احمد دبيان سعد الجهني
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الخبرات والمناصب الإدارية
- Chairman of Computer Engineering Department
المؤهلات العلمية
- Master Degree in Computer Science, University of Colorado at Denver, USA
- Doctor of Philosophy in Computer Science – Information Security, Catholic University of America, Washington DC USA
الاهتمامات البحثية
Information Security, Network Security and Privacy, Secure System Design, Internet of Things, AI for Cybersecurity
| اليوم | المادة | الوقت |
|---|---|---|
| الأحد | CEN 0491 | 19:00 - 22:00 |
| الإثنين | CEN 0492 | 09:00 - 12:00 |
- Alharbi, Talal, Ahamed Aljuhani, and Bradley Taylor “A Collaborative SYN Flooding Detection Approach using NFV, International Journal of Computer Engineering and Information Technology (2019)
- Alharbi, Talal, Ahamed Aljuhani, and Bradley Taylor “A Collaborative SYN Flooding Detection Approach using NFV, International Journal of Computer Engineering and Information Technology (2019)
- Alharbi, Talal, Ahamed Aljuhani, and Hang Liu “SYN Flooding Detection and Mitigation using NFV, International Journal of Computer Engineering and Information Technology 101 (2018): 11- 19
- Alharbi, Talal, et al “Smart and lightweight ddos detection using NFV, Proceedings of the International Conference on Compute and Data Analysis ACM, 2017
- Alharbi, Talal, Ahamed Aljuhani, and Hang Liu “Holistic ddos mitigation using nfv, 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC) IEEE, 2017
- Aljuhani, Ahamed, Talal Alharbi, and Hang Liu “Xfirewall: A dynamic and additional mitigation against ddos Storm, Proceedings of the International Conference on Compute and Data Analysis ACM, 2017
- Aljuhani, Ahamed, and Talal Alharbi “Virtualized network functions security attacks and vulnerabilities 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC) IEEE, 2017
- Aljuhani, Ahamed, Talal Alharbi, and Bradley Taylor “Mitigation of Application Layer DDoS Flood Attack Against Web Servers (2019)
- M Saed and A Aljuhani, “Detection of Man in The Middle Attack using Machine learning, 2022 2nd International Conference on Computing and Information Technology (ICCIT), 2022, pp 388-393, doi: 101109/ICCIT5241920229711555
- Al-gethami and A Aljuhani, “Detection of HTTP Attacks using Machine Learning, 2022 2nd International Conference on Computing and Information Technology (ICCIT), 2022, pp 344-348, doi: 101109/ICCIT5241920229711638
- S Joshi, S Manimurugan, A Aljuhani, U Albalawi and A Aljaedi, “Energy-efficient and secure wireless communication for telemedicine in IoT, Computer Systems Science and Engineering, vol 43, no3, pp 1111–1130, 2022
- T Alatawi and A Aljuhani, “Anomaly Detection Framework in Fog-to-Things Communication for Industrial Internet of Things, Computers, Materials & Continua, 2022
- S Bacha, A Aljuhani, K Ben Abdellafou, O Taouali, M Alazab, “Anomaly-Based Intrusion Detection System in IoT Using Kernel Extreme Learning Machine, Journal of Ambient Intelligence and Humanized Computing, 2022
- M Alanazi and A Aljuhani, “Anomaly detection for Internet of Things cyberattacks, Computers, Materials & Continua, vol 72, no1, pp 261–279, 2022
- A Aljuhani, “Machine learning approaches for combating distributed denial of service attacks in modern networking environments, IEEE Access, vol no 9, pp 42236-42264, 2021
- R Alanazi and A Aljuhani, "Anomaly detection for industrial internet of things cyberattacks," Computer Systems Science and Engineering, vol 44, no3, pp 2361–2378, 2023
- Aljuhani, Ahamed, et al "Fog intelligence for secure smart villages: Architecture, and future challenges" IEEE Consumer Electronics Magazine (2022)
- Kumar, Randhir, et al "Deep learning and smart contract-assisted secure data sharing for IoT-based intelligent agriculture" IEEE Intelligent Systems (2022)
- Alazab, Mamoun, et al "Digital twins for healthcare 40-recent advances, architecture, and open challenges" IEEE Consumer Electronics Magazine (2022)
- Kumar, Randhir, et al "Deep Learning-based Blockchain for Secure Zero Touch Networks" IEEE Communications Magazine (2022)
- Kumar, R, Aljuhani, A, Kumar, P, Kumar, A, Franklin, A, & Jolfaei, A (2022, October) Blockchain-enabled secure communication for unmanned aerial vehicle (UAV) networks In Proceedings of the 5th International ACM Mobicom Workshop on Drone Assisted Wireless Communications for 5G and Beyond (pp 37-42)
- Aljuhani, Ahamed "IDS-Chain: A Collaborative Intrusion Detection Framework Empowered Blockchain for Internet of Medical Things" 2022 IEEE Cloud Summit IEEE, 2022
- Kumar, R, Aljuhani, A, Javeed, D, Kumar, P, Islam, S, & Islam, A N (2024) Digital twins-enabled zero touch network: A smart contract and explainable AI integrated cybersecurity framework Future Generation Computer Systems, 156, 191-205
- Bacha, S, Aljuhani, A, Abdellafou, K B, Taouali, O, Liouane, N, & Alazab, M (2024) Anomaly-based intrusion detection system in IoT using kernel extreme learning machine Journal of Ambient Intelligence and Humanized Computing, 15(1), 231-242
- Zidi, K, Abdellafou, K B, Aljuhani, A, Taouali, O, & Harkat, M F (2024) Novel intrusion detection system based on a downsized kernel method for cybersecurity in smart agriculture Engineering Applications of Artificial Intelligence, 133, 108579
- Al-Hawawreh, M, Aljuhani, A, & Jararweh, Y (2023) Chatgpt for cybersecurity: practical applications, challenges, and future directions Cluster Computing, 26(6), 3421-3436
- Kumar, P, Kumar, R, Aljuhani, A, Javeed, D, Jolfaei, A, & Islam, A N (2023) Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity Solar Energy, 263, 111921
- Aljuhani, A, Kumar, P, Alanazi, R, Albalawi, T, Taouali, O, Islam, A N, & Alazab, M (2023) A deep learning integrated blockchain framework for securing industrial IoT IEEE Internet of Things Journal
- Soliman, S, Oudah, W, & Aljuhani, A (2023) Deep learning-based intrusion detection approach for securing industrial Internet of Things Alexandria Engineering Journal, 81, 371-383
- Kumar, R, Kumar, P, Aljuhani, A, Jolfaei, A, Islam, A N, & Mohammad, N (2023) Secure Data Dissemination Scheme for Digital Twin Empowered Vehicular Networks in Open RAN IEEE Transactions on Vehicular Technology
| اسم المشروع | وصف المشروع |
|---|---|
| Project number S-1443-018, funding agency: University of Tabuk, project title: Designing a Security Framework for the Industrial Internet of Things | Project number S-1443-0111, funding agency: University of Tabuk, project title: Anomaly-Based Intrusion Detection System in Internet of Medical Things |
| Project number S-0226-1443, funding agency: University of Tabuk, project title: Data Driven Technique-Based Intrusion Detection for Smart agriculture | Development project for different technical domains in Emirate of Tabuk Province |
| Cybersecurity issues and solutions for industrial IoT |
- Award of Excellence certificate was given by Prince Fahad Bin Sultan, for outstanding graduation students in Tabuk region
- Class Honors Graduation, University of Fahad Bin Sultan, KSA
- Award of Excellence in Research form the president of Tabuk University
