, vol. 36, no. 6, 2022.

29. S. Sakib, M. M. Fouda, M. Al-Mahdawi, A. Mohsen, M. Oogane, Y. Ando, and Z. M. Fadlullah, "Deep Learning Models for Magnetic Cardiography Edge Sensors Implementing Noise Processing and Diagnostics," IEEE Access, vol. 10, pp. 2656-2668, Jan. 2022.

30. N. Nasser, Z. M. Fadlullah, M. M. Fouda, A. Ali, and M. Imran, "A lightweight federated learning based privacy preserving B5G pandemic response network using unmanned aerial vehicles: A proof-of-concept," Elsevier Computer Networks, vol. 205, 2022.

31. S. Hashima, M. M. Fouda, S. Sakib, Z. M. Fadlullah, K. Hatano, E. M. Mohamed, and X. Shen, "Energy-Aware Hybrid RF-VLC Multiband Selection in D2D Communication: A Stochastic Multiarmed Bandit Approach," IEEE Internet of Things Journal, vol. 9, no. 18, 2022.

32. S. Hashima, Z. M. Fadlullah, M. M. Fouda, E. M. Mohamed, K. Hatano, B. M. ElHalawany, and M. Guizani, "On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities," IEEE Network, 2022.

33. G. Gad and Z. M. Fadlullah, "Federated Learning via Augmented Knowledge Distillation for Heterogenous Deep Human Activity Recognition Systems," MDPI Sensors, 2022.

34. G. Gad, E. Gad, K. Cengiz, Z. M. Fadlullah, and B. Mokhtar, "Deep Learning-Based Context-Aware Video Content Analysis on IoT Devices," MDPI Electronics, 2022.

35. Z. M. Fadlullah, B. Mao, and N. Kato, "Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning," IEEE Communications Surveys & Tutorials (COMST), vol. 24, no. 4, 2022.

36. S. Iyer, R. Khanai, D. Torse, R. J. Pandya, K. M. Rabie, K. Pai, W. U. Khan, and Z. M. Fadlullah, "A Survey on Semantic Communications for Intelligent Wireless Networks," Wireless Personal Communications, 2022.

37. S. Sakib, M. M. Fouda, Z. M. Fadlullah, N. Nasser, and W. Alasmary, "A Proof-of-Concept of Ultra-Edge Smart IoT Sensor: A Continuous and Lightweight Arrhythmia Monitoring Approach," IEEE Access, vol. 9, pp. 26093-26106, Feb. 2021.

38. T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "UV-CDS: An Energy-Efficient Scheduling of UAVs for Premises Sterilization," IEEE Transactions on Green Communications and Networking, vol. 5, no. 3, pp. 1191-1201, Sep. 2021.

39. Z. M. Fadlullah and N. Kato, "On Smart IoT Remote Sensing over Integrated Terrestrial-Aerial-Space Networks: An Asynchronous Federated Learning Approach," IEEE Network, vol. 35, no. 5, pp. 129-135, Sep./Oct. 2021.

40. T. Tazrin, Q. A. Rahman, M. M. Fouda, and Z. M. Fadlullah, "LiHEA: Migrating EEG Analytics to Ultra-Edge IoT Devices With Logic-in-Headbands," IEEE Access, vol. 9, pp. 138834-138848, 2021.

41. Z. M. Fadlullah and A. Benslimane, "Joint Provisioning of QoS and Security in IoD Networks: Classical Optimization Meets AI," IEEE Internet of Things Magazine, vol. 4, no. 4, Dec. 2021.

42. A. B. M. B. Alam, Z. M. Fadlullah, and S. Choudhury, "A Resource Allocation Model Based on Trust Evaluation in Multi-Cloud Environments," IEEE Access, vol. 9, pp. 105577-105587, 2021.

43. E. M. Mohamed, S. Hashima, K. Hatano, M. M. Fouda, and Z. M. Fadlullah, "Sleeping Contextual/Non-Contextual Thompson Sampling MAB for mmWave D2D Two-Hop Relay Probing," IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 12101-12112, Nov. 2021.

44. S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and M. Guizani, "DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach," IEEE Access, vol. 8, pp. 171575-171589, Sep. 2020.

