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Tamper Resistance for Software Defined Radio Software

Authors: Shucai Xiao; Jung-Min Park 0001; Yanzhu Ye;

Tamper Resistance for Software Defined Radio Software

Abstract

The security of software defined radio (SDR) software is essential to the trustworthiness of the overall radio system. When designing and developing security solutions for SDR software, its performance requirements, such as stringent real-time constraint, need to be considered. In this paper, we describe a tamper resistance scheme that was designed to thwart the unauthorized tampering of SDR software. This scheme utilizes code encryption and branch functions to obfuscate the target program while enabling the program to satisfy its performance requirements. The scheme employs a technique called the Random Branch Function Call (RBFC), which enables a user to control the tradeoff between integrity checking frequency and the overhead. We have rigorously evaluated the scheme using various performance metrics and quantified the relationship between the end-to-end delay overhead (caused by the tamper resistance scheme) and voice quality in the context of a voice communication network.

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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!
11
Average
Top 10%
Average
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