An enhanced intrusion detection system for mobile ad-hoc network based on traffic analysis

Bala, Kanchan; Jothi, S.; Chandrasekar, A.

doi:10.1007/s10586-018-2545-9

Cited by 15 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed application had to reside on a server that can monitor the network based on the weightage system. A mobile-based intrusion detection system was proposed by (Bala, Jothi, & Chandrasekar, 2018). The proposed technique was based on learning with the help of traffic analysis.…”

Section: Noteworthy Contribution Related To This Work Has Been Presen...mentioning

confidence: 99%

An Efficient Method to Decide the Malicious Traffic

Kumar

Singh

Kumar

et al. 2023

International Journal of Decision Support System Technology

View full text Add to dashboard Cite

To address the high rate of false alarms, this article proposed a voting-based method to efficiently predict intrusions in real time. To carry out this study, an intrusion detection dataset from UNSW was downloaded and preprocessed before being used. Given the number of features at hand and the large size of the dataset, performance was poor while accuracy was low. This low prediction accuracy led to the generation of false alerts, consequently, legitimate alerts used to pass without an action assuming them as false. To deal with large size and false alarms, the proposed voting-based feature reduction approach proved to be highly beneficial in reducing the dataset size by selecting only the features secured majority votes. Outcome collected prior to and following the application of the proposed model were compared. The findings reveal that the proposed approach required less time to predict, at the same time predicted accuracy was higher. The proposed approach will be extremely effective at detecting intrusions in real-time environments and mitigating the cyber-attacks.

show abstract

Section: Noteworthy Contribution Related To This Work Has Been Presen...mentioning

confidence: 99%

An Efficient Method to Decide the Malicious Traffic

Kumar

Singh

Kumar

et al. 2023

International Journal of Decision Support System Technology

View full text Add to dashboard Cite

show abstract

“…Bala et al [11] proposed a routing‐based intrusion detection method in the traffic analysis of the mobile ad hoc networks. The authors have applied network information theory to evaluate throughput and packet delivery factors for the proposed method.…”

Section: Related Workmentioning

confidence: 99%

Improved intrusion detection method for communication networks using association rule mining and artificial neural networks

2020

View full text Add to dashboard Cite

“…Some of the applications are disaster management, rescue operations, military applications, casual meetings, emergency operations, casual meetings, robot networks, and maritime communications. [2][3][4][5][6][7] The MANET networks do not need certain infrastructure thus leading the MANET to work with low bandwidth as well as low channel capacity.…”

Section: Introductionmentioning

confidence: 99%

“…The most common features of MANET are self‐managing and self‐organizing, adaptive network topology, mobile nodes, multi‐hop routing, no centralized administrator, easy node exploitation made MANET proper for the extensive range of applications. Some of the applications are disaster management, rescue operations, military applications, casual meetings, emergency operations, casual meetings, robot networks, and maritime communications 2‐7 …”

Section: Introductionmentioning

confidence: 99%

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

Hemalatha

Umamaheswari²,

Jothi

2022

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

In mobile ad hoc network, the routing task is considered to be more complicated issue.In order to find efficient route in MANET, the positions of each stable node in the network is identified initially. The main contribution of this paper is to identify the locations of neighboring nodes in MANET for the establishment of multi path routing in diverse mobility patterns. It also handles packet scheduling to balance the load as well as data forwarding with less communication time. The proposed work explains four phases such as stable node prediction, stability determination, route exploration, and packet dissemination. At first, the stable nodes are identified using recurrent neural network along with modified seagull optimization approach. By means of Garson's pruning based recurrent neural network accompanied with modified sea gull optimization (RMSG) algorithm, the stable neighbors are chosen. The network routing is formed by interconnecting the stable nodes from the source to the destination. When a routing link failure happens, the route recovery process will be initiated. Thus, the data packets are broadcasted in multi-paths without any intervention. The measures namely packet delivery ratio, throughput, end-to-end delay, routing overhead, optimal path selection, and energy consumption are utilized to evaluate the performance of proposed approach. The experimental analysis proved that the proposed approach well performed than other compared existing approaches.

show abstract

An enhanced intrusion detection system for mobile ad-hoc network based on traffic analysis

Cited by 15 publications

References 16 publications

An Efficient Method to Decide the Malicious Traffic

An Efficient Method to Decide the Malicious Traffic

Improved intrusion detection method for communication networks using association rule mining and artificial neural networks

An efficient stable node selection based on Garson's pruned recurrent neural network and MSO model for multipath routing in MANET

Contact Info

Product

Resources

About