Iqbal Gondal

Computer Networks and Communications · 2019

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 38 citations into it; #8,556 of 9,886 by trust here, #8,543 by citations
• Artificial Intelligence — 27 citations into it; #31,046 of 35,345 by trust here, #31,361 by citations
• Signal Processing — 19 citations into it; #6,647 of 7,572 by trust here, #6,591 by citations
• Information Systems — 10 citations into it
• Biomedical Engineering — 5 citations into it

Whom Iqbal Gondal trusts overall

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

1. J. Ross Quinlan
2. Leo Breiman
3. Gideon Creech
4. Anna L. Buczak
5. Silvia L. P. Ferrari
6. Abdulla Amin Aburomman
7. Mahbod Tavallaee
8. Iman Sharafaldin
9. Srilatha Chebrolu
10. Wun-Hwa Chen

Who trusts Iqbal Gondal overall

1. Ansam Khraisat

Papers from Iqbal Gondal's perspective

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

1. A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
2. C4.5: Programs for Machine Learning
3. Induction of decision trees
4. Bagging Predictors
5. Feature deduction and ensemble design of intrusion detection systems
6. Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
7. A survey of intrusion detection techniques in Cloud (Journal of Network and Computer Applications)
8. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection (IEEE Communications Surveys and Tutorials)
9. Network Anomaly Detection: Methods, Systems and Tools (IEEE Communications Surveys and Tutorials)
10. Toward developing a systematic approach to generate benchmark datasets for intrusion detection (Computers & security)

Their papers

• Survey of intrusion detection systems: techniques, datasets and challenges (2019) — 1,689 citations