A Blockchain‐based Cyber Attack Detection Scheme for Decentralized Internet of Things using Software‐Defined Network

Abstract

Due to using less secured and movable devices in Internet of Things (IoT) platform, cyber‐attacks have been a major issue nowadays. Different researches have been conducted to detect the probable security attacks, but faced constraints like storage, computation cost, system failure and high latency. Existing systems require continuous monitoring, controlling, and collecting the data in entire network for delivering services with the maximum security and defense mechanism against cyber‐attacks. In this context, a decentralized mechanism of security has been presented in this article using a software‐defined network (SDN) integrated with blockchain for IoT in mobile edge and fog computing. The SDN continuously monitors and analyzes the system traffic for providing an attack identification model. The blockchain has been used to overcome the failure issues addressed in the existing models by delivering decentralized attack identification scheme which detects attacks in fog and reduces it in the edge node.

A Promising Integration of SDN and Blockchain for IoT Networks: A Survey

“…Immutability [27]- [38], [38]-[53] Traceability [29], [31]- [33], [36], [38], [38], [43], [46], [48], [49], [54], [55] Transparency [29], [31]- [33], [35]- [39], [52], [53], [55]-[58] Decentralization [27], [29]- [31], [34], [36], [38]- [49], [52]- [54],…”

“…Several works employ deep learning approaches to train the network to discern between valid and attack data. [27] proposes a distributed attack detection system using an Ethereum BC for IoT networks. The method focuses on dynamic traffic flow control and addresses TCP and ICMP flooding and DDoS attacks.…”

S-HIDRA: A blockchain and SDN domain-based architecture to orchestrate fog computing environments

“…Several SDN controllers deployed in the cloud and in the fog are connected through a private blockchain in [38] in order to detect cyber attacks applying deep learning techniques. More precisely, the blockchain is harnessed to enhance failure tolerance among cooperating SDN controllers and provide a decentralized attack identification scheme.…”

Blockchain Assisted Optimal Machine Learning Based Cyberattack Detection and Classification Scheme

“…Data analysis methods were used extensively in the cyber security field, and the current diffusion of advanced machine learning (ML) methods has permitted to precisely detect cyber-attacks and identify threats [1], both in post-incident analysis and real-time. Both unsupervised and supervised ML techniques were successfully used for supporting prevention systems and intrusion detection (ID), along with identifying security breaches and system misuses [2,3].…”