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Bounding Packet Dropping and Injection Attacks in Sensor Networks

Authors: Zhang, Xin; Haowen Chang; Abhishek Jain; Perrig, Adrian;

Bounding Packet Dropping and Injection Attacks in Sensor Networks

Abstract

A malicious insider in a sensor network may sabotage the network at any level of operation. While most prior work on network-layer security has focused on providing control plane integrity (specifically, routing correctness), we approach a complementary and equally important problem: data plane reliability. In a data plane attack, the attacker does not attack the routing control logic, but instead directly manipulates the data payloads flowing on the network to cause disruption. We reduce the general problem of data-plane manipulation attacks to two specific attacks: packet dropping and injection, and propose two complementary protocols to address the problem as a whole. We address packet dropping with a probabilistic probing protocol which can bound the end-to-end drop rate below a fixed threshold for a given path in the presence of multiple adversarial nodes and natural packet loss. We address packet injection with a rate-limiting mechanism based on per-epoch audit to detect nodes which exceed their allotted data origination rates. In both protocols, an adversary can misbehave by at most a fixed amount on expectation, before it is detected; after detection, one of the links under its control will be removed. Hence, the total amount of misbehavior (packet injection or dropping) an adversary can inflict is a constant regardless of the lifetime of the network.

Keywords

FOS: Computer and information sciences, 80303 Computer System Security

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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!
0
Average
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