Iman Sharafaldin
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it
- Computer Networks and Communications — 7 citations into it; #1,826 of 9,886 by trust here, #2,478 by citations
Whom Iman Sharafaldin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John McHugh
- Arash Habibi Lashkari
- J. Ross Quinlan
- Gideon Creech
- Mahbod Tavallaee
- Trevor J. Hastie
- Ali Akbar Ghorbani
- Jiankun Hu
- Ebrahim Bagheri
- Leo Breiman
Who trusts Iman Sharafaldin overall
- Ansam Khraisat
- Mohanad Sarhan
- Nour Moustafa
- Nivedita Mishra
- Ankit Thakkar
- Siamak Layeghy
- Li Yang
- K. Ruwani
- Monika Roopak
- Nickolaos Koroniotis
Papers from Iman Sharafaldin's perspective
Ordered by how strongly the researchers Iman Sharafaldin trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Testing Intrusion detection systems (ACM Transactions on Privacy and Security)
- Generation of a new IDS test dataset: Time to retire the KDD collection (IEEE Wireless Communications and Networking Conference)
- A taxonomy of DDoS attack and DDoS defense mechanisms (CCRV)
- Induction of decision trees
- Statistical analysis of honeypot data and building of Kyoto 2006+ dataset for NIDS evaluation (International Workshop on Building Analysis Datasets and Gathering Experience Returns for Security)
- Characterization of Tor Traffic using Time based Features (International Conference on Information Systems Security and Privacy)
- A detailed analysis of the KDD CUP 99 data set (IEEE Symposium on Computational Intelligence for Security and Defense Applications)
- An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
- C4.5: Programs for Machine Learning
Their papers
- Developing Realistic Distributed Denial of Service (DDoS) Attack Dataset and Taxonomy (2019) — 1,025 citations
- Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization (2018) — 4,845 citations