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Deception and cloud integration: A multi-layered approach for DDoS detection, mitigation, and attack surface minimization in SD-IoT networks
Faculty
Computer Science
Year:
2025
Type of Publication:
ZU Hosted
Pages:
Authors:
Amir El Sayed Godaa Hassan
Staff Zu Site
Abstract In Staff Site
Journal:
Computers and Electrical Engineering Elsevier
Volume:
Keywords :
Deception , cloud integration: , multi-layered approach , DDoS
Abstract:
Detecting Distributed Denial of Service (DDoS) attacks in Software-Defined Internet of Things (SD-IoT) networks is challenging due to vulnerabilities in single-controller architectures, the limitations of the OpenFlow protocol, evolving DDoS strategies, and resource constraints. This research proposes a multi-layered security framework that integrates deception-based security, cloud-integrated machine learning (ML), a new hierarchically distributed multi-controller (HDMC) architecture, P4-enabled real-time traffic monitoring, and adaptive mitigation. The framework includes dynamic time-based windowing for enhanced detection, a decoy network to divert attackers, and a cloud-based multi-task ML model (MT-EDD) for attack classification. It also features a synchronized multi-control design for secure communication and coordinated actions among multiple controllers and a dynamic monitoring algorithm for real-time …
Author Related Publications
Amir El Sayed Godaa Hassan, "FOUR-PHASE PROTOCOL FOR DETECTION, DELETION, PROTECTION AND RECOVERY FROM AUTORUN VIRUS", Journal of Theoretical and Applied Information Technology, 2018
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Amir El Sayed Godaa Hassan, "FOUR-PHASE PROTOCOL FOR DETECTION, DELETION, PROTECTION AND RECOVERY FROM AUTORUN VIRUS", Journal of Theoretical and Applied Information Technology, 2018
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Amir El Sayed Godaa Hassan, "P4-HLDMC: A Novel Framework for DDoS and ARP Attack Detection and Mitigation in SD-IoT Networks Using Machine Learning, Stateful P4, and Distributed Multi-Controller Architecture", MDPI, 2023
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Amir El Sayed Godaa Hassan, "FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks", IEEE, 2023
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Amir El Sayed Godaa Hassan, "LBTMA: An integrated P4-enabled framework for optimized traffic management in SD-IoT networks", ELSEVIER, 2024
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Department Related Publications
Ahmed Salah Mohamed Mostafa, "Cluster-Distribute-Align-Merge: A General Algorithm to Speed Up Multiple Sequence Alignment on Multi-Core Computers", Journal of Computational and Theoretical Nanoscience, 2014
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Zaher Awad Aboelenieen Elhendy, "NEW APPROACH TO IMAGE EDGE DETECTION BASED ON QUANTUM ENTROPY", JOURNAL OF RUSSIAN LASER RESEARCH, 2016
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Sarah AbdelRazek Ahmed AbdulHameid, "Cloud Storage Forensics: Survey", International Journal of Engineering Trends and Technology (IJETT), 2017
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Doaa El-Shahat Barakat Mohammed, "A modified hybrid whale optimization algorithm for the scheduling problem in multimedia data objects", Wiley online library, 2019
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Abdallah Gamal abdallah mahmoud, "A novel model for evaluation Hospital medical care systems based on plithogenic sets", Elsevier B.V., 2019
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