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  1. MH-ASO Based Deep NNET Classifier Scheme for Effective Android Malware Recognition & Classification Strategy
  2. An optimal deep learning-based framework for the detection and classification of android malware
  3. An optimal detection of android malware using dynamic attention-based LSTM classifier
  4. A state-of-the-art Analysis of Android Malware Detection Methods
  5. IoT and wearables for detection of COVID-19 diagnosis using fusion-based feature extraction with multikernel extreme learning machine
  6. Enabling authenticity and integrity with Information Hiding for secure communication in Internet of Things
  7. Efficient and Secure Data Transfer in IoT