TY - GEN
T1 - A Novel Approach to Optimize Response-Based Cryptography for Secure Data Transmission
AU - Jain, Saloni
AU - Korenda, Ashwija Reddy
AU - Cambou, Bertrand
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - In today’s technological landscape, where devices like robots, automotive vehicles, IoT devices, and machinery rely heavily on data for training and functionality. Therefore, storing sensitive information such as passwords and cryptographic keys poses considerable risks. Physical Unclonable Functions (PUFs) have the potential to mitigate some of these risks; however, integrating PUFs into cryptographic systems presents challenges due to their susceptibility to environmental conditions, making it difficult to consistently recover reliable keys. Response-Based Cryptography (RBC) has been proposed as a server-based search engine to address the computational challenges posed by error correction codes, offering a solution for effectively managing discrepancies in IoT devices with limited resources. The issue of burst errors in binary key streams poses significant security risks, requiring effective mitigation strategies like RBC with fragmentation. This paper proposes a solution involving a fixed-error in sub-response to address burst errors, against attackers attempting to replicate the PUF through modeling attacks. The paper also presents an analysis demonstrating a significant increase in computational complexity for attackers using an interleaver in the proposed method. Statistical analysis are introduced to quantify the rates of successful key recovery and latency data for keys of varying lengths. The method is capable to handle up to 35% bit error rates in the PUF-generated keys within milliseconds. In the rare cases of failure to recover the keys, repeating the challenge-response-pair mechanism of the PUF proves to be a faster and effective alternative than persisting in a lengthy search.
AB - In today’s technological landscape, where devices like robots, automotive vehicles, IoT devices, and machinery rely heavily on data for training and functionality. Therefore, storing sensitive information such as passwords and cryptographic keys poses considerable risks. Physical Unclonable Functions (PUFs) have the potential to mitigate some of these risks; however, integrating PUFs into cryptographic systems presents challenges due to their susceptibility to environmental conditions, making it difficult to consistently recover reliable keys. Response-Based Cryptography (RBC) has been proposed as a server-based search engine to address the computational challenges posed by error correction codes, offering a solution for effectively managing discrepancies in IoT devices with limited resources. The issue of burst errors in binary key streams poses significant security risks, requiring effective mitigation strategies like RBC with fragmentation. This paper proposes a solution involving a fixed-error in sub-response to address burst errors, against attackers attempting to replicate the PUF through modeling attacks. The paper also presents an analysis demonstrating a significant increase in computational complexity for attackers using an interleaver in the proposed method. Statistical analysis are introduced to quantify the rates of successful key recovery and latency data for keys of varying lengths. The method is capable to handle up to 35% bit error rates in the PUF-generated keys within milliseconds. In the rare cases of failure to recover the keys, repeating the challenge-response-pair mechanism of the PUF proves to be a faster and effective alternative than persisting in a lengthy search.
KW - Attacks
KW - Burst errors
KW - Error correction
KW - Interleaver
KW - Physical unclonable function
KW - Response-Based cryptography
KW - Security primitive
UR - http://www.scopus.com/inward/record.url?scp=85209583580&partnerID=8YFLogxK
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U2 - 10.1007/978-3-031-73128-0_15
DO - 10.1007/978-3-031-73128-0_15
M3 - Conference contribution
AN - SCOPUS:85209583580
SN - 9783031731273
T3 - Lecture Notes in Networks and Systems
SP - 226
EP - 248
BT - Proceedings of the Future Technologies Conference (FTC) 2024
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th Future Technologies Conference, FTC 2024
Y2 - 14 November 2024 through 15 November 2024
ER -