Secure TORA: Removal of Black Hole Attack Using Twofish Algorithm

Venkatadri, N.; Reddy, K. Ramesh

doi:10.1109/iacc.2016.53

Cited by 4 publications

(4 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So all the traffic intended for that particular node will be lost, causing problem in the network 78 . In this attack, the malicious node called as Blackhole node attracts the other nodes by making them appear to have the greatest path to their destination and thus instead of forwarding the packets to the destination drops the data causing the Denial of Service attack in the network 79 . Blackhole attack is categorized in two ways: a) Single Blackhole attack, and b) Combined Blackhole Attack 78 …”

Section: Security Issues and Attacksmentioning

confidence: 99%

A detailed tutorial survey on VANETs: Emerging architectures, applications, security issues, and solutions

Sharma

Kaul

Ahmed

et al. 2021

Int J Communication

View full text Add to dashboard Cite

Summary Vehicular ad‐hoc network (VANET) is an emerging field of mobile ad‐hoc network (MANET) which facilitates intelligent transport system (ITS). It thus helps in enhancing the real‐time driving experience and road safety. Due to association of VANET with life‐critical applications, there is a dire need to understand each and every aspect of it in terms of architecture, security, applications, routing, and so forth, before bringing it into implementation. Although there exist numerous studies on VANETs, they tend to cover only individual aspects of it. This first of its kind survey aims to provide a combined and thorough study of each aspect of VANET along with their advantages and limitations in a single solid document. Different architectures proposed till date have been explored along with their shortcomings and the possible applications which are supported in VANETs. Comparison of various wireless technologies used in VANET based on the range requirement of different VANET applications and various routing protocols that are best suited for VANET on the basis of the application requirement is done. It also discusses the various security attacks possible in VANET, the risks associated with them, and the possible security solutions available for these attacks. Various optimization and bio‐inspired techniques as well as intrusion detection systems for enhancing security in VANET are also analyzed. Finally, various simulators have been investigated, and comprehensive analysis has been done with respect to the feasibility of implementation of VANETs in these simulators. This research is believed to assist the researchers in understanding the current state of research in VANETs.

show abstract

Section: Security Issues and Attacksmentioning

confidence: 99%

A detailed tutorial survey on VANETs: Emerging architectures, applications, security issues, and solutions

Sharma

Kaul

Ahmed

et al. 2021

Int J Communication

View full text Add to dashboard Cite

show abstract

“…Due to its design principles, [18] believe that data transmission among nodes in a MANET network should include protection implementation. As a result, the researchers suggested a cluster-based attack identification and avoidance strategy.…”

Section: Related Workmentioning

confidence: 99%

A Proposed AODV Black hole Detection Model using the Fuzzy Inference Method in MANET Topology

2021

IJETER

View full text Add to dashboard Cite

Mobile Adhoc Network (MANET)as a network of mobile routers that self-configures has raised some security concerns which one of them has been the Black Hole Attack (BHA). Studies have shown various detection and mitigation techniques in line with the black hole attack of MANET technology. However, some of the proposed models in this direction have paid less attention to how fuzzy systems could be integrated in Adhoc On-Demand Distance Vector (AODV)protocol, to further guide its detection abilities against a possible black hole attack. Hence the study proposed a model that integrates the Fuzzy Inference Method (FIM)on the existing AODV security measures in order to strengthen further its detection metrics. Also,an Intrusion Detection System (IDS) was introduced for an early check against possible BHA along with the Fuzzy Parameter Extraction module which performs all necessary parameter checks before passing it on to the FIM. The parameters into consideration were adapted from the study of Narang (2013), with this study modifying further its proposed algorithm using the added concepts earlier mentioned. The proposed model presented tends to perform better than the existing models in this direction with evidence from the theoretical underpinnings of the functionality of the added modules in the proposed system

show abstract

“…N.Venkatadri et al [12] Adhoc's wireless network is a type of wireless network with no fixed infrastructure. Ad Hoc network devices can work on networks within a specific range.…”

Section: Related Workmentioning

confidence: 99%

Detection of Black Hole Attack in DSR Routing Protocol by modified cooperative bait detection scheme

2019

IJRAT

View full text Add to dashboard Cite

The main purpose of this paper is to provide security algorithms against Malicious Node Attack in Mobile Adhoc Network. The node must cooperate with each other to meet the need in the ad-hoc mobile network (MANETs) which provide communication between nodes. The arrival of abnormal nodes (harmful nodes) can cause serious security problems. To resolve this issue, this paper provides a new security network algorithm. The proposed approach consists of three steps: 1) Initial Setup Step; 2) Attack Identification Step using Reverse Tracing, and 3) reactive protection step. The first step detects the existence of potential nodes along the way. The second step finds non-harmful nodes and nodes that are dangerous in the transfer path. Finally, the last step locates a malicious location based on the energy price. To analyze the effectiveness of the suggested method uses the Detection accuracy Misclassification rate, Detection time, Packet Delivery Ratio, Routing Overhead, End-to-End Delay, Throughput, and Packet Loss. Experimental results show that the proposed method offers the best results from the existing approach.

show abstract

Secure TORA: Removal of Black Hole Attack Using Twofish Algorithm

Cited by 4 publications

References 3 publications

A detailed tutorial survey on VANETs: Emerging architectures, applications, security issues, and solutions

A detailed tutorial survey on VANETs: Emerging architectures, applications, security issues, and solutions

A Proposed AODV Black hole Detection Model using the Fuzzy Inference Method in MANET Topology

Detection of Black Hole Attack in DSR Routing Protocol by modified cooperative bait detection scheme

Contact Info

Product

Resources

About