45. S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "An Efficient and Lightweight Predictive Channel Assignment Scheme for Multiband B5G-Enabled Massive IoT: A Deep Learning Approach," IEEE Internet of Things Journal, vol. 8, no. 7, Oct. 2020.

46. B. Mughal, Z. M. Fadlullah, and S. Ikki, "Centralized Versus Heuristic-Based Distributed Channel Allocation to Minimize Packet Transmission Delay for Multiband Relay Networks," IEEE Networking Letters, vol. 2, no. 4, pp. 180-184, Dec. 2020.

47. S. Sakib, T. Tazrin, M. M. Fouda, Z. M. Fadlullah, and N. Nasser, "A Deep Learning Method for Predictive Channel Assignment in Beyond 5G Networks," IEEE Network Magazine, vol. 35, no. 1, pp. 266-272, Sep. 2020.

48. Z. M. Fadlullah and N. Kato, "HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks," IEEE Transactions on Emerging Topics in Computing (TETC), Apr. 2020.

49. Z. M. Fadlullah, B. Mao, F. Tang, and N. Kato, "Value Iteration Architecture based Deep Learning for Intelligent Routing Exploiting Heterogeneous Computing Platforms," IEEE Transactions on Computers, vol. 68, no. 6, pp. 939-950, June 2019.

50. Z. M. Fadlullah, Y. Kawamoto, H. Nishiyama, N. Kato, N. Egashira, K. Yano, and T. Kumagai, "Multi-hop Wireless Transmission in Multi-band WLAN Systems: Proposal and Future Perspective," IEEE Wireless Communications Magazine (WCM), vol. 26, no. 1, pp. 108-113, Feb. 2019.

51. N. Kato, Z. M. Fadlullah, F. Tang, B. Mao, S. Tani, A. Okamura, and J. Liu, "Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence," IEEE Wireless Communications Magazine (WCM), vol. 26, no. 4, pp. 140-147, Aug. 2019.

52. F. Tang, Z. M. Fadlullah, B. Mao, N. Kato, F. Ono, and R. Miura, "On A Novel Adaptive UAV-Mounted Cloudlet-Aided Recommendation System for LBSNs," IEEE Transactions on Emerging Topics in Computing, vol. 7, no. 4, pp. 565-577, Oct.-Dec. 2019.

53. F. Tang, B. Mao, Z. M. Fadlullah, J. Liu, and N. Kato, "ST-DeLTA: A Novel Spatial-Temporal Value Network Aided Deep Learning Based Intelligent Network Traffic Control System," IEEE Transactions on Sustainable Computing, Jul. 2019.

54. B. Mao, F. Tang, Z. M. Fadlullah, and N. Kato, "An Intelligent Route Computation Approach Based on Real-Time Deep Learning Strategy for Software Defined Communication Systems," IEEE Transactions on Emerging Topics in Computing (TETC), vol. 7, no. 4, pp. 565-577, Oct.-Dec. 2019.

55. B. Mao, F. Tang, Z. M. Fadlullah, and N. Kato, "An Absorbing Markov Chain Based Model to Solve Computation and Communication Tradeoff in GPU-Accelerated MDRUs for Safety Confirmation in Disaster Scenarios," IEEE Transactions on Computers, vol. 68, no. 9, pp. 1256-1268, Sept. 2019.

56. F. Tang, Z. M. Fadlullah, B. Mao, and N. Kato, "An Intelligent Traffic Load Prediction Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach," IEEE Internet of Things Journal, vol. 5, no. 6, pp. 5141-5154, Dec. 2018.

57. Z. M. Fadlullah, F. Tang, B. Mao, J. Liu, and N. Kato, "On Intelligent Traffic Control For Large-Scale Heterogeneous Networks: A Value Matrix-Based Deep Learning Approach," IEEE Communication Letters, vol. 22, no. 12, pp. 2479-2482, Dec. 2018.

58. Y. Zhou, Z. M. Fadlullah, B. Mao, and N. Kato, "A Deep Learning Based Radio Resource Assignment Technique For 5G Ultra Dense Networks," IEEE Network Magazine, vol. 32, no. 6, pp. 28-34, Nov. 2018.

