Mohammad Sazzadul Hoque

arXiv.org · 2012

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

Whom Mohammad Sazzadul Hoque trusts overall

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

  1. Susan M. Bridges
  2. Hilmi Günes Kayacik
  3. Andrew H. Sung
  4. Srinivas Mukkamala
  5. Karen Scarfone
  6. Toni R. Farley

Who trusts Mohammad Sazzadul Hoque overall

  1. Ansam Khraisat

Papers from Mohammad Sazzadul Hoque's perspective

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

  1. Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
  2. Intrusion Detection (Encyclopedia of Cryptography and Security)
  3. Results
  4. FUZZY DATA MINING AND GENETIC ALGORITHMS APPLIED TO INTRUSION DETECTION
  5. Intrusion detection using an ensemble of intelligent paradigms (Journal of Network and Computer Applications)
  6. Selecting Features for Intrusion Detection: A Feature Relevance Analysis on KDD 99 (Conference on Privacy, Security and Trust)
  7. Guide to Intrusion Detection and Prevention Systems (IDPS)
  8. Modeling intrusion detection system using hybrid intelligent systems (Journal of Network and Computer Applications)
  9. Using Genetic Algorithm for Network Intrusion Detection
  10. Intrusion Detection with Neural Networks

Their papers