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Hafiz Ali Mansoor Elahi

Hafiz Ali Mansoor Elahi

Cybersecurity
Independent Researcher · Pakistan
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About

am an independent cybersecurity researcher with research interests in applied cybersecurity, post-quantum cryptography, IoT security, embedded systems security, network security, digital forensics, malware analysis, and secure communication protocols. My current research direction focuses on practical and implementation-driven security solutions for resource-constrained devices and real-world digital environments.

I am particularly interested in hybrid post-quantum key exchange, secure IoT communication, cryptographic protocol design, industrial/embedded security, security benchmarking, and reproducible cybersecurity research. I am open to research collaboration, joint publications, technical discussions, and experimental work in cybersecurity and emerging security technologies.

Research keywords

Network SecurityCryptographyPenetration TestingDigital ForensicsMalware AnalysisPost-Quantum CryptographyIoT SecurityEmbedded Systems SecurityHybrid Key ExchangeOT SecurityIndustrial IoT SecurityApplied CybersecuritySecurity BenchmarkingGRC

Publications

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Secure Key-Based Substitution-Boxes Design Using Systematic Search for High Nonlinearity

IEEE Access · 2023

The significance of data security has become more critical due to the ever-changing goals and capabilities of attackers. As a result, many cryptosystems employing diverse approaches are being developed to safeguard the sensitive data. A Substitution box (S-box) plays a vigorous role in modern cryptosystems because of its credence for inducing confusion during the encryption process and ultimately protecting the data. Currently, chaotic maps are being developed and widely employed to yield S-Boxes as the use of chaotic maps aids in the randomness and resistance to mitigate many cryptanalytic attacks. In this paper, a novel chaotic map and an inventive systematic search method are proposed for the generation of key-dependent dynamic and highly nonlinear S-boxes. A variety of standard cryptographic tests such as fixed-point analysis, nonlinearity (NL), strict avalanche criterion (SAC), bit independence criterion (BIC), linear probability (LP), differential probability (DP), etc.) are applied to assess and analyze the cryptographic strengths of S-boxes generated using the proposed method. The findings from experimental and comparative analyses show that the proposed S-box provides stronger and better cryptographic features (no fixed point, no opposite fixed point, average NL = 111.75, SAC offset = 0.0000, BIC-NL = 103.9, LP = 0.125, and DP = 0.039) than many of the existing S-boxes studies presented in recent years. Hence, the proposed S-box construction technique has a lot of potential and genuine prospects for its utilization in cryptographic applications to protect sensitive data from attackers.

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