59. H. Guo, J. Liu, Z. M. Fadlullah, and N. Kato, "On Minimizing Energy Consumption in FiWi Enhanced LTE-A HetNets," IEEE Transactions on Emerging Topics in Computing, vol. 6, no. 4, pp. 579-591, Oct. 2018.

60. J. Liu, Y. Shi, Z. M. Fadlullah, and N. Kato, "Space-Air-Ground Integrated Network: A Survey," IEEE Communications Surveys & Tutorials, vol. 20, no. 4, pp. 2714-2741, Oct. 2018.

61. F. Tang, B. Mao, Z. M. Fadlullah, and N. Kato, "On a Novel Deep Learning Based Intelligent Partially Overlapping Channel Assignment in SDN-IoT," IEEE Communication Magazine, vol. 56, no. 9, pp. 80-86, Sept. 2018.

62. B. Mao, F. Tang, Z. M. Fadlullah, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "A Novel Non-supervised Deep Learning Based Network Traffic Control Method for Software Defined Wireless Networks," IEEE Wireless Communications Magazine, vol. 25, no. 4, pp. 74-81, Aug. 2018.

63. Y. Shi, J. Liu, Z. M. Fadlullah, and N. Kato, "Cross-layer Data Delivery in Satellite-Aerial-Terrestrial Communication," IEEE Wireless Communications Magazine, vol. 25, no. 3, pp. 138-143, June 2018.

64. Y. Qiao, Z. Xing, Z. M. Fadlullah, J. Yang, and N. Kato, "Characterizing Flow, Application, and User Behavior in Mobile Networks – A Framework for Mobile Big Data," IEEE Wireless Communications Magazine (WCM), Special Issue - Wireless Big Data, vol. 25, no. 1, pp. 40-49, Feb. 2018.

65. F. Tang, Z. M. Fadlullah, N. Kato, F. Ono, and R. Miura, "AC-POCA: AntiCoordination Game based Partially Overlapping Channels Assignment in Combined UAV and D2D based Networks," IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1672-1683, Feb. 2018.

66. F. Tang, B. Mao, Z. M. Fadlullah, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control," IEEE Wireless Communications Magazine (WCM), vol. 25, no. 1, pp. 154-160, Feb. 2018.

67. B. Mao, Z. M. Fadlullah, F. Tang, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning," IEEE Transactions on Computers, vol. 66, no. 11, pp. 1946-1960, Nov. 2017.

68. Z. M. Fadlullah, F. Tang, B. Mao, N. Kato, O. Akashi, T. Inoue, and K. Mizutani, "State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow's Intelligent Network Traffic Control Systems," IEEE Communications Surveys and Tutorials, vol. 19, no. 4, pp. 2432-2455, May 2017.

69. S. Verma, Y. Kawamoto, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues," IEEE Communications Surveys and Tutorials, vol. 19, no. 3, pp. 1457-1477, Apr. 2017.

70. Z. M. Fadlullah, C. Wei, Z. Shi, and N. Kato, "GT-QoSec: A Game-Theoretic Joint Optimization of QoS and Security for Differentiated Services in Next Generation Heterogeneous Networks," IEEE Transactions on Wireless Communications (TWC), vol. 16, no. 2, pp. 1037-1050, Feb. 2017.

71. N. Kato, Z. M. Fadlullah, B. Mao, F. Tang, O. Akashi, T. Inoue, and K. Mizutani, "The Deep Learning Vision for Heterogeneous Network Traffic Control – Proposal, Challenges, and Future Perspective," IEEE Wireless Communications (WCM), vol. 24, no. 3, pp. 146-153, Dec. 2016.

72. J. Liu, H. Guo, Z. M. Fadlullah, and N. Kato, "Energy Consumption Minimization for FiWi Enhanced LTE-A HetNets with UE Connection Constraint," IEEE Communications Magazine, Special Issue on 5G RAN, vol. 54, no. 11, pp. 56-62, Nov. 2016.

73. Z. M. Fadlullah, W. Chao, Z. Shi, and N. Kato, "Joint Optimization of QoS and Security for Differentiated Applications in Heterogeneous Networks," IEEE Wireless Communications Magazine, vol. 23, no. 3, pp. 74-81, Jan. 2016.

