ZIDS: Zonal-based Intrusion Detection System for studying the malicious node behaviour in MANET

Sangeetha, V.; Kumar, S. Phani

doi:10.1109/erect.2015.7499026

Cited by 5 publications

(8 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sangeetha and Kumar [19] presenting an packet transmission characteristics of portable nodes in ad hoc organize are very confounding to comprehend attributable to the decentralized design and dynamic topology. The current framework has introduced different security arrangements to comprehend the noxious movement of the enemy.…”

Section: Related Workmentioning

confidence: 99%

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Panatula¹,

Naidu²,

Swaroopa

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The mobile nodes are infrequent movement in nature; therefore, its packet transmission is also infrequent. Packet overload occurred for routing process, and data are lossed by receiver node, since hackers hide the normal routing node. Basically, the hidden node problem is created based on the malicious nodes that are planned to hide the vital relay node in the specific routing path. The packet transmission loss occurred for routing; so, it minimizes the packet delivery ratio and network lifetime. Then, proposed enhanced self-organization of data packet (EAOD) mechanism is planned to aggregate the data packet sequencially from network structure. The hacker node present in routing path is easy to separate from network with trusty nodes. In order to secure the regular characteristics of organizer node from being confirmed as misbehaving node, the hidden node detection technique is designed for abnormal routing node identification. This algorithm checks the neighboring nodes that are hacker node, which hide the trust node in the routing path. And that trust nodes are initially found based on strength value of every node and assign path immediately. It increases network lifetime and minimizes the packet loss rate.

show abstract

Section: Related Workmentioning

confidence: 99%

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Panatula¹,

Naidu²,

Swaroopa

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…SRA has higher throughput than currently used methods as a result. Throughput % of Attack Nodes AIS [19] ZIDS [21] Improved AODV [25] Proposed Approach…”

Section: Network Throughputmentioning

confidence: 99%

“…Because of their decentralized structure and changeable architecture, Sangeetha and Kumar [21] give data packet metrics of mobile nodes in ad hoc architecture that are particularly difficult to understand. To understand the poisonous motion of the adversary, the current structure has implemented several security procedures.…”

Section: Related Workmentioning

confidence: 99%

Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET

Sankar¹,

Dhinakaran²,

C³

et al. 2022

IJETT

View full text Add to dashboard Cite

Wireless networks that are decentralized and communicate without using existing infrastructure are known as mobile ad-hoc networks. The most common sorts of threats and attacks can affect MANETs. Therefore, it is advised to utilize intrusion detection, which controls the system to detect additional security issues. Monitoring is essential to avoid attacks and provide extra protection against unauthorized access. Although the current solutions have been designed to defeat the attack nodes, they still require additional hardware, have considerable delivery delays, do not offer high throughput or packet delivery ratios, or do not do so without using more energy. The capability of a mobile node to forward packets, which is dependent on the platform's life quality, may be impacted by the absence of the network node power source. We developed the Safe Routing Approach (SRA), which uses behaviour analysis to track and monitor attackers who discard packets during the route discovery process. The attacking node recognition system is made for irregular routing node detection to protect the controller network's usual properties from becoming recognized as an attack node. The suggested method examines the nearby attack nodes and conceals the trusted node in the routing pathway. The path is instantly assigned after the initial discovery of trust nodes based on each node's strength value. It extends the network's life span and reduces packet loss. In terms of Packet Delivery Ratio (PDR), energy consumption, network performance, and detection of attack nodes, the suggested approach is contrasted with AIS, ZIDS, and Improved AODV. The findings demonstrate that the recommended strategy performs superior in terms of PDR, residual energy, and network throughput.

show abstract

“…The way in which the measure of confidence is generated, allows us to divide the strategies, structures that contain the actions to be developed, into the types mentioned below we will mention the main characteristics [20] of each types: a) Cluster: This trust scheme uses authentication by means of public keys in the evaluation of a node, these are grouped into clusters which allows a group of nodes to monitor the activity of the equipment directly, the nodes certify the trust of a computer which can be verified with the use of the key and a certificate issued by each neighbour, the nodes which issue trust certificates [21,22] which do not coincide with the evaluation of the Cluster would be considered "malicious" nodes and would lose the possibility of participating in the network [23,24]. b) Social networks: Model based on four components on each computer; Monitor that detects unusual behaviour in the nodes, reputation system that allows the nodes to be qualified acording to their routing or data transmission actions, route manager in charge of selecting the routes they present, and a trusted manager that alerts to the so-called malicious nodes.…”

Section: Trusted Modelsmentioning

confidence: 99%

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

Kowsalya¹

2021

TURCOMAT

View full text Add to dashboard Cite

A MANET network is made up of wireless nodes which operate without a defined structure, the arrangement of existing devices does not have any ministerial or control entity . the management tasks are carried out by the teams which are in the network, therefore a MANET network is said to be a managed network. As there is no infrastructure, such as, the bandwidth, availability, input error rate, among others, depend exclusively on the behaviour of the network users. This work presents a functional solution, which decreases the energy consumption in MANET networks, implemented using game theories and genetic algorithms solution. The evaluation of the pay-as-you-go strategy from the modified prisoner dilemma was shown to be an easy to implement and interpret tool for the network equipment. The processes of generation, combination and mutation of strategies demonstrated the in-centive of cooperation in the network, observed in the increase of the average confidence of the nodes, a very high value. The intervention of the protocol with the use of genetic algorithms, demonstrated ot be a form of implementation of solutions for problems of multiple agents, the increase in the evaluation of trust of the nodes was observed, which can be interpreted as a convergence of the nodes to cooperate. The results obtained in the simulations carried out show the functioning of the algorithm implemented and the functionality of the network after its implementation.

show abstract

ZIDS: Zonal-based Intrusion Detection System for studying the malicious node behaviour in MANET

Cited by 5 publications

References 16 publications

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Implementation of Hidden Node Detection Scheme for Self-Organization of Data Packet

Safe Routing Approach by Identifying and Subsequently Eliminating the Attacks in MANET

Evaluation of Trust Algorithm in a Mobile Ad-Hoc Network Using Artificial Engineering

Contact Info

Product

Resources

About