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https://doi.org/10.1109/iscc.2...
Article . 2003 . Peer-reviewed
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DBLP
Conference object . 2023
Data sources: DBLP
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Self-securing ad hoc wireless networks

Authors: Haiyun Luo; Petros Zerfos; Jiejun Kong; Songwu Lu; Lixia Zhang 0001;

Self-securing ad hoc wireless networks

Abstract

Mobile ad hoc networking offers convenient infrastructureless communication over the shared wireless channel. However, the nature of ad hoc networks makes them vulnerable to security attacks. Examples of such attacks include passive eavesdropping over the wireless channel, denial of service attacks by malicious nodes and attacks from compromised nodes or stolen devices. Unlike their wired counterpart, infrastructureless ad hoc networks do not have a clear line of defense, and every node must be prepared for encounters with an adversary. Therefore, a centralized or hierarchical network security solution does not work well.This work provides scalable, distributed authentication services in ad hoc networks. Our design takes a self-securing approach, in which multiple nodes (say, k) collaboratively provide authentication services for other nodes in the network. We first formalize a localized trust model that lays the foundation for the design. We further propose refined localized certification services based on our previous work, and develop a new scalable share update to resist more powerful adversaries. Finally, we evaluate the solution through simulation and implementation.

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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!
8
Average
Top 10%
Average