74. T. Sakano, S. Kotabe, T. Komukai, T. Kumagai, Y. Shimizu, A. Takahara, T. Ngo, Z. M. Fadlullah, H. Nishiyama, and N. Kato, "Bringing Movable and Deployable Networks to Disaster Areas: Development and Field Test of MDRU," IEEE Network Magazine, vol. 30, no. 1, pp. 86-91, Jan. 2016.

75. Z. M. Fadlullah, D. Takaishi, H. Nishiyama, N. Kato, and R. Miura, "A Dynamic Trajectory Control Algorithm for Improving the Communication Throughput and Delay in UAV-aided Networks," IEEE Network, vol. 30, no. 1, pp. 100-105, Jan. 2016.

76. K. Miyanabe, K. Suto, Z. M. Fadlullah, H. Nishiyama, N. Kato, H. Ujikawa, and K. Suzuki, "A cloud radio access network with power over fiber toward 5G networks: QoE-guaranteed design and operation," IEEE Wireless Communications, vol. 22, no. 4, pp. 58-64, Aug. 2015.

77. Z. M. Fadlullah, T. Nakajo, H. Nishiyama, Y. Owada, K. Hamaguchi, and N. Kato, "Field Measurement of an Implemented Solar Powered BS-based Wireless Mesh Network," IEEE Wireless Communications Magazine, vol. 22, no. 3, pp. 137-143, July 2015.

78. W. Zhao, H. Nishiyama, Z. M. Fadlullah, N. Kato, and K. Hamaguchi, "DAPA: Capacity Optimization in Wireless Networks through a Combined Design of Density of Access Points and Partially Overlapped Channel Allocation," IEEE Transactions on Vehicular Technology, vol. 65, no. 5, May 2015.

79. A. E. A. A. Abdulla, Z. M. Fadlullah, H. Nishiyama, N. Kato, F. Ono, and R. Miura, "Toward Fair Maximization of Energy Efficiency in Multiple UAS-aided Networks: A Game-Theoretic Methodology," IEEE Transactions on Wireless Communications, vol. 14, no. 1, pp. 305-316, Jan. 2015.

80. C. Wei, Z. M. Fadlullah, N. Kato and A. Takeuchi, "GT-CFS: A Game Theoretic Coalition Formulation Strategy for Reducing Power Loss in Micro Grids," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 9, pp. 2307-2317, Sept. 2014.

81. S. Arai, Z. M. Fadlullah, T. Ngo, H. Nishiyama, and N. Kato, "An Efficient Method for Minimizing Energy Consumption of User Equipment in Storage-Embedded Heterogeneous Networks," IEEE Wireless Communications, vol. 21, no. 4, pp. 70-76, Aug. 2014.

82. C. Wei, Z. M. Fadlullah, N. Kato, and I. Stojmenovic, "On Optimally Reducing Power Loss in Micro-Grids with Power Storage Devices," IEEE Journal on Selected Areas in Communications (JSAC), vol. 32, no. 7, pp. 1361-1370, Jul. 2014.

83. Y. Kawamoto, Z. M. Fadlullah, H. Nishiyama, N. Kato, and M. Toyoshima, "Prospects and Challenges of Context-aware Multimedia Content Delivery in Cooperative Satellite and Terrestrial Networks," IEEE Communications Magazine, vol. 52, no. 6, pp. 55-61, Jun. 2014.

84. Z. M. Fadlullah, D. M. Quan, N. Kato, and I. Stojmenovic, "GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid," IEEE Systems Journal, vol. 8, no. 2, pp. 588-597, June 2014.

85. H. Nishiyama, D. Fomo, Z. M. Fadlullah, and N. Kato, "Traffic Pattern Based Content Leakage Detection for Trusted Content Delivery Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 2, pp. 301-309, Feb. 2014.

86. Z. M. Fadlullah, H. Nishiyama, Y. Kawamoto, H. Ujikawa, K. Suzuki, and N. Yoshimoto, "Cooperative QoS Control Scheme based on Scheduling Information in FiWi Access Network," IEEE Transactions on Emerging Topics in Computing (TETC), vol. 1, no. 2, pp. 375-383, Dec. 2013.

