Anirban Mahanti

Computer Networks and Communications · 2006–2007

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 25 citations into it; #7,778 of 9,886 by trust here, #2,300 by citations
• Artificial Intelligence — 23 citations into it; #28,595 of 35,345 by trust here, #12,974 by citations
• Hardware and Architecture — 8 citations into it

Whom Anirban Mahanti trusts overall

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

1. Subhabrata Sen
2. Thomas Karagiannis
3. Andrew William Moore
4. Matthew Roughan
5. Konstantina (Dina) Papagiannaki
6. Oliver Spatscheck
7. Sebastian Zander
8. Sugato Basu
9. Isabelle M Guyon
10. Anil K. Jain

Who trusts Anirban Mahanti overall

1. Jun Zhang
2. Thuy T. T. Nguyen
3. Raouf Boutaba

Papers from Anirban Mahanti's perspective

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

1. Toward the Accurate Identification of Network Applications (Passive and Active Network Measurement Conference)
2. Accurate, scalable in-network identification of p2p traffic using application signatures (The Web Conference)
3. Flow Clustering Using Machine Learning Techniques (Passive and Active Network Measurement Conference)
4. Class-of-service mapping for QoS: a statistical signature-based approach to IP traffic classification (ACM/SIGCOMM Internet Measurement Conference)
5. Transport layer identification of P2P traffic (ACM/SIGCOMM Internet Measurement Conference)
6. Profiling internet backbone traffic: behavior models and applications (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
7. BLINC: multilevel traffic classification in the dark (Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication)
8. Internet traffic classification using bayesian analysis techniques (Measurement and Modeling of Computer Systems)
9. Analyzing peer-to-peer traffic across large networks (International Memory Workshop)
10. An Introduction to Variable and Feature Selection

Their papers

• Youtube traffic characterization: a view from the edge (2007) — 1,040 citations
• Offline/realtime traffic classification using semi-supervised learning (2007) — 312 citations
• Traffic classification using clustering algorithms (2006) — 790 citations