TADR-EAODV: A trust-aware dynamic routing algorithm based on extended AODV protocol for secure communications in wireless sensor networks

Yang, Zhe; Li, Lingzhi; Gu, Fangyi; Ling, Xinghong; Hajiee, Maryam

doi:10.1016/j.iot.2022.100627

Cited by 14 publications

(5 citation statements)

References 36 publications

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“…This scalability feature assists in achieving better traffic control and avoids unnecessary routing updates and loops, thus reducing power consumption. This is clearly represented in Figure 6, where IOT-MAC outclassed AIDP [33], TADR-EAODV [34], and SecRIP [35] by an average 24% dip in energy consumption. IoT MAC protocols incorporate power-saving techniques, such as duty cycling, to minimize energy consumption and extend the battery life of IoT devices.…”

Section: ) Performance Evaluation Of Mac Protocolmentioning

confidence: 91%

“…Krishnan et al [33] suggested a protocol to detect and prevent intrusions in IoT-based wireless sensor networks, which reduced delay, energy consumption, and throughput but also resulted in high communication overheads during the training process. Yang et al [34] developed the ''TADR-EAODV'' algorithm in 2022 to secure communication in the WSN. The average packet transfer rate increased, the delay was lowered, and energy consumption decreased, but privacy protection is still at risk.…”

Section: Related Workmentioning

confidence: 99%

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MAC Protocol Based IoT Network Intrusion Detection Using Improved Efficient Shuffle Bidirectional COOT Channel Attention Network

Nayak

Bhattacharyya

2023

IEEE Access

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The IoT networks are customized to work under various smart environments, utilizing diverse sensors. However, they are vulnerable to several cyberattacks because of their finite resources and limited computing capabilities. Intruders can easily hack the data transmitted across the end nodes. Therefore, it is crucial to protect the privacy of the IoT network against adversarial attacks. For real-time insights from IoT networks, an appropriate networking protocol is essential. In previous studies, several routing protocols have been formulated for intrusion detection with limited performance. Even the application of advanced machine learning (ML) has shown relatively lower accuracy with an increased error rate. To address these issues, an innovative intrusion detection system (IDS) for IoT networks based on medium access control (MAC) protocols with an improved efficient shuffle bidirectional COOT channel attention network (IEsBCCA-Net) method has been proposed. The suggested system uses the MAC protocol to securely transmit the data with low energy consumption and delay, which provides increased throughput. The collected data is stored in the BoT-IoT dataset, which is imbalanced and balanced using the synthetic minority over-sampling technique (SMOTE) and random under-sampling (RUS) techniques. The data is pre-processed using the reformed histogram equalization method, and the optimal features are selected using the modified honey badger algorithm (MHBA). Finally, the intrusions are classified using the IEsBCCA-Net approach, which provides outstanding accuracy compared to state-of-the-art (SOTA) methods. INDEX TERMSImproved efficient shuffle bidirectional COOT channel attention network, intrusion detection, IoT network, MAC protocol, modified honey badger algorithm. NANAVATH KIRAN SINGH NAYAK was born in Hyderabad, Telangana, India. He received the B.Tech. and M.Tech. degrees in electronics and communication engineering from Jawaharlal

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Section: ) Performance Evaluation Of Mac Protocolmentioning

confidence: 91%

Section: Related Workmentioning

confidence: 99%

MAC Protocol Based IoT Network Intrusion Detection Using Improved Efficient Shuffle Bidirectional COOT Channel Attention Network

Nayak

Bhattacharyya

2023

IEEE Access

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“…In light of the malevolent actions, the implementation of encryption and decryption techniques is proposed as a means to ensure both data authentication and integrity preservation. Consequently, each node possesses the capability to ensure an authenticated route in conjunction with its own presence [24,25]. The next section provides an explanation of the multipath and secure authentication approaches that have been recently introduced.…”

Section: 2mentioning

confidence: 99%

A Comparative Analysis of Energy Consumption in Various Wireless Sensor Network Techniques

Vellaiyan,

2024

Int. Res. J. multidiscip. Technovation

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The objective of this study is to analyze the energy consumption associated with modern methodologies utilized in wireless sensor networks and to conduct a comparative assessment with Reed Solomon (RS) codes. This paper presents three discrete techniques for wireless sensor networks. The strategies mentioned include the Self-Evolving Sensor System (SESS), the Secure and Adaptive Key Management utilizing Multipath Routing Protocol (SAKM-MRP), and the National Instruments Secure Reference-based Data Aggregation (NI-SRDA). A distinct algorithm was developed for each method to examine the energy use. Based on the experimental results, it has been shown that the RS-codes approach consumes a considerably greater quantity of energy compared to the SESS methods, which, in contrast, exhibit a significantly lower energy consumption. When comparing the efficiency of RS-codes and SESS methods, it is observed that the SAKN-MRP technique exhibits a more significant decrease in energy consumption. Compared to the RS-Codes system, the SESS scheme stands out with a significant 45.5% reduction in energy usage at the maximum delivery node. Similarly, the SAKM-MRP scheme showcases an average decrease of 35.7% in energy consumption. Notably, the NI-SRDA scheme achieves an impressive 60% reduction in energy consumption, underscoring its remarkable impact on energy efficiency. In a broader sense, it can be inferred that the NI-SDRA technique holds promise as an energy-efficient solution for wireless sensor networks in comparison to alternative strategies suggested in the current study.

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“…Yang et al [30] addressed the importance and enhancement of security in wireless sensor networks by saving energy, which is a key factor for a dynamic network. To address this challenge, they proposed a trust-aware dynamic routing algorithm based on augmented AODV for secure communication in Wireless Sensor Networks (WSNs) Trust-Aware Dynamic Routing -Extended AODV (TADR-EOADV).…”

Section: Actual State Of the Artmentioning

confidence: 99%

Resilient enhancements of routing protocols in MANET

Baumgartner,

Papaj,

Kurkina

et al. 2024

Peer-to-Peer Netw. Appl.

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Resilient of routing processes is one of the biggest challenges for data transmission in mobile networks without infrastructure. Communication under current routing protocols is through a communication path that, although the shortest, may not perform satisfactorily in terms of resilient. Routing and communication within such a path may take place using nodes that are malicious or inappropriate in the communication process due to malicious or poor technical state. This paper presents a new algorithm for various uses of mobile ad hoc networks not only in edge networks with infrastructure but also with the possibility of being used in the cloud solutions. We have modified decentralized blockchain technology and artificial intelligence using deep learning methods that have been implemented in routing processes. The objective of this algorithm was to select the most resilient communication path from the source to the destination node. Such a communication path selection consisted of selecting the nodes that were most suitable in terms of resilience, where the selection nodes was provided through a network and technical parameters. The key quality of service metrics, throughput, total delay, number of delivered signaling and data packets and the ratio between them were used to evaluate the proposed resilient routing algorithm. Modified resilient routing protocols achieved improvement in all the analyzed parameters compared to the original routing protocols. The improvement in these parameters led to an increase in the resilience of the routing process based on the actual data obtained from each node in the network and previous communications.

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TADR-EAODV: A trust-aware dynamic routing algorithm based on extended AODV protocol for secure communications in wireless sensor networks

Cited by 14 publications

References 36 publications

MAC Protocol Based IoT Network Intrusion Detection Using Improved Efficient Shuffle Bidirectional COOT Channel Attention Network

MAC Protocol Based IoT Network Intrusion Detection Using Improved Efficient Shuffle Bidirectional COOT Channel Attention Network

A Comparative Analysis of Energy Consumption in Various Wireless Sensor Network Techniques

Resilient enhancements of routing protocols in MANET

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