Cryptography

mR_LWE-CP-ABE: a Recoverable CP-ABE protocol for Post-quantum Cryptography

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B9 L2 R2325

This talk presents a novel lattice-based revocable CP-ABE scheme built upon lattice-based cryptography to addresses the challenge of efficient user revocation in post-quantum secure cloud environments by leveraging semi-trusted mediators to enable multi-step decryption without costly re-encryption.

Implementation and Statistical Characterization of High Efficiency True Random Number Generators (RNGs) for Cryptographic Applications

Practical implementations of RNGs can be classified into two major categories, namely pseudo-RNGs and physical-RNGs. Pseudo-RNGs are deterministic, numeric algorithms that expand short seeds into long bit sequences. Conversely, physical-RNGs rely on microscopic processes resulting in macroscopic observables which can be regarded as random noise (quantum, thermal,…). Pseudo-RNGs generally depart more from the ideal specifications: are based on finite memory algorithms, thus exhibit periodic behaviors and generate correlated samples and are therefore unsuitable for data security and cryptography

Practical Cryptographic Framework to Manage Security and Privacy for IoT Endpoint devices

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B1 L4 R4214

In this talk, the speaker will provide a high-level introduction to his recent research on IoT endpoint security. Firstly, he will introduce requirements followed by a discussion on cryptographic algorithm implementation. He will mainly focus on an overview of efficient cryptography for IoT endpoints and system privacy issues. Then he will discuss security management approaches, positives, negatives and challenges to resolve, linking to the endpoint device security section with regards to realistic device needs/capabilities.

Sian-Jheng Lin

Postdoctoral Research Fellow (former), Electrical and Computer Engineering
Postdoctoral Research Fellow, Electrical and Computer Engineering , King Abdullah University of Science and Technology. Project Researcher, University of Science and Technology of China (USTC), PRC.

Elmootazbellah Elnozahy

Professor (former), Computer Science
Elmootazbellah (Mootaz) Elnozahy is a renowned computer scientist who has filed, individually and with colleagues, 58 U.S. patents. He has successfully secured research and development funding grants of ~$320M.