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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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Published Paper Details:
Addressing Contemporary Cybercrimes Using Random Forest Machine Learning Technique
Authors
P.Srinu VasaRao,Moka Michael,Medidi Charan Siva Sanjay,Katam Sumanth Kumar,Kukkala Stephen
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Keywords
Cyber Crimes,Phishing, Ransomware,Malware, Financial fraud, Morphing, Network security, Media Impact
Abstract
As the digital landscape continues to evolve rapidly, the prevalence and sophistication of cybercrimes have become formidable challenges in contemporary society. This abstract delves into the current state of cybercrimes, elucidating their multifaceted nature and the pressing need for comprehensive strategies to overcome these threats. The discussion encompasses various forms of cybercrimes, including but not limited to phishing, ransomware , identity theft, and financial fraud, emphasizing their pervasive impact on individuals, businesses, and governments. The first part of the abstract explores the dynamic nature of cyber threats, analyzing the tactics employed by cybercriminals and their ability to exploit vulnerabilities in technological infrastructures.
It highlights the increasing interconnectedness of the digital world, presenting a scenario where the rapid proliferation of Internet of Things (IoT) devices and cloud technologies intensifies the cyber risk landscape. In addressing these challenges, the second part of the abstract outlines a multifaceted approach to overcoming cybercrimes. It emphasizes the importance of technological advancements such as artificial intelligence, machine learning, and blockchain in fortifying cybersecurity defenses.
Additionally, collaboration among governments, private sectors, and international organizations is explored as a crucial aspect of creating a united front against cyber threats. Legal frameworks and international treaties are examined to underscore the need for cohesive and standardized responses to cybercrimes across borders. The third and final part of the abstract delves into the imperative of developing public awareness and education programs to empower individuals and organizations in recognizing and mitigating cyber risks.
It explores the role of media, educational institutions, and cybersecurity advocacy groups in disseminating information about cyber hygiene, safe online practices, and the implications of cybercrimes. The abstract also underscores the significance of fostering a cybersecurity culture that promotes vigilance and proactive
measures against potential threats. In conclusion, this abstract provides a comprehensive overview of the current landscape of cybercrimes, offering insights into strategies to overcome these challenges and advocating for the development of widespread awareness. It emphasizes the urgency of collaborative efforts on both technological and societal fronts to build a resilient defense against the evolving threats posed by cybercriminals.
IJCRT's Publication Details
Unique Identification Number - IJCRT2402796
Paper ID - 252052
Author type - Indian Author
Page Number(s) - g765-g774
Pubished in - Volume 12 | Issue 2 | February 2024
DOI (Digital Object Identifier) -
No Of Downloads - 35
Author Country - India, 534275, Narsapuram, Narsapuram, 534275, Science All
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P.Srinu VasaRao,Moka Michael,Medidi Charan Siva Sanjay,Katam Sumanth Kumar,Kukkala Stephen, "Addressing Contemporary Cybercrimes Using Random Forest Machine Learning Technique", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 2, pp.g765-g774, February 2024, Available at :http://www.ijcrt.org/papers/IJCRT2402796.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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