Arash Habibi Lashkari
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 6 papers; trusts 12 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it; #26,939 of 35,345 by trust here, #17,412 by citations
- Computer Networks and Communications — 27 citations into it; #1,183 of 9,886 by trust here, #1,446 by citations
- Signal Processing — 10 citations into it
- Information Systems — 9 citations into it
- Privacy & Security — 6 citations into it
- Hardware and Architecture — 5 citations into it; #867 of 1,551 by trust here, #1,091 by citations
Whom Arash Habibi Lashkari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark A. Hall
- John McHugh
- J. Ross Quinlan
- Ali Akbar Ghorbani
- Daniel Arp
- Fengguo Wei
- Gideon Creech
- Cynthia Dwork
- Eibe Frank
- Pascal Paillier
Who trusts Arash Habibi Lashkari overall
- Iman Sharafaldin
- Zhibo Zhang
- Nadia Chaabouni
- Ansam Khraisat
- Paulo Angelo Alves Resende
- Nour Moustafa
- Mohanad Sarhan
- Mahmoud Said Elsayed
- Mohamed Amine Ferrag
- Ali Akbar Ghorbani
Papers from Arash Habibi Lashkari's perspective
Ordered by how strongly the researchers Arash Habibi Lashkari trusts endorse each paper. Same corpus, a different order for every researcher.
- The WEKA data mining software: an update
- BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
- Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
- A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification (CCRV)
- Internet traffic classification using bayesian analysis techniques (Measurement and Modeling of Computer Systems)
- Tor: The Second-Generation Onion Router
- Differential Privacy
- A survey of techniques for internet traffic classification using machine learning
- Random Forests
- Internet traffic classification demystified: myths, caveats, and the best practices (Conference on Emerging Network Experiment and Technology)
Their papers
- Characterization of Tor Traffic using Time based Features (2017) — 887 citations
- 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
- Toward Developing a Systematic Approach to Generate Benchmark Android Malware Datasets and Classification (2018) — 327 citations
- A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT (2017) — 411 citations
- Characterization of Encrypted and VPN Traffic using Time-related Features (2016) — 1,188 citations