Assorted Aspects and Implementation Patterns of Artificial Intelligence to Reduce Cyber Crimes
Assorted Aspects and Implementation Patterns of Artificial Intelligence to Reduce Cyber Crimes
DOI:
https://doi.org/10.31185/wjcm.86Keywords:
Adoption of A.I. in Reducing Cyber Crimes, Cyber Crime, Avoidance of Cyber Crimes using A.I. ApproachesAbstract
Cyber crime was a major problem even before the epidemic, and it skyrocketed as the globe became increasingly digital after the pandemic began. It is crucial to think about how to make the web safer in the post-pandemic period, since the number of cyber scams is rising rapidly. With more people doing remote work and more people quickly embracing new technology, as well as with decreased monitoring and controls, hackers have more opportunities to attack weaknesses in the system. Individuals and businesses were rendered more vulnerable to cyber fraud as a result of each of these developments brought on by the epidemic. Since cybercriminals are just as technically savvy as their cyber security counterparts, a lot of effort and money must be spent on prevention. Professionals in the field of cyber security and cybercriminals nowadays share many of the same skills and use many of the same tools. Both cyber security experts and cybercriminals rely on them, but the former to protect their systems from the latter.
References
2021. https://www.technologyreview.com/2021/01/21/1016460/transforming-the-energy-industry-with-ai/.
2020. https://www.nytimes.com/2020/09/18/world/europe/cyber-attack-germany-ransomeware-death.html.
R. Prakarsh and Khanna, “Artificial Intelligence and Cyber crime- A curate’s Egg”, Medium,” 2020. https://medium.com/the- %C3%B3pinion/artificial-intelligence-and-Cybercrime-a-curates-egg-2dbaee833be1.
“The Dark Side of Latin America: Cryptocurrency, Cartels, Carding and the Rise of Cyber crime, 6,” 2020. https://www.ozy.com/the-new-andthe-next/the-next-el-chapo-might-strike-your-smartphone-and-bank/273903/.
“When Artificial Intelligence goes awry: separating science fiction from fact”, without publication date.” https://resources.malwarebytes.com/files/2019/06/Labs-Report-AI-gone-awry.pdf.
S. Energy, “Managed Detection and Response Service,” 2020. https://assets.siemens energy.com/siemens/assets/api/uuid:a95b9cd3-9f4d-4a54- 8c43-77fbdb6f418f/mdr-white-paper-double-sided-200930.pdf.
“Automated racism: How tech can entrench bias,” POLITICO, 2021.
“For a discussion on discrimination caused by algorithmic decision making on AI, see ZUIDERVEEN BORGESIUS, Frederik, “Discrimination, Artificial Intelligence and Algorithmic decision making”. Paper published by the Directorate General of Democracy of the Council of Europe,” 2018. https://rm.coe.int/discrimination-artificial-intelligence-and-algorithmic-decision-making/1680925d73.
“See the Special Report on Facial Recognition of the Center for AI and Digital Policy (CAIDP) that contains a summary of key references on this topic contained in the 2020 Report on Artificial Intelligence and Democratic Values/ The AI Social Contract Index 2020 prepared by CAIDP,” 2020. https://caidp.dukakis.org/aisci-2020/.
“the European Parliament adopted a resolution to ban the use facial recognition technologies in public spaces by law enforcementauthorities to ensure the protection of fundamental rights. See European Parliament,” 2021. https://www.europarl.europa.eu/news/en/pressroom/20210930IPR13925/use-of-artificial-intelligence-by-the-police-meps-oppose mass-surveillance.
“What are ‘bots’ and how can they spread fake news.” https://www.bbc.co.uk/bitesize/articles/zjhg47h.
“Fake News is Rampant, Here is How Artificial Intelligence Can Help,” FORBES, 2021.
“For a general review of policy implications in the UK concerning the use of AI and content moderation, see Cambridge Consultants, “Use of AI in Online Content Moderation,” Report produced on behalf of OFCOM, 2019
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Prof. Dr. M . Randles
This work is licensed under a Creative Commons Attribution 4.0 International License.
