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Lightweight Direct Acyclic Graph Blockchain for Enhancing Resource-Constrained IoT Environment

Computers, Materials & Continua 2022年第6期71卷 5271-5291页

作者： Salaheddine Kably Mounir Arioua nabih alaoui Laboratory of Information and Communication Technologies National School of Applied Abdelmalek Saadi UniversityTangerMorocco Ecole Supe′rieure d’informatique et du Nume′rique TICLab Universite′Internationale de Rabat SalaEl JadidaMorocco

Blockchain technology is regarded as the emergent security solution for many applications related to the Internet of Things(IoT).In concept,blockchain has a linear structure that grows with the number of transactions *** growth in size is the main obstacle to the blockchain,which makes it unsuitable for resource-constrained IoT ***,conventional consensus algorithms such as PoW,PoS are very computationally *** paper solves these problems by introducing a new lightweight blockchain structure and lightweight consensus *** Multi-Zone Direct Acyclic Graph(DAG)Blockchain(Multizone-DAG-Blockchain)framework is proposed for the fog-based IoT *** this context,fog computing technology is integrated with the IoT to offload IoT tasks to the fog nodes,thus preserving the energy consumption of the IoT *** IoT and fog nodes are initially authenticated using a non-cloneable physical function-based validationmechanism(DPUF-VM)inwhichmultiple authentication certificates are verified in the *** transaction is stored in a hash function in the blockchain using the lightweight CubeHash algorithm and signed by the Four-Q-Curve *** the cloud,sensitive data is stored as *** nodes provide data security to avoid the energy consumption and complexity of IoT *** fog node first performs a redundancy analysis using the Jaccard Similarity(JS)measure and sensitivity analysis using the Neutrosophic Neural Intelligent Network(N2IN)algorithm.A lightweight proof-of-authentication(PoAh)algorithm is presented and executed by the optimal consensus node selected by the bi-objective spiral optimization(BoSo)algorithm for transaction *** proposed work is modeled in Network Simulator 3.26(ns-3.26),and the performance is evaluated in terms of energy consumption,storage cost,response time,and throughput.

关键词： Multi zone DAG blockchain dynamic PUF lightweight PoAh consensus BoSo node selection four-q-curve encryption IoT environment

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Multi-Zone-Wise Blockchain Based Intrusion Detection and Prevention System for IoT Environment

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Computers, Materials & Continua 2023年第1期74卷 253-278页

作者： Salaheddine Kably Tajeddine Benbarrad nabih alaoui Mounir Arioua Laboratory of Information and Communication Technologies National School of Applied AbdelmalekSaadi UniversityTangerMorocco Ecole Supérieure D’Informatique et du Numérique TICLabUniversitéInternationale de RabatSala El JadidaMorocco

Blockchain merges technology with the Internet of Things(IoT)for addressing security and privacy-related ***,conventional blockchain suffers from scalability issues due to its linear structure,which increases the storage overhead,and Intrusion detection performed was limited with attack severity,leading to performance *** overcome these issues,we proposed MZWB(Multi-Zone-Wise Blockchain)***,all the authenticated IoT nodes in the network ensure their legitimacy by using the Enhanced Blowfish Algorithm(EBA),considering several ***,the legitimately considered nodes for network construction for managing the network using Bayesian-Direct Acyclic Graph(B-DAG),which considers several *** intrusion detection is performed based on two *** the first tier,a Deep Convolution Neural Network(DCNN)analyzes the data packets by extracting packet flow features to classify the packets as normal,malicious,and *** the second tier,the suspicious packets are classified as normal or malicious using the Generative Adversarial Network(GAN).Finally,intrusion scenario performed reconstruction to reduce the severity of attacks in which Improved Monkey Optimization(IMO)is used for attack path discovery by considering several metrics,and the Graph cut utilized algorithm for attack scenario reconstruction(ASR).UNSW-NB15 and BoT-IoT utilized datasets for the MZWB method simulated using a Network simulator(NS-3.26).Compared with previous performance metrics such as energy consumption,storage overhead accuracy,response time,attack detection rate,precision,recall,and *** simulation result shows that the proposed MZWB method achieves high performance than existing works.

关键词： IoT multi-zone-wise blockchain intrusion detection and prevention system edge computing network graph construction IDS intrusion scenario reconstruction

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