A Novel Hybrid Communication Policy using Network Coding Based Post-Quantum Cryptography and Fuzzy Inference System
Rohit Goyal, Arnav Pawar, Rohith Ravikumar, Sainath Bitragunta · 2022
This paper presents a novel hybrid communication policy developed using Hybrid Universal Network Coding Cryptosystem (HUNCC), which can perform post-quantum cryptography (PQC) at high information rates. This hybrid scheme (HUNCC) is based on the notion of individual secrecy and computational complexity, where we assume that if the eavesdropper has access to a small part of the communication link (ciphertext) between the sender and receiver, individual secrecy will ensure secure communication and if the eavesdropper has access to the full link (ciphertext), then computational complexity can guarantee post-quantum security.We extend our study by applying fuzzy logic to HUNCC, helping us gain more insights. Specifically, we propose a novel Fuzzy Inference System (FIS) that provides a security metric from the input attributes, namely the physical layer (PHY) security attribute and cooperative sensing (CS) security attribute obtained from trusted sources. We assume such attributes are available for the FIS to evaluate a security metric that will decide whether i) to implement the cryptosystem over a single link in a multi-link system (HUNCC) or ii) to completely use the notion of individual secrecy alone to encode the system, provided the output from FIS guarantees good security. This method can help switch between classical and quantum-secure communication, improving the effective throughput. Using HUNCC with a modified McEliece Cryptosystem that uses Hamming code, we obtain an information rate of 0.9507 bits, illustrating the increase in throughput obtained using the modified HUNCC model compared to existing PQC techniques. Further, we propose a novel idea for increasing the information rate further based on the security metric obtained from FIS and adaptively switching between quantum and classical communication based on security risk factors.