A review on various security attacks in vehicular ad hoc networks

Hamdi, Mustafa Maad; Audah, Lukman; Abood, Mohammed Salah; Rashid, Shah Samiur; Mustafa, A. F.; Mahdi, Hussain Falih; Al-Hiti, Ahmed Shakir

doi:10.11591/eei.v10i5.3127

Cited by 22 publications

(10 citation statements)

References 28 publications

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“…The other optimal path selection algorithms which are used in the earlier researches are adaptive PSO [14], butterfly optimization algorithm (BOA) [15], quasi oppositional butterfly optimization algorithm (QOBOA) [16], ACO [17], grey wolf optimization (GWO) [18], the fruit fly optimization algorithm (FFOA) [19]. Some of the review works show about the security services such as confidentiality, authentication, integrity, and availableness [20], [21].…”

Section: Earlier Methodsmentioning

confidence: 99%

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

et al. 2022

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During these years the current trends shows a fast expansion in the field of wireless sensor network (WSN) based applications. Due to this much vulnerability are created and also coverage optimization becomes essential to improve overall performance. However, maximum of the model concentrates only on security or efficiency. In order to create a highly efficient protocol both concepts need to get concerted. So, we developed a protocol namely hybrid security in ad-hoc on-demand multipath distance vector (AOMDV) routing protocol with improved salp swarm algorithm (HSA-ISSA). This model is sub-divided into three sections. They are, wormhole attack and gray hole attack construction AOMDV protocol, improved salp swarm algorithm (SSA) model is used for weighted distance position updates which leads to improve the efficiency. And to secure the network from attacks we use hybrid security with the help of Diffie-Hellman key interchange algorithm and elliptic-curve cryptography (ECC) algorithm. During performance evaluation the proposed HS-ISSA protocol provide stable results in terms of message success rate (MSR), end to end delay (E2E_Delay), network throughput (NT), and average energy efficiency (AEE). Our HAS-ISSA protocol outperformed all the other earlier works by providing hybrid security, optimized coverage as well as energy efficiency to the wireless sensor networks.

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Section: Earlier Methodsmentioning

confidence: 99%

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

et al. 2022

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“…Figure 3 presents a graphical representation of this attack. Many other methods have been studied and developed to increase the security of information, the way it is transmitted, and the detection of possible attacks on this information [22]- [24]. Over the past 20 years, several academics have developed fresh approaches for solving the issues that relate to the wireless ad hoc networks [25]- [29].…”

Section: Figure 2 Overview Of Grey Hole Attack [19]mentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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As a result of the expansions that have taken place in the field of networking and the increase in the number of users of networks, there have recently been breakthroughs made in the techniques and methods used for network security. In this paper, a virtual private network (VPN) is proposed as a means of providing the necessary level of security for particular connections that span across vast networks. After the network performance metrics such as time delay and throughput have been accomplished, the suggested VPN is recommended for the purpose of assuring network security. In addition, artificial intelligence attack predictors and virtual private networks have been implemented with the purpose of preventing harmful activity within such connections. Using a wide variety of machine learning methods like Random Forests and Nave Bays, malicious assaults of any kind can be identified and thwarted in their tracks. Another technique for anticipating attacks is the use of an artificial neural network, which is a type of system that engages in deep learning and learns the behaviors of attacks while it is being trained so that it can then predict attacks. The results of this study demonstrate that the use of machine learning and artificial intelligence techniques can significantly improve the security and performance of virtual private networks and can effectively identify and prevent malicious attacks on networks.

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“…The number of blocks is denoted by (𝑖, 𝑗), where 𝑖 and 𝑗 define the row and column for each standard block. The expression is in (5).…”

Section: Sk = Csgeneratekey()mentioning

confidence: 99%

A java servlet based transaction broker for internet of things edge device communications

2022

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Internet of things (IoT) technology is growing exponentially in almost every sphere of life. IoT offers several innovation capabilities and features, but they are also prone to security vulnerabilities and risks. These vulnerabilities must be studied to protect these technologies from being exploited by others. Cryptography techniques and approaches are commonly used to address and deal with security vulnerabilities. In general, the message queuing telemetry transport (MQTT) is an application layer protocol vulnerable to various known and unknown security issues. One possible solution is to introduce an encryption algorithm into the MQTT communication protocol for secure transmission. This study aims to solve the security problem of IoT traffic by using a secure and lightweight communication proxy. The strategy behind this communication broker acts as a network gateway providing secure transaction keys to all IoT nodes in the network. This task uses a java servlet and elliptic curve cryptography (ECC) algorithm to generate identity encryption keys in a component-based web transaction infrastructure. This approach encrypts the data before it is sent via the MQTT protocol to secure the communication channel and raise the security device and network transactions.

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A review on various security attacks in vehicular ad hoc networks

Cited by 22 publications

References 28 publications

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

Hybrid security in AOMDV routing protocol with improved salp swarm algorithm in wireless sensor network

Malicious attacks modelling: a prevention approach for ad hoc network security

A java servlet based transaction broker for internet of things edge device communications

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