Unwanted Traffic Identification in Large-Scale University Networks: A Case Study

Chittaranjan Hota (), Pratik Narang () and Jagan Mohan Reddy ()
Additional contact information
Chittaranjan Hota: BITS-Pilani Hyderabad Campus
Pratik Narang: BITS-Pilani Hyderabad Campus
Jagan Mohan Reddy: BITS-Pilani Hyderabad Campus

A chapter in Big Data Analytics, 2016, pp 163-187 from Springer

Abstract: Abstract To mitigate the malicious impact of P2P traffic on University networks, in this article the authors have proposed the design of payload-oblivious privacy-preserving P2P traffic detectors. The proposed detectors do not rely on payload signatures, and hence, are resilient to P2P client and protocol changes—a phenomenon which is now becoming increasingly frequent with newer, more popular P2P clients/protocols. The article also discusses newer designs to accurately distinguish P2P botnets from benign P2P applications. The datasets gathered from the testbed and other sources range from Gigabytes to Terabytes containing both unstructured and structured data assimilated through running of various applications within the University network. The approaches proposed in this article describe novel ways to handle large amounts of data that is collected at unprecedented scale in authors’ University network.

Keywords: Malicious Node; Port Number; Internet Traffic; Sybil Attack; Deep Packet Inspection (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-81-322-3628-3_9

Ordering information: This item can be ordered from
http://www.springer.com/9788132236283

DOI: 10.1007/978-81-322-3628-3_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().