Artificial Intelligence, Cyber Security and Vedic Scripture Approaches for Sustainable Consumption in Global Food Legislature Perspective

This research paper investigates the crossing point of artificial intelligence (AI) and cybersecurity within the setting of sustainable consumption. Sustainable consumption practices are crucial for tending to natural challenges and advancing a more sustainable future. In any case, the expanding dependence on computerized advances and interconnected frameworks in sustainable utilization presents unused cybersecurity dangers and dangers. This paper analyzes how AI can be utilized to improve cybersecurity measures and back sustainable utilization activities. It investigates AI-driven approaches such as information analytics, machine learning, and behavioral modeling to reinforce cybersecurity guards, ensure individual information, distinguish and avoid cyber dangers, and cultivate believe and certainty in advanced stages. The paper too examines the moral contemplations and challenges related with the utilize of AI in cybersecurity for sustainable utilization. Through an examination of existing inquire about and case thinks about, this paper gives experiences into the potential benefits and confinements of joining AI and cybersecurity in sustainable consumption and production. The discoveries contribute to the understanding of the part of AI in guaranteeing the security and flexibility of sustainable consumption frameworks and give proposals for future investigate and usage procedures. Eventually, the paper highlights the significance of grasping AI-driven cybersecurity approaches to back and progress sustainable consumption objectives whereas relieving cybersecurity risks.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1109/iccpct61902.2024.10672760
Citations
2
Primary Topic
Food Waste Reduction and Sustainability
Type
article
Field-Weighted Citation Impact
0.70
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article

Artificial Intelligence, Cyber Security and Vedic Scripture Approaches for Sustainable Consumption in Global Food Legislature Perspective

Ranu Tyagi, Yunika Kadayat, Sachin Sharma
2 citations
Food Waste Reduction and Sustainability
0.70
article

Artificial Intelligence, Cyber Security and Vedic Scripture Approaches for Sustainable Consumption in Global Food Legislature Perspective

Ranu Tyagi, Yunika Kadayat, Sachin Sharma
article en
2 citations

Abstract

This research paper investigates the crossing point of artificial intelligence (AI) and cybersecurity within the setting of sustainable consumption. Sustainable consumption practices are crucial for tending to natural challenges and advancing a more sustainable future. In any case, the expanding dependence on computerized advances and interconnected frameworks in sustainable utilization presents unused cybersecurity dangers and dangers. This paper analyzes how AI can be utilized to improve cybersecurity measures and back sustainable utilization activities. It investigates AI-driven approaches such as information analytics, machine learning, and behavioral modeling to reinforce cybersecurity guards, ensure individual information, distinguish and avoid cyber dangers, and cultivate believe and certainty in advanced stages. The paper too examines the moral contemplations and challenges related with the utilize of AI in cybersecurity for sustainable utilization. Through an examination of existing inquire about and case thinks about, this paper gives experiences into the potential benefits and confinements of joining AI and cybersecurity in sustainable consumption and production. The discoveries contribute to the understanding of the part of AI in guaranteeing the security and flexibility of sustainable consumption frameworks and give proposals for future investigate and usage procedures. Eventually, the paper highlights the significance of grasping AI-driven cybersecurity approaches to back and progress sustainable consumption objectives whereas relieving cybersecurity risks.

Graphic Era University (IN)
Zero hunger
Openalex Percentile: Top 27%
Food Waste Reduction and Sustainability
0.70
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