Publisher
Springer Nature Singapore
Reference20 articles.
1. Kumar A, Abhishek K, Shah K, Patel D, Jain Y, Chheda H, Nerurkar P (2020) Malware detection using machine learning. In: Iberoamerican knowledge graphs and semantic web conference. Springer, pp 61–71
2. Ham HS, Choi MJ (2013) Analysis of android malware detection performance using machine learning classifiers. In: 2013 international conference on ICT convergence (ICTC). IEEE, pp 490–495
3. Meng G, Xue Y, Mahinthan C, Narayanan A, Liu Y, Zhang J, Chen T (2016) Mystique: evolving android malware for auditing anti-malware tools. In: Proceedings of the 11th ACM on Asia conference on computer and communications security, pp 365–376
4. Sathyanarayan V, Kohli P, Bezawada B (2008) Signature generation and detection of malware families, vol 5107, pp 336–349
5. Chakraborty P, Yousuf MA, Rahman S (2021) Predicting level of visual focus of human’s attention using machine learning approaches. In: Kaiser MS, Bandyopadhyay A, Mahmud M, Ray K (eds) Proceedings of International Conference on Trends in Computational and Cognitive Engineering. Adv Intell Syst Comput 1309. Springer,
Singapore. https://doi.org/10.1007/978-981-33-4673-4_56