Autors: Tlachenska, E. A., Ivanov, K. I., Nenova, M. V.
Title: AI Algorithms Enhance Threat Detection and Reinforce Data Protection
Keywords: artificial intelligence, security, security of data, security systems

Abstract: Ai is growing with a colossal speed which can't be ignored because Ai operates in numerus business sectors the security of data becomes very important. In old days, the security of data was a concern of big businesses because of the amounts of sensitive information they possess, but now its everyone's interest to protect data. Protecting computer systems from malware is a critical cybersecurity priority for both individual users and businesses, as even a single attack can lead to data breaches and significant losses. The prevalence of severe losses and frequent attacks underscores the necessity for accurate and timely detection methods. Current static and dynamic detection approaches often fall short, particularly in addressing zero-day attacks. Therefore, employing machine learning techniques becomes essential. This paper examines the key aspects and challenges of machine learning-based malware detection, while also exploring feature representation and classification methods for reinforcing data protection.

References

  1. O . A. Aslan and R. Samet, A Comprehensive Review on Malware Detection Approaches, in IEEE Access, vol. 8, pp. 6249-6271, 2020
  2. Siva Karthik Devineni, AI IN DATA PRIVACY AND SECURITY, February 2024, International Journal of Artificial Intelligence and Machine Learning 3(1):35-49
  3. Ng MY, Kapur S, Blizinsky KD, Hernandez-Boussard T. The AI life cycle: A holistic approach to creating ethical AI for health decisions. Nat Med. 2022 Nov;28(11):2247-2249
  4. Hitmi Khalifa Alhitmi, Alin Mardiah, Khalid Ibrahim Al-Sulaiti, Jaffar Abbas, "Data security and privacy concerns of AI-driven marketing in the context of economics and business field: An exploration into possible solutions, " Cogent Business and Management Article: 2393743-Published online: 20 Aug 2024.
  5. Daswin De Silva, Damminda Alahakoon, "An artificial intelligence life cycle: From conception to production, " ScienceDirect Volume 3, Issue 6, 10 June 2022, 100489
  6. Irshaad Jada, Thembekile O. Mayayise, "The impact of artificial intelligence on organisational cyber security: An outcome of a systematic literature review, " Data and Information Management Volume 8, Issue 2, June 2024, 100063
  7. De Hert, P., Papakonstantinou, V., Malgieri, G., Beslay, L., and Sanchez, I. (2018). The right to data portability in the GDPR: Towards user-centric interoperability of digital services. Computer Law and Security Review, 34(2), 193-203.
  8. Timan, T., Mann, Z. (2021). Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies. In: Curry, E., Metzger, A., Zillner, S., Pazzaglia, JC., Garcia Robles, A. (eds) The Elements of Big Data Value. Springer
  9. Juliussen, B.A., Rui, J.P., Johansen, D. (2024). Developing with Compliance in Mind: Addressing Data Protection Law, Cybersecurity Regulation, and AI Regulation During Software Development. In: Bieker, F., de Conca, S., Gruschka, N., Jensen, M., Schiering, I. (eds) Privacy and Identity Management. Sharing in a Digital World. Privacy and Identity 2023. IFIP Advances in Information and Communication Technology, vol 695. Springer
  10. William Villegas-Ch, Joselin Garcia-Ortiz, Toward a Comprehensive Framework for Ensuring Security and Privacy in Artificial Intelligence, MDPI Published: 7 September 2023
  11. Jawaid, Syed Adnan. (2023). Artificial Intelligence with Respect to Cyber Security. Journal of Advances in Artificial Intelligence. 1. 96-102. 10.18178/JAAI.2023.1.2.96-102.
  12. Mohammad Binhammad, Shaikha Alqaydi, Azzam Othman, Laila Hatim Abuljadayel"The Role of AI in Cyber Security: Safeguarding Digital Identity, " Journal of Information Security . Vol. 15 No. 2, April 2024
  13. Priyank Singhal, Nataasha Raul"Malware Detection Module using Machine Learning Algorithms to Assist in Centralized Security in Enterprise Networks, " International Journal of Network Security & Its Applications (IJNSA), Vol. 4, No. 1, January 2012
  14. Olaniyi Abiodun Ayeni"A Supervised Machine Learning Algorithm for Detecting Malware, " Journal of Internet Technology and Secured Transactions (JITST), Volume 10, Issue 1, 2022
  15. Adib Bin Rashid, MD Ashfakul Karim Kausik"AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications, " ScienceDirect Hybrid Advances Volume 7, December 2024, 100277
  16. Christian Meurisch, Max Muhlhauser, "Data Protection in AI Services: A Survey, " ACM Computing Surveys (CSUR), Volume 54, Issue 2 Article No. : 40, Pages 1-38
  17. Sudesh kumar, Shersingh, Siddhant kumar, Karan verma"Malware Classification Using Machine Learning Models, " ScienceDirect Procedia Computer Science 235 (2024) 1419-1428
  18. Lorena Espina-Romero, Jose Gregorio Norono Sanchez, Humberto Gutierrez Hurtado, Helga Dworaczek Conde, Yessenia Solier Castro, Luz Emerita Cervera Cajo, Jose Rio Corredoira"Which Industrial Sectors Are Affected by Artificial Intelligence? A Bibliometric Analysis of Trends and Perspectives, " MDPI Sustainability 2023, 15(16), Published: 9 August 2023
  19. Agarkar, Sanket and Ghosh, Soma. (2020). Malware Detection and Classification using Machine Learning. 1-6. 10.1109

Issue

National Conference with International Participation, TELECOM, 2024, , https://doi.org/10.1109/TELECOM63374.2024.10812229

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus