Achieving efficient energy-aware security in IoT networks: a survey of recent solutions and research challenges

Mahamat, Michaël; Jaber, Ghada; Bouabdallah, Abdelmadjid

doi:10.1007/s11276-022-03170-y

Cited by 14 publications

(7 citation statements)

References 108 publications

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“…The proposed model results are only tested with the k-Nearest Neighbors method with five neighbors. The results in Table (4) show that the highest accuracy value was 0.978. The proposed model's results were also tested using only the k-Nearest Neighbors method with seven neighbors, yielding a maximum accuracy value of 0.965.…”

Section: Source Locationmentioning

confidence: 98%

“…Therefore, this function is unable to exert strong forces between two grasshoppers that are far apart. To address this issue, the distance between two grasshoppers is mapped to the interval [1,4]. The shape of the function S in this interval is illustrated in Figure 1).…”

Section: Gao Optimization Algorithmmentioning

confidence: 99%

“…In these results, the highest accuracy value was 0.964. The results are shown in Table (4). The proposed model results are only tested with the k-Nearest Neighbors method with five neighbors.…”

Section: Source Locationmentioning

confidence: 99%

“…-Updating parameter using formula (7). -Normalizing the distance between grasshoppers in the range [1,4].…”

mentioning

confidence: 99%

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Improvement of intrusion detection in IoT Networks using a hybrid Machine and Metaheuristic Algorithm

Rahmani,

Arefi,

Seyyed Shojae

et al. 2024

Preprint

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In recent years, extensive research has been conducted on the IoT, one of its challenges has been the field security and penetration in these networks. security solutions it Require more planning and awareness to ensure system security and privacy protection.it has also been shown that adjusting the weights of neural networks can help improve the accuracy of detection to what extent. the challenge in the attack detection field is to increase the accuracy of attack detection by machine learning methods, in this paper, a new method is presented to adjust weights of the random neural network for attack detection. Evaluations of the proposed method show that compared to random neural network methods, nearest neighbor, and support vector machine, the accuracy of attack detection improves up to 99.49 percent, and the random neural network method has been able to improve by 99.01 percent, placing the best methods together in these experiments in the form of a multi-learning model showed that the results also had an increase in accuracy up to 99.56 percent, while the training time in the proposed model is less compared to the random neural network method.

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Section: Source Locationmentioning

confidence: 98%

Section: Gao Optimization Algorithmmentioning

confidence: 99%

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Improvement of intrusion detection in IoT Networks using a hybrid Machine and Metaheuristic Algorithm

Rahmani,

Arefi,

Seyyed Shojae

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Energetic control administration calculations will be concocted to adaptively alter the control states of sensor hubs based on their operational necessities [20]. This will include sleep planning calculations to play down idle control utilization and wake-up planning methodologies to synchronize hub exercises.…”

Section: Power Management Strategiesmentioning

confidence: 99%

Enhancing Security and Energy Efficiency in Wireless Sensor Networks for IoT Applications

Aqeel

2024

jes

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Wireless Sensor Networks (WSNs) are fundamental components within the Internet of Things (IoT) scene, empowering information collection and transmission in different applications. This research papers on upgrading the security and vitality effectiveness of WSNs for ideal IoT usefulness. Novel strategies were created and assessed to address these vital perspectives. Security improvements included the usage of lightweight cryptographic calculations, intrusion detection systems (IDS), and secure directing conventions. These measures essentially reinforced organized strength against cyber dangers, with interruption discovery rates surpassing 95% and secure steering conventions accomplishing a strength score of over 97%. Vitality productivity optimizations enveloped communication convention improvements, information accumulation strategies, and energetic control administration methodologies. These procedures come about in outstanding decreases in vitality utilization, with optimized conventions diminishing vitality utilization by up to 30% and information conglomeration techniques yielding vitality reserve funds of up to 50%. Test assessments were conducted utilizing both simulation-based approaches and real-world organizations. Recreation comes about, obtained utilizing NS-3, showcasing the viability of the proposed strategies over different network topologies, activity designs, and attack scenarios. Real-world experimentation employing a WSN testbed approved the viable achievability and viability of the techniques. Comparative investigations with existing writing highlighted the oddity and importance of the commitments, checking considerable progressions in WSN security and vitality proficiency.

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Security and privacy in IoT-based Smart Farming: a review

Ali,

Bukhari,

Adnan

et al. 2024

Multimed Tools Appl

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Achieving efficient energy-aware security in IoT networks: a survey of recent solutions and research challenges

Cited by 14 publications

References 108 publications

Improvement of intrusion detection in IoT Networks using a hybrid Machine and Metaheuristic Algorithm

Improvement of intrusion detection in IoT Networks using a hybrid Machine and Metaheuristic Algorithm

Enhancing Security and Energy Efficiency in Wireless Sensor Networks for IoT Applications

Security and privacy in IoT-based Smart Farming: a review

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