Search Journal of Discrete Mathematical Sciences and Cryptography
141 results found
Leveraging ensemble learning for enhanced security in credit card transaction fraudulent within smart cities for cybersecurity challenges
Bharat Kumar Padhi, Sujata Chakravarty, Bighnaraj Naik, Soumya Ranjan Nayak, Ramesh Chandra Poonia
Jun 2024
Convolutional-based variational autoencoders for face privacy protection in video surveillance
Mallepogu Sivalakshmi, K. Rajendra Prasad, C. Shoba Bindu
Jun 2024
Unleashing a cascade of machine learning for turbocharged sequence alignment in discrete mathematical sciences using GPU
Karamjeet Kaur, Sudeshna Chakraborty, Anil Kumar Sagar
Jun 2024
A novel chaotic map partially blind signature scheme based on quadratic residue problems
Mohammad Alaroud, Nedal Tahat, A. K. Alomari, Obaida M. Al-hazaimeh
May 2024
Measuring network security in the cloud : A roadmap for proactive defense
Anjani Kumar Singha, Shakti Kundu, Harsh Pratap Singh, Lokendra Singh Songare, Pradeep Kumar Tiwari
Apr 2024
Security-aware analytical framework : A mathematical model and machine learning for dynamical system control in secure environments
Jaya Chandwani, Gauri Dhopavkar, Manjusha Tatiya, Nitin Chakole, Shailesh V. Kulkarni, Nilesh Shelke
Apr 2024
Machine intelligence security : A methodological blend of fuzzy logic in industry 4.0 algorithms
P. Srilatha, Shailesh P. Bendale, Monisha Singh, Nitin Chakole, Girish M. Dhote, Nilesh Shelke
Apr 2024
Discrete mathematical models for enhancing cybersecurity : A mathematical and statistical analysis of machine learning approaches in phishing attack detection
Dinesh Goyal, Farhan Sheth, Priya Mathur, Amit Kumar Gupta
Apr 2024
Balancing innovation and privacy : A machine learning perspective
Utsav Upadhyay, Alok Kumar, Satyabrata Roy, Umashankar Rawat
Apr 2024
Exploring elliptic geometry in neural networks : The concept of elliptic neural networks (ENN)
Vivek Kumar Verma, Bhavna Saini, Anju Yadav, Pankaj Dadheech
Apr 2024
Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training
Ganga Rama Koteswara Rao, Hayder M. A. Ghanimi, V. Ramachandran, Dokhyl Al-Qahtani, Pankaj Dadheech, Sudhakar Sengan
Apr 2024
Secure multi-party computation in deep learning : Enhancing privacy in distributed neural networks
P. Vidya Sagar, Hayder M. A. Ghanimi, L. Arokia Jesu Prabhu, L. Raja, Pankaj Dadheech, Sudhakar Sengan
Apr 2024
