NDLI: Unconstrained endpoint profiling (googling the internet)

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Unconstrained endpoint profiling (googling the internet)

Content Provider	ACM Digital Library
Author	Kuzmanovi, Aleksandar Ranjan, Supranamaya Trestian, Ionut Nucci, Antonio
Abstract	Understanding Internet access trends at a global scale, i.e., what do people do on the Internet, is a challenging problem that is typically addressed by analyzing network traces. However, obtaining such traces presents its own set of challenges owing to either privacy concerns or to other operational difficulties. The key hypothesis of our work here is that most of the information needed to profile the Internet endpoints is already available around us - on the web. In this paper, we introduce a novel approach for profiling and classifying endpoints. We implement and deploy a Google-based profiling tool, which accurately characterizes endpoint behavior by collecting and strategically combining information freely available on the web. Our 'unconstrained endpoint profiling' approach shows remarkable advances in the following scenarios: (i) Even when no packet traces are available, it can accurately predict application and protocol usage trends at arbitrary networks; (ii) When network traces are available, it dramatically outperforms state-of-the-art classification tools; (iii) When sampled flow-level traces are available, it retains high classification capabilities when other schemes literally fall apart. Using this approach, we perform unconstrained endpoint profiling at a global scale: for clients in four different world regions (Asia, South and North America and Europe). We provide the first-of-its-kind endpoint analysis which reveals fascinating similarities and differences among these regions.
Starting Page	279
Ending Page	290
Page Count	12
File Format	PDF
ISBN	9781605581750
DOI	10.1145/1402958.1402991
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-08-17
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Google Traffic locality Traffic classification Clustering Endpoint profiling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Unconstrained endpoint profiling (googling the internet)

Googling the internet: profiling internet endpoints via the world wide web

Unconstrained Endpoint Profiling (Googling the Internet)

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