Authors:
Cristina-Loredana Duta
;
Laura Gheorghe
and
Nicolae Tapus
Affiliation:
University Politehnica of Bucharest, Romania
Keyword(s):
Speech Processing, Voice Encryption, Digital Signal Processor, Grain V1, Trivium, Mickey 2.0, Blackfin Processor.
Related
Ontology
Subjects/Areas/Topics:
Computer-Supported Education
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Information Technologies Supporting Learning
;
Security
;
Security and Privacy
Abstract:
A large part of the latest research in speech coding and speech encryption algorithms is motivated by the
need of obtaining secure military communications, to allow effective operation in a hostile environment.
Since the bandwidth of the communication channel is a sensitive problem in military applications, low bitrate
speech compression methods and high throughput encryption algorithms are mostly used. Several
speech encryption methods are characterized by very strict requirements in power consumption, size, and
voltage supply. These requirements are difficult to fulfill, given the complexity and number of functions to
be implemented, together with the real time requirement and large dynamic range of the input signals. To
meet these constraints, careful optimization should be done at all levels, ranging from algorithmic level,
through system and circuit architecture, to layout and design of the cell library. The key points of this
optimization are among others, the choice o
f the algorithms, the modification of the algorithms to reduce
computational complexity, the choice of a fixed-point arithmetic unit, the minimization of the number of
bits required at every node of the algorithm, and a careful match between algorithms and architecture. This
paper describes the performance analysis on Digital Signal Processor (DSP) platform of some of the
recently proposed voice encryption algorithms, as well as the performance of stream ciphers such as Grain
v1, Trivium and Mickey 2.0 (which are suited for real time voice encryption). The algorithms were ported
onto a fixed point DSP, Blackfin 537, and stage by stage optimization was performed to meet the real time
requirements. Memory optimization techniques such as data placement and caching were also used to
reduce the processing time. The goal was to determine which of the evaluated encryption algorithms is best
suited for real time secure communications.
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