Applications and Techniques in Information Security: 13th International Conference, Atis 2022, Manipal, India, December 30-31, 2022, Revised Selected » książka
Privacy and Security.- Reinforcement Technique for Classifying Quasi and Non-Quasi Attributes for Privacy Preservation and Data Protection.- Non-malleable Codes from Authenticated Encryption in Split-State Model.- Continuously Non-Malleable Codes from Authenticated Encryptions in 2-Split-State Model.- Deep Learning based Differential Classifier of PRIDE and RC5.- A Better MixColumns Matrix to AES Against Differential Fault Analysis Attack.- Variants of Crypto-Jacking Attacks and their detection techniques.- Comparative Study of Sentiment Analysis on Cyber Security Related Multi-Sourced Data in Social Media Platforms.- Modified Blowfish Encryption Algorithm for Wireless Body Area Network.- EyeEncrypt: A Cyber-Secured Framework for Retinal Image Segmentation.- Cosine Similarity based Group Movie Recommendation Scheme considering Privacy of Users.- Enhancing Face Recognition Accuracy using the ED-FFP Extraction Method and Ensemble Learning for Forensics and Cyber Security.- Intrusion Detection Using Federated Learning.- Advances in Machine Learning.- A Comparative Analysis of Classification Algorithms used for predicting Parkinson’s Disease.- Optimization of Cluster based Charging dynamics and routing of EV using Deep RNN.- Analysis and Prognosis of Water Quality for River Ganga using Water Quality Index.- Detection of Android Ransomware using Machine Learning Approach.- Cyber Security and Layering of Medical Data Using Machine Learning Algorithms.- Analysis on Classification of Handwritten Devanagari Characters using Deep Learning Models.- Cloud, IoT and Computing Technologies.- Analysis and Comparison of Different Frontend Frameworks.- Lightweight Capability-Based Access control for Internet of Things (IoT).- Securing IoT using blockchain.- Vikas: A Multimodal framework to Aid in Effective Disaster Management.- Discovery of Rare Itemsets using Hyper-Linked Data Structure: A Parallel Approach.