--- Artificial Intelligence/Machine Learning Challenges and Evolution
Author(s): ŞCHEAU, Mircea Constantin; ARSENE, Adrian Liviu; POPESCU, Gabriel
Author(s) keywords: authentication, cloud computing, cryptocurrencies, cybercrime, governance, regulations, vulnerabilities
Reference keywords: cybercrime, data encryption, system vulnerability
Abstract:
For 2018, one of the big challenges is the construction of security systems based on AI. However, it should take time and considerable resources to verify the effect of technologies involving machine learning and driving patterns. We can say that these structures are, conceptually, a computerized replica of their developers. While the trend is interesting, it does not provide any real guarantee as long as the same steps can be performed by criminals. The two armies faced in the virtual environment are in a continuous arms race, as faithful copies of their creators. Even if efforts seem to be hampered by the dynamics of the criminal spectrum, they are necessary precisely because of their mobility. Malware and ransomware attacks have targeted disparate and seemingly unrelated targets, globally. Condensing huge amounts of data at certain points or in mega-cloud spaces offers management advantages, but it can also be the premise of future offensive, not at all desirable. The confrontation engages the brightest minds on the planet, from both camps.
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Article Title: Artificial Intelligence/Machine Learning Challenges and Evolution
Author(s): ŞCHEAU, Mircea Constantin; ARSENE, Adrian Liviu; POPESCU, Gabriel
Date of Publication: 2018-06-29
Publication: International Journal of Information Security and Cybercrime
ISSN: 2285-9225 e-ISSN: 2286-0096
Digital Object Identifier: 10.19107/IJISC.2018.01.01
Issue: Volume 7, Issue 1, Year 2018
Section: Advances in Information Security Research
Page Range: 11-22 (12 pages)
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