Sharnil Pandya

Computer Networks and Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sharnil Pandya trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Iman Sharafaldin
  2. Huan Xu
  3. Manuel López Martín
  4. Siva S. Sivatha Sindhu
  5. Marko Ristin
  6. Sarah Monazam Erfani
  7. Kaiyuan Jiang
  8. Nour Moustafa

Papers from Sharnil Pandya's perspective

Ordered by how strongly the researchers Sharnil Pandya trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. A Robust Minimax Approach to Classification
  3. A novel hybrid intrusion detection method integrating anomaly detection with misuse detection (Expert systems with applications)
  4. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) (Military Communications and Information Systems Conference)
  5. A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (IEEE Communications Surveys and Tutorials)
  6. Robust Regression and Lasso
  7. Botnet detection based on traffic behavior analysis and flow intervals (Computers & security)
  8. N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders (IEEE pervasive computing)
  9. Incremental Learning of Random Forests for Large-Scale Image Classification
  10. High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning (Pattern Recognition)

Their papers