ISSN :XXXX-XXXX
Richard Foster-Fletcher
Adv. Artif. Intell. Mach. Learn., 1 (1):49-60
Richard Foster-Fletcher : MKAI.org
DOI: https://dx.doi.org/10.54364/cybersecurityjournal.2024.1103
Article History: Received on: 27-Apr-24, Accepted on: 30-May-24, Published on: 25-Jun-24
Corresponding Author: Richard Foster-Fletcher
Email: richard@fosterfletcher.com
Citation: Richard Foster-Fletcher (2024). Policy and Societal Implications of Data Science in Cybersecurity: A Comprehensive Review. Adv. Artif. Intell. Mach. Learn., 1 (1 ):49-60
The emergence of data science applications in cybersecurity has had a profound effect on policy frameworks and society. Data science has revolutionised cybersecurity methods by utilising technology such as blockchain and artificial intelligence to enhance data integrity, security and analysis capabilities. Blockchain technology makes distributed transaction processing safe and effective for exchanging data, while artificial intelligence opens up new possibilities for cybersecurity evaluation and information analysis. The integration of cybersecurity with data science strengthens data protection protocols while posing significant ethical, legal and privacy issues.