scholarly journals Blockchain-Based Lightweight Trust Management in Mobile Ad-Hoc Networks

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 698 ◽  
Author(s):  
May Thura Lwin ◽  
Jinhyuk Yim ◽  
Young-Bae Ko
Keyword(s):  
Data Storage ◽  
Ad Hoc Network ◽  
Trust Management ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Attack Detection ◽  
Consensus Algorithm ◽  
Main Challenge ◽  
Mobile Ad Hoc ◽  
Trusted Platform

As a trending and interesting research topic, in recent years, researchers have been adopting the blockchain in the wireless ad-hoc environment. Owing to its strong characteristics, such as consensus, immutability, finality, and provenance, the blockchain is utilized not only as a secure data storage for critical data but also as a platform that facilitates the trustless exchange of data between independent parties. However, the main challenge of blockchain application in an ad-hoc network is which kind of nodes should be involved in the validation process and how to adopt the heavy computational complexity of block validation appropriately while maintaining the genuine characteristics of a blockchain. In this paper, we propose the blockchain-based trust management system with a lightweight consensus algorithm in a mobile ad-hoc network (MANET). The proposed scheme provides the distributed trust framework for routing nodes in MANETs that is tamper-proof via blockchain. The optimized link state routing protocol (OLSR) is exploited as a representative protocol to embed the blockchain concept in MANETs. As a securely distributed and trusted platform, blockchain solves most of the security issues in the OLSR, in which every node is performing the security operation individually and in a repetitive manner. Additionally, using predefined principles, the routing nodes in the proposed scheme can collaborate to defend themselves from the attackers in the network. The experimental results show that the proposed consensus algorithm is suitable to be used in the resource-hungry MANET with reduced validation time and less overhead. Meanwhile, the attack detection overhead and time also decrease because the repetitivity of the process is reduced while providing a scalable and distributed trust among the routing nodes.

Security Management in Mobile Ad Hoc Networks

2021 ◽  
pp. 251-265
Author(s):  
Jhum Swain
Keyword(s):  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Secure Routing ◽  
Main Challenge ◽  
Secure Routing Protocol ◽  
Wireless Medium ◽  
Mobile Ad Hoc ◽  
Hoc Networks ◽  
Secured Communication

A mobile ad hoc network (MANETs) is an assortment of a variety of portable nodes that are linked collectively in a greater number in a wireless medium that has no permanent infrastructure. Here, all the nodes in the node partake in acting as both router and host and is in charge for accelerating packets to other nodes. This chapter discusses the various attacks on different layers and on various security protocols. So, designing a secure routing protocol is a main challenge in MANET. As we all know, this is a mobile ad hoc network so nodes in the network dynamically establish paths among each other so it is vulnerable to different kinds of threats. So, in this case, we need secured communication among the nodes present in the network.

Security Threats in Mobile Ad Hoc Network

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Anuj Joshi ◽  
Pallavi Srivastava ◽  
Poonam Singh
Keyword(s):  
Key Management ◽  
Ad Hoc Network ◽  
Network Architecture ◽  
Secure Communication ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Primary Concern ◽  
Security Threats ◽  
Main Challenge ◽  
Mobile Ad Hoc

Mobile Ad Hoc Network (MANET) is a collection of communication devices or nodes that wish to communicate without any fixed infrastructure and pre-determined organization of available links. The nodes in MANET themselves are responsible for dynamically discovering other nodes to communicate. Although the ongoing trend is to adopt ad hoc networks for commercial uses due to the property of its capability in forming temporary network without the aid of any established infrastructure or centralized administration. Due to this unique property, the main challenge is the vulnerability to security attacks. A number of challenges like open peer-to-peer network architecture, stringent resource constraints, shared wireless medium, dynamic network topology etc. are posed in MANET. As MANET is quickly spreading for, security challenges has become a primary concern to provide secure communication. In this paper, we identify the existent security threats an ad hoc network faces, the security services required to be achieved and the countermeasures for attacks in each layer. To accomplish our goal, we have done literature survey in gathering information related to various types of attacks and solutions, as well as we have identified the challenges and proposed solutions to overcome them. In conclusion, we focus on the findings and future works which may be interesting for the researchers like robust key management, trust based systems, data security in different layer etc. However, in short, we can say that the complete security solution requires the prevention, detection and reaction mechanisms applied in MANET.

scholarly journals Detection and Prevention of Man-in-the-Middle Spoofing Attacks in MANETs Using Predictive Techniques in Artificial Neural Networks (ANN)

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Robert A. Sowah ◽  
Kwadwo B. Ofori-Amanfo ◽  
Godfrey A. Mills ◽  
Koudjo M. Koumadi
Keyword(s):  
Intrusion Detection ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Attack Detection ◽  
Mobility Patterns ◽  
Wired Networks ◽  
Man In The Middle ◽  
Mobile Ad Hoc ◽  
Ann Classification

A Mobile Ad-Hoc Network (MANET) is a convenient wireless infrastructure which presents many advantages in network settings. With Mobile Ad-Hoc Network, there are many challenges. These networks are more susceptible to attacks such as black hole and man-in-the-middle (MITM) than their corresponding wired networks. This is due to the decentralized nature of their overall architecture. In this paper, ANN classification methods in intrusion detection for MANETs were developed and used with NS2 simulation platform for attack detection, identification, blacklisting, and node reconfiguration for control of nodes attacked. The ANN classification algorithm for intrusion detection was evaluated using several metrics. The performance of the ANN as a predictive technique for attack detection, isolation, and reconfiguration was measured on a dataset with network-varied traffic conditions and mobility patterns for multiple attacks. With a final detection rate of 88.235%, this work not only offered a productive and less expensive way to perform MITM attacks on simulation platforms but also identified time as a crucial factor in determining such attacks as well as isolating nodes and reconfiguring the network under attack. This work is intended to be an opening for future malicious software time signature creation, identification, isolation, and reconfiguration to supplement existing Intrusion Detection Systems (IDSs).

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