SecSDN-Cloud: Defeating Vulnerable Attacks Through Secure Software-Defined Networks

Abdulqadder, Ihsan H.; Zou, Deqing; Aziz, Israa T.; Yuan, Bin

doi:10.1109/access.2018.2797214

Cited by 28 publications

(15 citation statements)

References 32 publications

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“…All user requests, even those from legitimate users, follow the same scheduling algorithm; this drops the original packets and increases the latency for processing user requests. Abdulqadder et al 19 presented a secure SDN cloud (SecSDN‐Cloud) that covers user authentication, routing, attack resistance, and third‐party monitoring. A novel digital signature with chaotic secure hashing is employed for user authentication.…”

Section: Related Workmentioning

confidence: 99%

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

Hongvanthong

2021

Int J Communication

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Summary Software‐defined networking is an emerging paradigm for supporting flexible network management. In the traditional architecture for a software‐defined network (SDN), the controller commonly uses a general routing algorithm such as Open Shortest Path First (OSPF), which chooses the shortest path for communication. This may cause the largest amount of network traffic, especially in large‐scale environments. In this paper, we present the design for a novel SDN‐based four‐tier architecture for scalable secure routing and load balancing. In Tier 1, user authentication is conducted using elliptic curve cryptography (ECC); this avoids unnecessary loads from unauthorized users. In Tier 2, packet classification is performed based on the packet characteristics using the fuzzy analytical hierarchy process (fuzzy AHP), and packets are placed into three individual queues. In Tier 3, scalable secure routing is achieved by selecting the optimal path using the improved particle swarm optimization and ant colony optimization algorithms. With these optimization algorithms, we can adaptively change the number of users, the number of switches, and other parameters. In Tier 4, the recommended secure cluster (multicontroller) management is accomplished using an algorithm that employs modified k‐means clustering and a recurrent neural network. Deep reinforcement learning (DRL) is also proposed for updating the controller information. Experimental results are analyzed using the OMNeT++ network simulator, and the evaluated performance displayed improvement over a variety of existing methods in terms of response time (50% to 60%), load (55%), execution time (3.2%), throughput (9.8%), packet loss rate (1.02%), end‐to‐end delay (50%), and bandwidth consumption (45%).

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Section: Related Workmentioning

confidence: 99%

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

Hongvanthong

2021

Int J Communication

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“…A large variety of meta-heuristic algorithms such as ACO [183][184][185][186][187][188][189][190][191], EAs [192][193][194], GAs [195][196][197][198][199][200][201][202][203], PSO [204][205][206][207][208][209], SA [210][211][212], bee colony optimisation-based [213,214], whale optimisation [215,216], FFO [217], BA [85], TLBO [87] and GWO [207] were used in SDN.…”

Section: Meta-heuristic Algorithms Used In Sdnmentioning

confidence: 99%

“…It is used for routing [204,205], resource management [206], multi-tenant virtual network customisation [218], multi-class routing [208] and detection of DDoS attacks [209].…”

Section: Pso In Sdnmentioning

confidence: 99%

“…Abdulqadder et al . [208] presented SecSDN‐cloud, an integrated, secure, SDN and cloud‐based architecture for providing enhanced QoS and more secure network. In SecSDN, the authors introduced an enhanced PSO multi‐class routing protocol, which takes three parameters into consideration namely: node congestion, link congestion and delay.…”

Section: Artificial Intelligence In Sdnmentioning

confidence: 99%

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Artificial intelligence enabled software‐defined networking: a comprehensive overview

2019

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Software-defined networking (SDN) represents a promising networking architecture that combines central management and network programmability. SDN separates the control plane from the data plane and moves the network management to a central point, called the controller that can be programmed and used as the brain of the network. Recently, the research community has shown an increased tendency to benefit from the recent advancements in the artificial intelligence (AI) field to provide learning abilities and better decision making in SDN. In this study, the authors provide a detailed overview of the recent efforts to include AI in SDN. The study showed that the research efforts focused on three main sub-fields of AI namely: machine learning, meta-heuristics and fuzzy inference systems. Accordingly, in this work, the authors investigate their different application areas and potential use, as well as the improvements achieved by including AI-based techniques in the SDN paradigm.

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“…Software-Defined Networking (SDN) is an evolving structure that is dynamic, manageable, cost-effective, and flexible, making it ideal for the high-bandwidth and dynamic infrastructure such as mobile communications systems. The major task of SDN architecture is to decouple the network data/control and progressing tasks that can enable the network control to become directly programmable and the core infrastructure to be inattentive for applications and network services [11].…”

Section: Introductionmentioning

confidence: 99%

Identity-Based Signature With Server-Aided Verification Scheme for 5G Mobile Systems

Ramadan

Liao

et al. 2020

IEEE Access

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Recently, security and privacy issues in mobile communication systems became an enormous challenge due to the limited resources of mobile networks regarding communication overhead, computational cost, and battery power. 5G systems provide high performance and flexibility that can connect billion of objects through Heterogeneous Wireless Networks (HWN) concerning the Internet of Things (IoT). However, some of these security challenges can be addressed by using outsourced assistants such as Server-Aided Verification (SAV) to contribute partially with the authentication process among 5G network entities. In this paper, we propose an efficient and secure identity-based signature scheme with Server-Aided Verification for 5G mobile systems (IBS-SAV). We provide a performance evaluation based on security proof of the proposed IBS-SAV scheme under existential unforgeable in the random oracle model as well as the security against collusion and adaptive chosen message attack (EUF-CMA). The performance evaluation and security analysis demonstrate that our IBS-SAV scheme is not only secure but also can reduce the communication and computation complexity for mobile systems efficiently. INDEX TERMS Public key cryptography (PKC), identity-based signature (IBS), server-aided verification (SAV), 5G mobile systems.

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SecSDN-Cloud: Defeating Vulnerable Attacks Through Secure Software-Defined Networks

Cited by 28 publications

References 32 publications

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

A novel four‐tier software‐defined network architecture for scalable secure routing and load balancing

Artificial intelligence enabled software‐defined networking: a comprehensive overview

Identity-Based Signature With Server-Aided Verification Scheme for 5G Mobile Systems

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