Enhanced MANET security using artificial immune system based danger theory to detect selfish nodes

Jim, Lincy Elizabeth; Islam, Nahina; Gregory, Mark A

doi:10.1016/j.cose.2021.102538

Cited by 22 publications

(15 citation statements)

References 18 publications

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“…The MANET efficiency is based on consideration of the different factors such as flow rate, mobility, traffic, attackers, and position of nodes. Similarly, in [18], the authors presented a decentralized traffic monitoring system based on optimization model. The optimization-based approach uses bio-inspired algorithm stated as Artificial Immune System Based Algorithm (AISBA).…”

Section: Related Workmentioning

confidence: 99%

EsECC_SDN: Attack Detection and Classification Model for MANET

Vuyyuru¹,

Alotaibi²,

Veeraiah³

et al. 2023

Computers, Materials &Amp; Continua

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Mobile Ad Hoc Networks (MANET) is the framework for social networking with a realistic framework. In the MANET environment, based on the query, information is transmitted between the sender and receiver. In the MANET network, the nodes within the communication range are involved in data transmission. Even the nodes that lie outside of the communication range are involved in the transmission of relay messages. However, due to the openness and frequent mobility of nodes, they are subjected to the vast range of security threats in MANET. Hence, it is necessary to develop an appropriate security mechanism for the data MANET environment for data transmission. This paper proposed a security framework for the MANET network signature escrow scheme. The proposed framework uses the centralised Software Defined Network (SDN) with an ECC cryptographic technique. The developed security framework is stated as Escrow Elliptical Curve Cryptography SDN (EsECC_SDN) for attack detection and classification. The developed EsECC-SDN was adopted in two stages for attack classification and detection: (1) to perform secure data transmission between nodes SDN performs encryption and decryption of the data; and (2) to detect and classifies the attack in the MANET hyper alert based Hidden Markov Model Transductive Deep Learning. Furthermore, the EsECC_SDN is involved in the assignment of labels in the transmitted data in the database (DB). The escrow handles these processes, and attacks are evaluated using the hyper alert. The labels are assigned based on the k-medoids attack clustering through label assignment through a transductive deep learning model. The proposed model uses the CICIDS dataset for attack detection and classification. The developed framework EsECC_SDN's performance is compared to that of other classifiers such as AdaBoost, Regression, and Decision Tree. The performance of the 6666 CMC, 2023, vol.74, no.3 proposed EsECC_SDN exhibits ∼3% improved performance compared with conventional techniques.

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Section: Related Workmentioning

confidence: 99%

EsECC_SDN: Attack Detection and Classification Model for MANET

Vuyyuru¹,

Alotaibi²,

Veeraiah³

et al. 2023

Computers, Materials &Amp; Continua

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“…In addition, wifi gadgets have become much smaller and cheaper in recent decades. A collection of wireless nodes connects to a Mobile Ad hoc Network (MANET), allowing changeable network settings without relying on any underlying architecture [1][2][3][4]. Each node in the network has a data transceiver to transmit and receive information.…”

Section: Introductionmentioning

confidence: 99%

“…However, due to these limits, the transmission of data packets is becoming delayed increasingly. In [2], propose an on-demand multicast routing strategy for self-organized networks that is secure and trustbased MANET, highlighting benefits such as these. Improved routing quality and optimized approach to determine the optimum path.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

Pari¹,

Sudharson²

2023

Intelligent Automation &Amp; Soft Computing

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The protection of ad-hoc networks is becoming a severe concern because of the absence of a central authority. The intensity of the harm largely depends on the attacker's intentions during hostile assaults. As a result, the loss of Information, power, or capacity may occur. The authors propose an Enhanced Trust-Based Secure Route Protocol (ETBSRP) using features extraction. First, the primary and secondary trust characteristics are retrieved and achieved routing using a calculation. The complete trust characteristic obtains by integrating all logical and physical trust from every node. To assure intermediate node trustworthiness, we designed an ETBSRP, and it calculates and certifies each mobile node's reputation and sends packets based on that trust. Connection, honesty, power, and capacity are the four trust characteristics used to calculate node reputation. We categorize Nodes as trustworthy or untrustworthy according to their reputation values. Fool nodes are detached from the routing pathway and cannot communicate. Then, we use the cryptographic functions to ensure more secure data transmission. Finally, we eliminate the untrustworthy nodes from the routing process, and the datagram from the origin are securely sent to the target, increasing throughput by 93.4% and minimizing delay.

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“…To enhance the traffic safety, misbehavior detection using machine learning has been studied in [17]. Security issue in MANET has been discussed in many papers such as [18], [19]. The impact of retransmissions of packet lost and energy consumption in order to choose the appropriate routing protocol that can be enhance quality of service (QoS) of MANET are minimized and examined using NS-3 simulator [20].…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of dynamic source routing protocol with variation in transmission power and speed

Saad¹,

Youssef

2023

IJECE

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<span lang="EN-US">Mobile ad-hoc network (MANET) is a set of mobile wireless nodes (devices) which is not rely on a fixed infrastructure. In MANETs, each device is responsible for routing its data according to a specific routing protocol. The three most common MANET routing protocols are: dynamic source routing protocol (DSR), optimized link state routing protocol (OLSR), and ad-hoc on-demand distance vector (AODV). This paper proposes an efficient evaluation of DSR protocol by testing the MANETs routing protocol with variation in transmission power at different speeds. The performance analysis has been given using optimized network engineering tools (OPNET) modeler simulations and evaluated using metrics of average end to end delay and throughput. The results show that the throughput increases as the transmission power increases up to a certain value after which the throughput decreases, also the network work optimally at a certain transmission power which varied at different speed.</span>

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Enhanced MANET security using artificial immune system based danger theory to detect selfish nodes

Cited by 22 publications

References 18 publications

EsECC_SDN: Attack Detection and Classification Model for MANET

EsECC_SDN: Attack Detection and Classification Model for MANET

An Enhanced Trust-Based Secure Route Protocol for Malicious Node Detection

Performance evaluation of dynamic source routing protocol with variation in transmission power and speed

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