3,723 research outputs found
Security and Privacy Issues in Wireless Mesh Networks: A Survey
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
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
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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