Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 19 Similar Profiles
Bandwidth Engineering & Materials Science
Routers Engineering & Materials Science
Throughput Engineering & Materials Science
Scheduling algorithms Engineering & Materials Science
Websites Engineering & Materials Science
Network protocols Engineering & Materials Science
Servers Engineering & Materials Science
Monitoring Engineering & Materials Science

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Projects 2004 2018

Research Output 2000 2016

  • 441 Citations
  • 11 h-Index
  • 18 Conference contribution
  • 9 Article
  • 2 Editorial
1 Citations

Can android applications be identified using only TCP/IP headers of their launch time traffic?

Alan, H. F. & Kaur, J. Jul 18 2016 WiSec 2016 - Proceedings of the 9th ACM Conference on Security and Privacy in Wireless and Mobile Networks. Association for Computing Machinery, Inc, p. 61-66 6 p.

Research output: ResearchConference contribution

Application programs
Android (operating system)
HTTP
Supervised learning
Websites
1 Citations

A Graph Theoretical Analysis of the Web Using DNS Traffic Traces

Sanders, S. & Kaur, J. Nov 16 2015 Proceedings - IEEE 23rd International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, MASCOTS 2015. IEEE Computer Society, Vol. 2015-November, p. 11-14 4 p. 7330145

Research output: ResearchConference contribution

Theoretical Analysis
Trace
Traffic
Graph in graph theory
Direct numerical Simulation

Can web pages be classified using anonymized TCP/IP headers?

Sanders, S. & Kaur, J. Aug 21 2015 2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015. Institute of Electrical and Electronics Engineers Inc., Vol. 26, p. 2272-2280 9 p. 7218614

Research output: ResearchConference contribution

Websites
Intrusion detection
Labeling

The influence of client platform on web page content: Measurements, analysis, and implications

Sanders, S., Sanka, G., Aikat, J. & Kaur, J. 2015 Web Information Systems Engineering – WISE 2015 - 16th International Conference, Proceedings. Springer Verlag, Vol. 9419, p. 1-16 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9419)

Research output: ResearchConference contribution

Influence
Websites
HTML
Sentiment Analysis
Content Analysis
2 Citations

Can bandwidth estimation tackle noise at ultra-high speeds?

Yin, Q., Kaur, J. & Smith, F. D. Dec 9 2014 Proceedings - IEEE 22nd International. IEEE Computer Society, p. 107-118 12 p. 6980370

Research output: ResearchConference contribution

Bandwidth
HIgh speed networks
Noise abatement
Acoustic noise
Network protocols