DD-SARP: Dynamic data secure Anonymous Routing Protocol for MANETs in attacking environments

Imran, S.; Karthick, R. Vimal; Visu, P.

doi:10.1109/icstm.2015.7225388

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…ere are two popular methods used in feature selection, namely, (1) the filter method (more suited for data mining) and (2) Journal of Computer Networks and Communications machine learning). Using the WEKA software tool, it was observed that the wrapper method was the best, because the starting number of features-twenty-six (26) in total-which were extracted by the Perl script "dataCleanerBetter.pl" was relatively small. Primarily, the problem at that stage was a machine learning problem as opposed to a data mining problem.…”

Section: Feature Extraction and Machine Learning (Wrapper Method)mentioning

confidence: 99%

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

Sowah

Ofori-Amanfo

Mills

et al. 2019

Journal of Computer Networks and Communications

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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. ese networks are more susceptible to attacks such as black hole and man-in-the-middle (MITM) than their corresponding wired networks. is 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. e ANN classification algorithm for intrusion detection was evaluated using several metrics. e 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. is 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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Section: Feature Extraction and Machine Learning (Wrapper Method)mentioning

confidence: 99%

“…is paper aimed to minimize the number of false positives while increasing the number of detected attacks using neural networks. Overall, there is a lot of literature on MANET attacks but very little of it specifically addresses the problem of man-in-the-middle attacks [4,11,15,25,26]. is study aims at remedying this situation.…”

Section: Related Workmentioning

confidence: 99%

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

Sowah

Ofori-Amanfo

Mills

et al. 2019

Journal of Computer Networks and Communications

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“…There is random selection of nodes that always leads to the formation of un-GPSR follows greedy method to forward packets using the one hop neighbors information. Simulation results have shown that efficiency of proposed protocol DD-SHARP has improved[3]. A variant of ALERT has been proposed as S-ALERT [13] that implements suspect detection algorithm to avoid any black hole problem.…”

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confidence: 99%

E-SHARP: Enhanced Secured Hierarchical Anonymous Routing Protocol for MANETs

Wajid¹,

Gupta²

2016

IJCA

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MANETs are a type of wireless networks, typical choice for communication and data sharing. As the application field for MANETs widens so does the need for secure data transmission. Due to limitations posed by wireless and decentralized nature of MANETs the routing protocols proposed for MANETs are vulnerable to different types of attacks. Hence anonymous routing protocols are proposed that provides security and anonymity for secure communications. In this paper we are working on a protocol called E-SHARP which basically secures the data communication between the nodes, where the network is divided into clusters. The problem with underlying protocol SHARP is that it does take in to account the malicious node activity which is done by the nodes within the cluster. The Sharp protocol is improved in this work by adding the concept of helper nodes in the protocol which confirms the data routed internally by nodes is malicious or not by confirming with help of helper node. The proposed techniques evaluated using simulation. Our study shows that it is possible to guarantee a desired level of anonymity with intra and inter cluster data security.

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SARP: secure routing protocol using anonymous authentication in vehicular Ad-hoc networks

Yelure¹,

Sonavane²

2021

J Ambient Intell Human Comput

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DD-SARP: Dynamic data secure Anonymous Routing Protocol for MANETs in attacking environments

Cited by 3 publications

References 9 publications

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

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

E-SHARP: Enhanced Secured Hierarchical Anonymous Routing Protocol for MANETs

SARP: secure routing protocol using anonymous authentication in vehicular Ad-hoc networks

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