Integrated Context-Based Mitigation Framework for Enforcing Security against Rendezvous Point Attack in MANETs

Janakiraman, S.; Priya, M. Deva; Jebamalar, A. Christy

doi:10.1007/s11277-021-08323-4

Cited by 12 publications

(11 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…R. Bhuvaneswari and R. Ramachandran (20) suggested a Denial of service (DoS) attack solution on Optimized Link State Routing (OLSR) based MANET. This model was grounded on fictitious node-centered attacker node detection.…”

Section: S Sokkalingam and R Ramakrishnanmentioning

confidence: 99%

RETRACTED: An efficient framework for application layer DDoS attack detection and mitigation for Mobile Ad Hoc Network

Salunke

Kurumbanshi

2023

Preprint

View full text Add to dashboard Cite

In today’s era of heterogeneous networks, MANET is an evident answer to anytime anywhere network. It is an accumulation of self-organizing mobile devices that communicates with each other wirelessly. A major threat to the mobile node's security and its communication in MANET is the Distributed Denial of Service (DDOS) attack. for researchers its very challenging to separate flash events from application layer DDOS attacks even though various ideas were provided by the prevailing models for attack detection and mitigation. The proposed novel Xavier SoftPlus Convolutional Neural Network (X-SPCNN), Double Shift Right and Compliment (DSRC), and PCC-based Interpolation based – Crossover Mutation Invasive Weed Optimization (I-CMIWO) techniques form an efficient model for DDOS Attack Detection and Mitigation in MANET with Differentiation from Flash Events. The key envelopment of this paper is the identification of unique features for DDoS attack detection with Brownian motion-centered Harris Hawks Optimization (BM-HHO). The projected X-SPCNN classifier which classifies the user as a legitimate user and Non-Legitimate based on chosen features is provided it hives a classification accuracy of 96.56%. proposed I-CMIWO and DSRC provide better results in monitoring and mitigation as compared to prevailing algorithms. Dissimilar IDS datasets which are created in unalike years and dissimilar investigational DDoS traffic generation tools are considered datasets to provide a better response in a distributed environment. The outcomes exhibited proposed model give better performance in assessment parameters than prevailing algorithms.

show abstract

Section: S Sokkalingam and R Ramakrishnanmentioning

confidence: 99%

RETRACTED: An efficient framework for application layer DDoS attack detection and mitigation for Mobile Ad Hoc Network

Salunke

Kurumbanshi

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In specific, the source generates 2 packets per seconds with a maximum of 25 source and destination pairs interacting with one another during the process of communication. Further, the data packet used in this simulation is 512 bytes with constant bit rate data traffic 30–32 . The pause time used is 60 s with respect to their expected destination.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Further, the data packet used in this simulation is 512 bytes with constant bit rate data traffic. [30][31][32] The pause time used is 60 s with respect to their expected destination. In addition, the time of simulation is 9.12 min.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

Mylsamy¹,

Jayaprakash²

2023

Int J Communication

View full text Add to dashboard Cite

Summary In mobile ad hoc networks (MANETs), cooperative communication and resource constraint are the two important core characteristics essential to guarantee trusted data dissemination. The cooperative communication between mobile nodes depends on the trust rendered by them towards the process of reliable data routing. However, stringent resource constraints of mobile nodes such as energy, memory, communications, and computations result in the introduction of selfish and malicious node that completely degrades the network performance in different dimensions. In this paper, Z number improved reference ideal method (RIM)‐based decision‐making process (NIRIMDMP) is proposed with the merits of maximizing deviation method (MDM) and best–worst method (BWM) to ensure reliable data routing by modeling the cooperation degree in terms of Z number. This NIRIMDMP adopted Z number to represent the information reliability and handle the problem of inherent uncertainty during the process of evaluating each mobile node in the routing process. In specific, MDM and BWM are included into the proposed NIRIMDMP to determine comprehensive attribute weights based on the calculated objective and subjective weights that could be possible derived in routing. It extended the merits of classical RIM using Z numbers to confirm reliable ranking of mobile nodes, even when the optimal solution exists amid extreme values taken into consideration for assessing the mobile nodes during decision making. Simulation investigations of the proposed NIRIMDMP confirmed improved throughput and network lifetime with reduced control overhead, energy consumptions, and delay independent of the amount of malicious and non‐cooperative nodes.

show abstract

“…Simulation experiments of proposed HPDBWOA-NC and standard approaches are performed with parameters depicted in Table 1. [37][38][39][40][41][42] The experiments are conducted with 100 vehicular nodes for a transmission range between 100 and 500 m. The experiments are run for 30 times, and the mean results are used for plotting. It is implemented with the model of freeway mobility with the speed of the vehicular nodes varied from 20 to 30 m/s, respectively.…”

Section: Resultsmentioning

confidence: 99%

“…Simulation experiments of proposed HPDBWOA‐NC and standard approaches are performed with parameters depicted in Table 1 37–42 . The experiments are conducted with 100 vehicular nodes for a transmission range between 100 and 500 m. The experiments are run for 30 times, and the mean results are used for plotting.…”

Section: Resultsmentioning

confidence: 99%

An intelligent hybrid prairie dog optimization algorithm‐based stable cluster reliable routing scheme for VANETs

Nithyanandam,

Ambiyaram,

Prabathkumar

2023

Int J Communication

View full text Add to dashboard Cite

SummaryVehicular ad hoc network (VANET) is most significant for supporting intelligent transportation system (ITS)‐based technologies, but it gets hurdled by sparse distribution of vehicles on highways, and dynamically challenging topology that arises due to increase in traffic. Hence, energy stable and optimized cluster construction maximizes the network lifetime. In this paper, Hybrid Prairie Dogs and Beluga Whale Optimization‐based Node Clustering (HPDBWOA‐NC) mechanism is proposed with the parameters of highway route, node velocity, number of vehicular nodes, and communication for achieving stable cluster construction in VANETs. It is proposed with the balanced exploration and exploitation potential of Prairie Dog Optimization Algorithm (PDOA) and Beluga Whale Optimization Algorithm (BWOA) for establishing optimal clusters that increase the network stability during the routing process. It integrated the exploration and exploitation capabilities of PDOA and BWOA and confirmed better optimized clusters which confirmed reliable data delivery by preventing the issue of premature convergence. It constructed clusters and selected cluster heads (CHs) depending on the fitness factors of energy, interdistance between vehicles, communication range, and vehicular density. The results of the proposed HPDBWOA‐NC generated optimal number of CHs in the network which is comparatively 34.21% better than the benchmarked mechanisms. The mean throughput and packet delivery ratio (PDR) achieved by the proposed HPDBWOA‐NC are identified to be significantly improved by 25.48% and 28.91% better than the investigated metaheuristic clustering protocols. The statistical study also guaranteed an increased factor of 81, during the processing of optimizing the clusters during the employment of ITS applications in VANETs.

show abstract

Integrated Context-Based Mitigation Framework for Enforcing Security against Rendezvous Point Attack in MANETs

Cited by 12 publications

References 27 publications

RETRACTED: An efficient framework for application layer DDoS attack detection and mitigation for Mobile Ad Hoc Network

RETRACTED: An efficient framework for application layer DDoS attack detection and mitigation for Mobile Ad Hoc Network

Z number improved reference ideal method‐based decision‐making process for enforcing cooperation during data dissemination in mobile ad hoc networks

An intelligent hybrid prairie dog optimization algorithm‐based stable cluster reliable routing scheme for VANETs

Contact Info

Product

Resources

About