ARTIFICIAL INTELLIGENCE FOR CYBERSECURITY: IMPACT, LIMITATIONS AND FUTURE RESEARCH DIRECTIONS
Paper Title: ARTIFICIAL INTELLIGENCE FOR CYBERSECURITY: IMPACT, LIMITATIONS AND FUTURE RESEARCH DIRECTIONS
Authors Name: Sunriz Islam , Md. Abul Hayat , Md. Fokhray Hossain
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Author Reg. ID: JETNR_230127
Published Paper Id: JETNR2312037
Published In: Volume 1 Issue 12, December-2023
DOI: https://doi.org/10.5281/zenodo.10448268
Abstract: Artificial intelligence (AI) is an effective technology that cybersecurity teams may use to better the security posture against a variety of security challenges and cyberattacks. AI helps these teams automate repetitive processes, faster threat detection and response, and improve the accuracy of their actions. This study explores the complex relationship between cybersecurity awareness and AI, examining the potential benefits and drawbacks of using AI to support cybersecurity awareness campaigns. This study paper seeks to offer a thorough grasp of the impact of AI on cybersecurity awareness by a detailed examination of current advancements, case studies, and professional viewpoints.
Keywords: Cyberattacks, Cyber security Awareness, Internet of Things (IoT), IoT Data Security, IoT Data Security, Cybersecurity Education, Cyber Threats, Cybersecurity Policy.
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Page No: a297-a319
Country: Dhaka, Dhaka, Bangladesh
Research Area: Science and Technology
Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2312037
Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2312037
ISSN:
2984-9276 | IMPACT FACTOR: 8.27 Calculated By Google Scholar| ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.27 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication)
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