Prediction of android ransomware with deep learning model using hybrid cryptography.

Autor: Kalphana KR; Department of Agricultural Engineering, Mahendra Engineering College, Namakkal, Tamil Nadu, 637503, India., Aanjankumar S; School of Computing Science and Engineering (SCOPE), VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Sehore, Madhya Pradesh, 466114, India., Surya M; Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India., Ramadevi MS; Department of Computer Science and Engineering, Mount Zion College of Engineering and Technology, Pudukkottai, India., Ramela KR; Department of Electrical and Electronics Engineering, Ultra College of Engineering and Technology, Madurai, India., Anitha T; Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India., Nagaprasad N; Department of Mechanical Engineering, ULTRA College of Engineering and Technology, Madurai, Tamil Nadu, 625104, India., Krishnaraj R; Department of Mechanical Engineering, College of Technology and Engineering, Dambi Dollo University, Dembi Dolo, Ethiopia. prof.dr.krishnaraj@dadu.edu.et.; Center for Global Health Research, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India. prof.dr.krishnaraj@dadu.edu.et.

Publikováno v: Scientific reports [Sci Rep] 2024 Sep 27; Vol. 14 (1), pp. 22351. Date of Electronic Publication: 2024 Sep 27.