Radicalization of Airspace Security: Prospects and Botheration of Drone Defense System Technology

Ajakwe, Simeon Okechukwu; Kim, Dong-Seong; Lee, Jae-Min

doi:10.21810/jicw.v6i1.5274

Cited by 4 publications

References 26 publications

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Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics

Ajakwe,

Kim

2024

IET Intelligent Trans Sys

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The use of unmanned aerial vehicles (UAVs) for smart and speedy logistics is still relatively nascent compared to traditional delivery methods. However, it is witnessing sporadic and steady growth due to booming demands, technological advancement, and regulatory support. The intelligence and integrity of UAV systems depend largely on the underlying cognitive and cybersecurity models, which serve as both eyes and brains to perceive and respond to the myriad of scenarios around them. Smart mobility and intelligent logistic ecosystems (SMiLE) are complex and advanced technological networks which are exposed to several issues. The incorporation of UAVs for priority logistics, thereby extending the coverage and capacity of SMiLE, further heightens these vulnerabilities and questions its security, safety, and sustainability. This review scrutinizes the significant security disruptions, smartness dynamics, and sundry developments for the sustainable deployment of UAVs as an aerial logistics‐based vehicle. Using the PRISMA‐SPIDER methodology, 157 articles were selected for quantitative analysis and 20 review articles for qualitative evaluation. Security and safety issues in UAVs cut across all the layers of logistics operations: components, communication, network architecture, navigation, supply chain etc. Expanding the capacity of SMiLE using UAV demands an intentional and incremental convergence‐based integration of an agile explainable artificial framework for reliable and safety‐conscious smart mobility, a scalable and tamperproof blockchain for multi‐factor authentication, and a zero trust cybersecurity paradigm for inclusive enterprise‐based authorization.

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Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics

Ajakwe,

Kim

2024

IET Intelligent Trans Sys

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Analysis of the application of lasers for counter-UAV purposes

Bernatskyi,

Lukashenko,

Siora

et al. 2024

Hist. sci. technol.

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From the dawn of human history, mankind has always made efforts to create more effective tools for combating other creatures, including fellow people. Thus, the utilisation of different species of animals, the creation of new weapons and other means of human progress have always led to new developments, aimed at emulating, replacing or combating these innovations. The development of unmanned aerial vehicles has prompted the need to develop alternative and innovative countermeasures. These methods may range from the usage of interceptor drones to the application of concentrated energy beams. This paper examines the progress and known uses of laser technology in the context of combating unmanned aerial vehicles. In order to deepen and systematize knowledge about the development of laser applications in the military field, a systematic bibliographic analysis of scientific papers and popular publications on the development of both laser technologies and unmanned aerial vehicles over the past century was conducted. The study focused on developments that were built (at least as a prototype) and tested against various unmanned aerial vehicles. The results were then compared with a number of articles that separately focused on the history, prospects, and current issues in the development of laser weapons and unmanned aerial vehicles. At the same time, due to the fact that laser technology is one of the most rapidly and comprehensively developing areas of scientific progress, it was decided to use a periodic classification model, the main criterion of which was the focus of laser technology development on countering unmanned aerial systems. The issue of determining the cause-and-effect relationship that links the development of unmanned aerial vehicle technologies and designs with the shift in the focus of laser weapons development to counteract them was considered. It is noted that, due to the high requirements for human and financial capital, the direction and pace of development of laser weapons depend not only on technological limitations, but also on the vision of military strategy and possible threats at a given time. As a conclusion, a variant of periodization of the history of the development of laser weapons as a means of combating unmanned aerial vehicles was proposed.

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Machine Learning in UAV-Assisted Smart Farming

Ajakwe,

Esomonu,

Deji-Oloruntoba

et al. 2024

Advances in Computational Intelligence and Robotics

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Over the years, economic loss in the agricultural sector has been attributed to the late detection of varying plant diseases due to incongruent detection technologies. With the advent of disruptive technologies and their deployment, such as incorporating artificial intelligence (AI) models into unmanned autonomous vehicles for real-time monitoring, the curtailment of losses and inadvertent waste of agricultural produce can be significantly addressed. This study examines the role of deploying AI models in improving the early and accurate detection of crop lesions for prompt, intuitive, and decisive action to forestall recurrence and guarantee a return on investment to farmers. Furthermore, the chapter established scientific basis for the acceleration of crop yields through allied mechano-biosynthesis in a quest to cushion the effect of the contemporary global food crisis. Connected intelligence in smart farming can be achieved through convergence technology for cost effective agro-allied production by improving the limitations of UAVs and AI-models.

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Radicalization of Airspace Security: Prospects and Botheration of Drone Defense System Technology

Cited by 4 publications

References 26 publications

Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics

Facets of security and safety problems and paradigms for smart aerial mobility and intelligent logistics

Analysis of the application of lasers for counter-UAV purposes

Machine Learning in UAV-Assisted Smart Farming

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