87. Y. Kawamoto, H. Nishiyama, Z. M. Fadlullah, and N. Kato, "Effective Data Collection via Satellite-Routed Sensor System (SRSS) to Realize Global-Scaled Internet of Things," IEEE Sensors Journal, vol. 13, no. 10, pp. 3645-3654, Oct. 2013.

88. T. Sakano, Z. M. Fadlullah, T. Ngo, H. Nishiyama, M. Nakazawa, F. Adachi, N. Kato, A. Takahara, T. Kumagai, H. Kasahara, and S. Kurihara, "Disaster-Resilient Networking: A New Vision Based on Movable and Deployable Resource Units," IEEE Network Magazine, vol. 27, no. 4, pp. 40-46, Aug. 2013.

89. Z. M. Fadlullah, H. Nishiyama, N. Kato, and M. M. Fouda, "Intrusion Detection System (IDS) for Combating Attacks Against Cognitive Radio Networks," IEEE Network Magazine, vol. 27, no. 3, pp. 51-56, June 2013.

90. Z. M. Fadlullah, H. Nishiyama, N. Kato, H. Ujikawa, K. Suzuki, and N. Yoshimoto, "Smart FiWi Networks: Challenges and Solutions for QoS and Green Communications," IEEE Intelligent Systems, vol. 28, no. 2, pp. 86-91, Apr. 2013.

91. M. M. Fouda, Z. M. Fadlullah, M. Guizani, and N. Kato, "A Novel P2P VoD Streaming Technique Integrating Localization and Congestion Awareness Strategies," Springer Mobile Networks and Applications (MONET), vol. 17, no. 5, pp. 594-603, Oct. 2012.

92. Z. M. Fadlullah, N. Kato, R. Lu, X. Shen, and Y. Nozaki, "Toward Secure Targeted Broadcast in Smart Grid," IEEE Communications Magazine, vol. 50, no. 5, pp. 150-156, May 2012.

93. P. B. F. Duarte, Z. M. Fadlullah, A. V. Vasilakos, and N. Kato, "On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic Approach," IEEE Journal on Selected Areas in Communications, vol. 30, no. 1, pp. 119-127, Jan. 2012.

94. M. M. Fouda, Z. M. Fadlullah, N. Kato, R. Lu, and X. Shen, "A Lightweight Message Authentication Scheme for Smart Grid Communications," IEEE Transactions on Smart Grid, vol. 2, no. 4, pp. 675-685, Dec. 2011.

95. Q. Chen, Z. M. Fadlullah, X. Lin, and N. Kato, "A Clique-based Secure Admission Control Scheme for Mobile Ad hoc Networks (MANETs)," Journal of Network and Computer Applications, vol. 34, no. 6, pp. 1827-1835, Nov. 2011.

96. H. Nakayama, Z. M. Fadlullah, N. Ansari, and N. Kato, "A Novel Scheme for WSAN Sink Mobility based on Clustering and Set Packing Techniques," IEEE Transactions on Automatic Control, vol. 56, no. 10, pp. 2381-2389, Oct. 2011.

97. Z. M. Fadlullah, M. M. Fouda, X. Shen, Y. Nozaki, and N. Kato, "An Early Warning System Against Malicious Activities for Smart Grid Communications," IEEE Network Magazine, vol. 25, no. 5, pp. 50-55, Oct. 2011.

98. Z. M. Fadlullah, M. M. Fouda, N. Kato, A. Takeuchi, N. Iwasaki, and Y. Nozaki, "Toward Intelligent Machine-to-Machine Communications in Smart Grid," IEEE Communications Magazine, vol. 49, no. 4, pp. 60-65, Apr. 2011.

99. H. Nishiyama, Z. M. Fadlullah, and N. Kato, "Inter-Layer Fairness Problem in TCP Bandwidth Sharing in 10G-EPON," IEEE Systems Journal, vol. 4, no. 4, pp. 432-439, Dec. 2010.

100. Z. M. Fadlullah, T. Taleb, A. Vasilakos, M. Guizani, and N. Kato, "DTRAB: Combating Against Attacks on Encrypted Protocols Through Traffic-Feature Analysis," IEEE/ACM Transactions on Networking, vol. 18, no. 4, pp. 1234-1247, Aug. 2010.