CA : A Cancer Journal for Clinicians

Brief Non-singular terminal sliding mode control of rigid manipulators

Nonsingular fixed-time consensus tracking for second-order multi-agent networks

Pinning adaptive synchronization of a general complex dynamical network

Security and privacy in electronic health records: A systematic literature review

This paper introduces a new method for generating multi-scroll chaotic attractors using a linear second-order hysteresis system. It includes 1-D n-scroll and 2-D n x m grid scroll chaotic attractors. Basic dynamical behaviors of the hysteresis chaotic systems are further investigated via theoretical analysis. Especially, the chaotic behaviors are verifed theoretically.

Generating multi-scroll chaotic attractors via a linear second-order hysteresis system

Biometric techniques provide a feasible solution for protecting personal information at a high security level. However, biometric features themselves demand protection. As a promising method, fuzzy extractor seamlessly binds a cryptographic key to biometric features, in order to prevent both keys and features being exposed to attackers. Some related research has been done in this area however three major issues are still unsolved, which are : 1) Feature alignment 2) Verification accuracy. 3) Information leakage. In this paper, an alignment-free fingerprint fuzzy extraction scheme is proposed. To eliminate the alignment process, we use the minutia local structure features which has been proved to be stable, discriminative, rotation and shift free. The Dual Layer Structure Check (DLSC) verification scheme is base on the minutia local structure and it achieves a high verification performance. In this paper, we proposed a near-equivalent version of DLSC (NeDLSC) that can be directly employed by the existing bio-cryptographic constructions. Then a new fuzzy extractor scheme which is on the basis of NeDLSC is demonstrated. The preliminary experiments on publicly-available database FVC2002 shows a high verification accuracy.

An alignment free fingerprint fuzzy extractor using near-equivalent Dual Layer Structure Check (NeDLSC) algorithm

Electronic online voting has been piloted in various countries in the recent past. These experiments show that further research is required, to improve the security guarantees of such systems, in terms of vote confidentiality and integrity and validity verification. In this paper we argue that blockchain technology, combined with modern cryptography can provide the transparency, integrity and confidentiality required from reliable online voting. Furthermore, we present a decentralized online voting system implemented as a smart contract on the Ethereum blockchain. The system has no hardwired restrictions on possible vote assignments to candidates, protects voter confidentiality by using a homomorphic encryption system and stores proofs for each element of a vote. To the best of our knowledge, our proposed system is the first decentralized ranked choice online voting system in existence. The underlying Ethereum platform enforces the correct execution of the voting protocol. We also present a security and performance analysis, showing the feasibility of our proposed protocol for real-world voting applications at large scale.

Decentralized Voting: A Self-tallying Voting System Using a Smart Contract on the Ethereum Blockchain

Presented here is a functional implementation of Distributed Ledger Technology applied to the task of cataloguing CCTV video evidence. We describe and demonstrate a prototype camera that participates in blockchain creation in real time, and the system designed to manage and coordinate its distribution and use. This application is of specific interest to law enforcement agencies charged with the management of high volumes of CCTV evidence. We discuss applicability and scalability with reference to simulation results and real-world testing. The combination of blockchain technology with a novel digital watermarking application is demonstrated here providing immediate benefit against an existing real-world problem of trustworthy evidence protection in distributed network environments.

A Blockchain Implementation for the Cataloguing of CCTV Video Evidence

In this paper, the compatibility of fingerprint images captured with mobile cameras (touch-less) with existing touch-based commercial fingerprint verification software VeriFinger SDK is investigated. The touch-less fingerprint images taken with mobile cameras are different with the fingerprint images captured from touch-based scanners. The research in this paper shows that the commercial fingerprint verification software VeriFinger SDK can load the photographed fingerprint images, and can extract minutiae from the photographed images. Furthermore, the minutiae matching of a sample against a reference have been successfully performed based on the photographed fingerprint images using VeriFinger SDK. This research result will make the mobile fingerprint verification more interoperable which has significant contribution to the security of m-commerce applications.

Fengling Han

Papers

Generating multi-scroll chaotic attractors via a linear second-order hysteresis system

An alignment free fingerprint fuzzy extractor using near-equivalent Dual Layer Structure Check (NeDLSC) algorithm

Decentralized Voting: A Self-tallying Voting System Using a Smart Contract on the Ethereum Blockchain

A Blockchain Implementation for the Cataloguing of CCTV Video Evidence

Compatibility of photographed images with touch-based fingerprint verification software