Cherukuri Aswani Kumar

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Cherukuri Aswani Kumar trusts overall

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

  1. Latifur R. Khan
  2. Srilatha Chebrolu
  3. Ajith Abraham
  4. G. Wang
  5. Sandhya Peddabachigari
  6. Aleksandar Lazarevic

Who trusts Cherukuri Aswani Kumar overall

  1. Ankit Thakkar
  2. Kaiyuan Jiang
  3. Ritika Lohiya

Papers from Cherukuri Aswani Kumar's perspective

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

  1. A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
  2. Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
  3. A new intrusion detection system using support vector machines and hierarchical clustering
  4. A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
  5. UCI Repository of machine learning databases
  6. A novel hybrid intrusion detection method integrating anomaly detection with misuse detection (Expert systems with applications)
  7. Modeling intrusion detection system using hybrid intelligent systems (Journal of Network and Computer Applications)
  8. A novel hybrid KPCA and SVM with GA model for intrusion detection (Applied Soft Computing)
  9. CANN: An intrusion detection system based on combining cluster centers and nearest neighbors (Knowledge-Based Systems)
  10. Mutual information-based feature selection for intrusion detection systems (Journal of Network and Computer Applications)

Their papers