3,722 research outputs found

    Security and Privacy Issues in Wireless Mesh Networks: A Survey

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    This book chapter identifies various security threats in wireless mesh network (WMN). Keeping in mind the critical requirement of security and user privacy in WMNs, this chapter provides a comprehensive overview of various possible attacks on different layers of the communication protocol stack for WMNs and their corresponding defense mechanisms. First, it identifies the security vulnerabilities in the physical, link, network, transport, application layers. Furthermore, various possible attacks on the key management protocols, user authentication and access control protocols, and user privacy preservation protocols are presented. After enumerating various possible attacks, the chapter provides a detailed discussion on various existing security mechanisms and protocols to defend against and wherever possible prevent the possible attacks. Comparative analyses are also presented on the security schemes with regards to the cryptographic schemes used, key management strategies deployed, use of any trusted third party, computation and communication overhead involved etc. The chapter then presents a brief discussion on various trust management approaches for WMNs since trust and reputation-based schemes are increasingly becoming popular for enforcing security in wireless networks. A number of open problems in security and privacy issues for WMNs are subsequently discussed before the chapter is finally concluded.Comment: 62 pages, 12 figures, 6 tables. This chapter is an extension of the author's previous submission in arXiv submission: arXiv:1102.1226. There are some text overlaps with the previous submissio

    High-Quality in Data Authentication Dodging Massive Attack in VANETS

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    VANET plays an important role in the Security terms. VANET network is due to their unique features like as a high dynamic network (topology) and Mobility prediction. It attracts so much attention to the industry. VANET wireless networks are rapidly increased commercial and academic interests. Mobile connectivity, Traffic congestion management and road safety are some applications that have arisen within this network model. The routing protocol is a reactive type which means if there is data to be sent then the way will create. On-demand Distance Vector routing protocol is a generally used network topology based on rules for VANET. In surveyed of the routing protocol implemented a balance AODV method used for identifying the malicious nodes in the network. A balanced AODV routing method is defined with following characteristics:- (i) Use of threshold adaptive according to the network situations and balance index i.e node nature. (ii) Detect the malicious node in the network. (iii) Detection and prevention methods in real-time and independent on each vehicle node. In research paper, implement a B-AODV routing protocol and RSA method for detection and prevention the malicious node in the vehicular network. In this proposed algorithm, each vehicle node is employing balance index for acceptable and reject able REQ information’s (Bits). The consequences of the simulation tool in MATLAB (Matrix Laboratory) indicates BAODV and RSA method is used to detect and prevent the flood attach and loss of network bandwidth. Comparison between AODV, BAODV, RSA in normal phase defines B-AODV is exactly matched with AODV in the vehicular network and performance analysis overhead, an end to end delay and packet delivery rate

    Secure Authentication Mechanism for Cluster based Vehicular Adhoc Network (VANET): A Survey

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    Vehicular Ad Hoc Networks (VANETs) play a crucial role in Intelligent Transportation Systems (ITS) by facilitating communication between vehicles and infrastructure. This communication aims to enhance road safety, improve traffic efficiency, and enhance passenger comfort. The secure and reliable exchange of information is paramount to ensure the integrity and confidentiality of data, while the authentication of vehicles and messages is essential to prevent unauthorized access and malicious activities. This survey paper presents a comprehensive analysis of existing authentication mechanisms proposed for cluster-based VANETs. The strengths, weaknesses, and suitability of these mechanisms for various scenarios are carefully examined. Additionally, the integration of secure key management techniques is discussed to enhance the overall authentication process. Cluster-based VANETs are formed by dividing the network into smaller groups or clusters, with designated cluster heads comprising one or more vehicles. Furthermore, this paper identifies gaps in the existing literature through an exploration of previous surveys. Several schemes based on different methods are critically evaluated, considering factors such as throughput, detection rate, security, packet delivery ratio, and end-to-end delay. To provide optimal solutions for authentication in cluster-based VANETs, this paper highlights AI- and ML-based routing-based schemes. These approaches leverage artificial intelligence and machine learning techniques to enhance authentication within the cluster-based VANET network. Finally, this paper explores the open research challenges that exist in the realm of authentication for cluster-based Vehicular Adhoc Networks, shedding light on areas that require further investigation and development
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