Internet of Things (IoT) Based Bio-inspired Artificial Intelligent Technique to Combat Cybercrimes: A Review

Balasaraswathi, M.; Sivasankaran, V.; Akshaya, N.; Baskar, Radhika; Suganya, E.

doi:10.1007/978-3-030-34328-6_9

Cited by 5 publications

(7 citation statements)

References 25 publications

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“…Bio-inspired IoT systems can scale easily due to the decentralized nature of biological systems. They can handle a large number of devices and data without compromising efficiency [ 23 , 24 , 25 ]. In this regard, bio-inspired IoT algorithms, such as swarm intelligence [ 9 , 20 ], enable efficient scalability in IoT systems by leveraging collective intelligence and self-organization, allowing devices to interact and cooperate locally.…”

Section: Bio-inspired Iotmentioning

confidence: 99%

“…In general, they optimize energy consumption, adjust resource usage based on demand, and enable energy-harvesting techniques [ 39 ]. This focus on energy efficiency leads to sustainability, longer device battery life, and reduced environmental impact [ 23 , 24 , 25 ].…”

Section: Bio-inspired Iotmentioning

confidence: 99%

“…Overall, the IoT is transforming industries and revolutionizing the way we live and work. However, even though IoT is a fast-growing technology, it is still in its infancy, and it will take years to become a stable technology [ 21 , 22 , 23 , 24 , 25 ]. As such, there are several drawbacks and challenges associated with the incorporation and implementation of the IoT (depicted in Figure 2 ), which are categorized and highlighted further in the following.…”

Section: Introductionmentioning

confidence: 99%

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Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Alabdulatif,

Thilakarathne

2023

Biomimetics

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There is no doubt that the involvement of the Internet of Things (IoT) in our daily lives has changed the way we live and interact as a global community, as IoT enables intercommunication of digital objects around us, creating a pervasive environment. As of now, this IoT is found in almost every domain that is vital for human survival, such as agriculture, medical care, transportation, the military, and so on. Day by day, various IoT solutions are introduced to the market by manufacturers towards making our life easier and more comfortable. On the other hand, even though IoT now holds a key place in our lives, the IoT ecosystem has various limitations in efficiency, scalability, and adaptability. As such, biomimicry, which involves imitating the systems found in nature within human-made systems, appeared to be a potential remedy to overcome such challenges pertaining to IoT, which can also be referred to as bio-inspired IoT. In the simplest terms, bio-inspired IoT combines nature-inspired principles and IoT to create more efficient and adaptive IoT solutions, that can overcome most of the inherent challenges pertaining to traditional IoT. It is based on the idea that nature has already solved many challenging problems and that, by studying and mimicking biological systems, we might develop better IoT systems. As of now, this concept of bio-inspired IoT is applied to various fields such as medical care, transportation, cyber-security, agriculture, and so on. However, it is noted that only a few studies have been carried out on this new concept, explaining how these bio-inspired concepts are integrated with IoT. Thus, to fill in the gap, in this study, we provide a brief review of bio-inspired IoT, highlighting how it came into play, its ecosystem, its latest status, benefits, challenges, and future directions.

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Section: Bio-inspired Iotmentioning

confidence: 99%

Section: Bio-inspired Iotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Alabdulatif,

Thilakarathne

2023

Biomimetics

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“…Bioinspired algorithms are used in many applications such as the Internet of Things [18], image processing [19], agriculture [20], healthcare [21], and security [22]. Recently, these algorithms have provided effective solutions regarding routing, safety, and efficient parking for vehicular networks.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Harris Hawks Optimization Based Cluster Optimization Scheme for VANETs

et al. 2022

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In recent years, intelligent vehicles with cutting-edge vehicular applications have grown in popularity, enabling the growth of Vehicular Ad hoc Networks (VANETs). Vehicular Ad hoc Networks (VANETs) are a network of vehicles that share and analyze real-time data and require a well-organized and efficient data delivery method. The stability of clusters and dynamic topology change in VANETs are the major issues in finding an optimal route amongst the vehicles. The cooperative approach and surprise pounce chasing technique of Harris Hawks in nature serve as the main sources of inspiration for Harris Hawks Optimization. In this technique, several hawks work together to attack a victim from various angles to surprise it. Due to the unpredictable nature of situations and the prey’s fleeing movements, Harris Hawks can exhibit a variety of intelligent strategies. This study proposes a novel route clustering optimization technique that takes into account communication range, the number of nodes, velocity, orientations, and grid size. To create and evaluate ideal cluster head (CH), the proposed method is based on Harris Hawks Intelligent Optimization Algorithm for route Clustering (iCHHO) which finds optimal and reliable routes amongst the vehicles. Other state-of-the-art methods, such as the Grasshopper Optimization Algorithm (GOA), Gray Wolf Optimization (GWO), and Whale Optimization Algorithm (WOACNET), are utilized to evaluate and validate the proposed method. Our findings show that the developed method outperforms other current methods in terms of number of clusters, variable communication ranges, network size, and the number of vehicles. Furthermore, the statistical analysis concludes that the proposed method improves cluster optimization by 79% and increases cluster stability by an adjusted R -squared of 91.22.

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“…Nature‐inspired algorithms have wide applications in numerous sectors like healthcare, 93 agriculture, 94 security, 95 IoT, 96 and image processing 97 for tasks related to optimization and finding the best optimal solution. In this section, the focus is on the applicability of nature‐inspired algorithms in IoV.…”

Section: Applicability Of Nature‐inspired Algorithms In Iovmentioning

confidence: 99%

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

Sharma

Kaushik

2021

Int J Communication

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The concept of the Internet of Vehicles (IoV) was evolved to cater to the increasing demands of emerging and advanced vehicular applications such as intelligent transportation systems (ITS). IoV plays a vital role in the development of smart cities and smart transportation. As IoV involves real-time data, so efficient routing mechanisms, as well as secure protocols, are very much needed to enhance the efficiency and security of the IoV network. In the existing literature, numerous researchers have focused on enhancing the efficiency of the IoV network. However, there still exist some flaws keeping in view the new security vulnerabilities that keep on emerging. So, there is a need to optimize the capabilities of existing frameworks for dealing with such issues.Nature-inspired algorithms are a category of powerful tools to solve problems of optimization. In this first of its kind state-of-the-art study, the potential of applicability of nature-inspired algorithms in IoV networks for improving the overall performance of IoV is explored. First, various categories of natureinspired algorithms are presented to make the readers well acquainted with the concepts of nature-inspired algorithms. Different nature-inspired algorithms having their applicability in different aspects of IoV are studied with a special focus on security, routing, and parking space management for strengthening the existing IoV network. Various open issues and research challenges in the use of different nature-inspired algorithms in IoV are also presented. Based upon the study conducted, it has been analyzed that natureinspired algorithms can optimize the overall performance of IoV networks.

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Internet of Things (IoT) Based Bio-inspired Artificial Intelligent Technique to Combat Cybercrimes: A Review

Cited by 5 publications

References 25 publications

Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions

An Intelligent Harris Hawks Optimization Based Cluster Optimization Scheme for VANETs

A survey on nature‐inspired algorithms and its applications in the Internet of Vehicles

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