Reconfigurable Linear Feedback Shift Register

Madhulatha, Kamma; Jyothika, Karasani; Harini, S.; Somanathan, Geethu Remadevi; Bhakthavathchalu, Ramesh

doi:10.1109/icssit53264.2022.9716565

Cited by 7 publications

(2 citation statements)

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“…Geffe generator is a combinational circuit consisting of three LFSRs which produce keystreams x1, x2 and x3. The concepts of LFSR state that if primitive polynomial is used to generate the feedback of LFSR, the its period is maximum and is given by 2 L -1 where L is the number of blocks in LFSR [3] . These keystreams are used to produce additional keystream, Z0, which is the resultant keystream of a geffe generator as shown in figure 2 [8] .…”

Section: Geffe Generatormentioning

confidence: 99%

“…WSNs consist of nodes which are spread across a given area for information collection and its re-transmission to base station for processing/analysis. However, WSNs suffer from inherit issue of information security [2] so Linear Feedback Shift Registers (LFSRs) [3] are used for security enhancement and technique commonly used is termed as a stream cipher.…”

Section: Introductionmentioning

confidence: 99%

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Algebraic Immunity Enhancement of LFSR Based Stream Ciphers Against Correlation and Brute Force Attack

2024

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Wireless Sensor Networks (WSNs) play a vital role in military spectrum sensing applications, such as surveillance of emitters and electronic warfare. However, the inherent information security challenges in WSNs, particularly concerning stream ciphers based on Linear Feedback Shift Registers (LFSRs), necessitate enhanced security measures. This research proposes an intrusion prevention system designed to enhance algebraic immunity of a geffe generator-based stream cipher for secure data transmission in military WSNs. The Geffe Generator utilizes three LFSRs to produce a keystream, and this work addresses its limitations related to correlation and vulnerability to brute force and correlation attacks. The proposed solution involves incorporating a σ-LFSR into the Geffe Generator and introducing a modified shrinking generator to increase non-linearity of generated keystream. MATLAB simulations were conducted to evaluate the proposed model's period, complexity, and correlation with individual keystreams. The results demonstrate that the proposed model exhibits a significantly higher period and reduced correlation compared to conventional Geffe Generators, making it a promising solution for enhancing the security of WSNs in military spectrum sensing applications.

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Section: Geffe Generatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%