Trusit centric approach based on similarity in VANET

Kothari, Akshay; Shukla, Piyush Kumar; Pandey, Rajeev

doi:10.1109/scopes.2016.7955781

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…The last stage involves training and evaluating the selected features over a dual weight updation-based optimal deep belief network (DWU-ODBN) classification system to detect and classify attacks [28]. Semisupervised classification algorithms, in contrast to supervised classification techniques, are capable of coping with adversarial attacks as well as uncertain attacks, which makes them more robust.…”

Section: Classificationmentioning

confidence: 99%

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

Sathya¹,

Jeyaselvi

Krishnasamy³

et al. 2021

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) is enhancing our lives in a variety of structures, which consists of smarter cities, agribusiness, and e-healthcare, among others. Even though the Internet of Things has many features with the consumer Internet of Things, the open nature of smart devices and their worldwide connection make IoT networks vulnerable to a variety of assaults. Several approaches focused on attack detection in Internet of Things devices, which has the longest calculation times and the lowest accuracy issues. It is proposed in this paper that an attack detection framework for Internet of Things devices, based on the DWU-ODBN method, be developed to alleviate the existing problems. At the end of the process, the proposed method is used to identify the source of the assault. It comprises steps such as preprocessing, feature extraction, feature selection, and classification to identify the source of the attack. A random oversampler is used to preprocess the input data by dealing with NaN values, categorical features, missing values, and unbalanced datasets before being used to deal with the imbalanced dataset. When the data has been preprocessed, it is then sent to the MAD Median-KS test method, which is used to extract features from the dataset. To categorize the data into attack and nonattack categories, the features are classified using the dual weight updation-based optimal deep belief network (DWU-ODBN) classification technique, which is explained in more detail below. According to the results of the experimental assessment, the proposed approach outperforms existing methods in terms of detecting intrusions and assaults. The proposed work achieves 77 seconds to achieve the attack detection with an accuracy rate of 98.1%.

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Section: Classificationmentioning

confidence: 99%

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

Sathya¹,

Jeyaselvi

Krishnasamy³

et al. 2021

Wireless Communications and Mobile Computing

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“…• Some approaches assess the reliability of the vehicles through a reputation system that relies on a centralized entity, which collects the opinions of neighboring nodes [44][45][46][47]. In scenarios of high mobility, these approaches struggle to collect sufficient information to calculate the reputation scores for each node; furthermore, the centralized entity represents a single point of failure.…”

Section: Reliability and Traceability Of Data In Vanetsmentioning

confidence: 99%

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

et al. 2020

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Vehicular ad hoc networks (VANETs) face challenges related to the reliability of the data exchanged and the unstability of the communication links. These shortcomings have hampered the development of the long-awaited applications that would turn roads into a smart environment. We present a framework to deploy such services, in which a virtualization layer ensures means to efficiently deliver messages between vehicles and roadside units (RSUs) and, on top of that, blockchain technology is used to enable features of data integrity, traceability, and reliability that cannot be furnished by existing consensus and reputation mechanisms. A simulation experiment is included to determine the optimal number of RSUs to be installed as supporting infrastructure in a city.

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“…(i) Entity-oriented trust models, which evaluate the trustworthiness levels of vehicle nodes to identify selfish or malicious nodes [ 2 , 3 ]. (ii) Data-oriented trust models, which detect malicious nodes by evaluating the trustworthiness of messages [ 4 ]. (iii) Hybrid trust models, which combine both entity-oriented and data-oriented methods [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

On a Blockchain-Based Security Scheme for Defense against Malicious Nodes in Vehicular Ad-Hoc Networks

Liu

Fan

et al. 2022

Sensors

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Vehicular ad-hoc networks (VANETs) aim to provide a comfortable driving experience. Sharing messages in VANETs can help with traffic management, congestion mitigation, and driving safety. However, forged or false messages may undermine the efficiency of VANETs. In this paper, we propose a security scheme based on blockchain technology, where two types of blockchain are constructed based on roadside units (RSUs) and Certificate Authorities (CAs), respectively. The proposed security scheme has multifold goals to identify malicious nodes and detect forged messages based on multiple factors, such as reputation of sender nodes, and time and distance effectiveness of messages. In addition, an incentive mechanism is introduced on the RSU blockchain to encourage RSUs to adopt active behaviors. Extensive simulations show that the proposed scheme exhibits superior performances to existing methods in detecting forged messages and identifying malicious nodes. Meanwhile, it provides privacy protection and improves the efficiency of vehicular networks.

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Trusit centric approach based on similarity in VANET

Cited by 3 publications

References 7 publications

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

A Novel, Efficient, and Secure Anomaly Detection Technique Using DWU‐ODBN for IoT‐Enabled Multimedia Communication Systems

VaNetChain: A Framework for Trustworthy Exchanges of Information in VANETs Based on Blockchain and a Virtualization Layer

On a Blockchain-Based Security Scheme for Defense against Malicious Nodes in Vehicular Ad-Hoc Networks

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