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Portsmouth Research Portal
Part of book or chapter of book . 2009
https://doi.org/10.1109/securw...
Article . 2009 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Detecting Man-in-the-Middle Attacks by Precise Timing

Authors: Benjamin Aziz; Geoff W. Hamilton;

Detecting Man-in-the-Middle Attacks by Precise Timing

Abstract

Man-in-the-middle attacks are one of the most popular and fundamental attacks on distributed systems that have evolved with advances in distributed computing technologies and have assumed several shapes ranging from simple IP spoofing to complicated attacks on wireless communications, which have safety-critical applications such as remote wireless passport verification. This paper proposes a static analysis algorithm for the detection of man-in-the-middle attacks in mobile processes using a solution based on precise timing.

Country
United Kingdom
Keywords

Computing, /dk/atira/pure/core/subjects/computing

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    22
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average