Your credentials are compromised, do not panic: You can be well protected

Issa Khalil, Zuochao Dou, Abdallah Khreishah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In this paper, we leverage the characteristics of round-trip communications latency (RTL) to design and implement a novel highly secure and usable web authentication scheme, dubbed CLAS. CLAS uses, in addition to the traditional credentials, round-trip network communications latency to uniquely identify users. CLAS introduces a novel network architecture which turns RTL into a robust authentication feature that is extremely difficult to forge. CLAS offers robust defense against password compromise because, unlike many traditional authentication mechanisms, it is resilient to phishing/pharming, man-in-the-middle, and social engineering attacks. Most importantly, CLAS is transparent to users and incurs negligible overhead. Our experimental results show that CLAS can achieve 0.0017 false positive rate while maintaining false negative rate below 0.007.

Original languageEnglish (US)
Title of host publicationASIA CCS 2016 - Proceedings of the 11th ACM Asia Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery, Inc
Pages925-930
Number of pages6
ISBN (Electronic)9781450342339
DOIs
StatePublished - May 30 2016
Event11th ACM Asia Conference on Computer and Communications Security, ASIA CCS 2016 - Xi'an, China
Duration: May 30 2016Jun 3 2016

Publication series

NameASIA CCS 2016 - Proceedings of the 11th ACM Asia Conference on Computer and Communications Security

Other

Other11th ACM Asia Conference on Computer and Communications Security, ASIA CCS 2016
CountryChina
CityXi'an
Period5/30/166/3/16

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Computer Networks and Communications

Keywords

  • Gaus-sian distribution
  • Network communications latency
  • Password compromise
  • Web authentication

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