Applications of artificial intelligence in cyber security
Pragya Vaishnavpragya.vaishnav@jaipur.manipal.eduDepartment of Computer Applications Manipal University JaipurDepartment of Computer Applications Manipal University Jaipur Jaipur, Rajasthan, 303007, IndiaView full profile → , Linesh Rajalinesh.raja@jaipur.manipal.eduDepartment of Computer Applications Manipal University JaipurDepartment of Computer Applications Manipal University Jaipur Jaipur, Rajasthan, 303007, IndiaView full profile → , *Poonam SinghCorresponding authorpoonam.singh@jaipur.manipal.eduDepartment of Computer Applications Manipal University JaipurJaipur, Rajasthan, 221005, IndiaView full profile → , Swapnali Tandelswapnali.tandel22@gmail.comDepartment of B.Sc. Computer Science and Information Technology Nagindas Khandwala College MaladMumbai, Maharashtra, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 26 Jun 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-1991
- Pages:
- 1367–1375
Abstract
Keywords
Subject Classifications
References
[1] A. Bécue, I. Praça, and J. Gama, “Artificial Intelligence, cyber-threats and Industry 4.0: Challenges and opportunities,” Artificial Intelligence Review, vol. 54, no. 5, pp. 3849–3886 (2021).
[2] A. Chakraborty, A. Biswas, and A. Khan, “Artificial Intelligence for Cybersecurity: Threats, Attacks and Mitigation” [Online]. Available: https://arxiv.org/pdf/2209.13454.pdf.
[3] C. Islam, M. A. Babar, R. Croft, and H. Janicke, “SmartValidator: A framework for automatic identification and classification of cyber threat data,” Journal of Network and Computer Applications, vol. 202, p. 103370, Jun. (2022), doi: 10.1016/j.jnca.2022.103370.
[4] D. A. Shamiulla*, “Role of artificial intelligence in cyber security,” International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 1, pp. 4628–4630 (2019).
[5] D. Gibert, C. Mateu, and J. Planes, “The rise of machine learning for detection and classification of malware: Research developments, trends and challenges,” Journal of Network and Computer Applications, vol. 153, p. 102526 (2020).
[6] D. Gibert, J. Planes, C. Mateu, and Q. Le, “Fusing feature engineering and Deep Learning: A Case Study for malware classification,” Expert Systems with Applications, vol. 207, p. 117957 (2022).
[7] G. Aceto, D. Ciuonzo, A. Montieri, and A. Pescapé, “Distiller: Encrypted traffic classification via Multimodal Multitask Deep Learning,” Journal of Network and Computer Applications, vol. 183-184, p. 102985 (2021).
[8] G. Wang, J. Hao, J. Ma, and L. Huang, “A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering,” Expert Systems with Applications, vol. 37, no. 9, pp. 6225–6232, Sep. (2010), doi: 10.1016/j.eswa.2010.02.102.
[9] J.-hua Li, “Cyber Security Meets Artificial Intelligence: A survey,” Frontiers of Information Technology & Electronic Engineering, vol. 19, no. 12, pp. 1462–1474 (2018).
[10] L. F. Carvalho, T. Abrão, L. de Mendes, and M. L. Proença, “An ecosystem for anomaly detection and mitigation in software-defined networking,” Expert Systems with Applications, vol. 104, pp. 121–133 (2018).
[11] M. Abdullahi et al., “Detecting Cybersecurity Attacks in Internet of Things Using Artificial Intelligence Methods: A Systematic Literature Review,” Electronics, vol. 11, no. 2, p. 198, Jan. (2022), doi: 10.3390/electronics11020198.
[12] Kumar, Ankit, et al. “An improved quantum key distribution protocol for verification.” Journal of Discrete Mathematical Sciences and Cryptography 22.4 : 491-498 (2019).
[13] N. N. Abbas, T. Ahmed, S. H. Shah, M. Omar, and H. W. Park, “Investigating the applications of Artificial Intelligence in cyber security,” Scientometrics, vol. 121, no. 2, pp. 1189–1211 (2019).
[14] R. Trifonov, O. Nakov, and V. Mladenov, “Artificial Intelligence in cyber threats intelligence,” 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC), (2018).
[15] Kumar, Ankit, et al. “An enhanced quantum key distribution protocol for security authentication.” Journal of Discrete Mathematical Sciences and Cryptography 22.4 : 499-507 (2019).
[16] Z. Zhang, H. Ning, F. Shi, F. Farha, Y. Xu, J. Xu, F. Zhang, and K.-K. R. Choo, “Artificial Intelligence in cyber security: Research advances, challenges, and opportunities,” Artificial Intelligence Review, vol. 55, no. 2, pp. 1029–1053 (2021).
