Recently, numerous multireceiver identity-based encryption or identity-based broadcast encryption schemes have been introduced with bilinear pairing and probabilistic map-to-point (MTP) function. As the bilinear pairing and MTP functions are expensive operations, any cryptographic schemes based on these operations experience high computational burden. The certificateless public key cryptography sidesteps the private key escrow problem occurring in identity-based cryptosystem and certificate management troubles of certificate authority-based public key cryptography (CA-PKC). We observed that certificateless multireceiver encryption (CL-MRE) scheme without pairing and MTP hash function has not yet been considered in the literature. In this paper, we proposed a bilinear pairing and MTP hash-function-free CL-MRE scheme with chosen ciphertext attack resilience. The detailed analyses provide evidence that our scheme achieves forward secrecy, backward secrecy, and low computation costs than others. The scheme also provides confidentiality of the message and receiver anonymity in the random oracle model with the hardness of computational Diffie-Hellman problem.

Contactless palmprint recognition systems alleviate the concerns on personal hygiene, acquisition flexibility, etc. Unfortunately, the preprocessing of contactless palmprint image faces several severe challenges, including unconstrained hand placement, complex background, light interference, etc. This paper proposes logical conjunction of triple-perpendiculardirectional translation residual (TPDTR) for the improvement of contactless palmprint image preprocessing. The search of hand valley point is within the borders of hand valley gap detected by TPDTR; therefore, the computational cost is effectively decreased. Furthermore, the anti-interference capacity of region is stronger than that of point and line, so TPDTR improves the accuracy of hand valley point detection. The experimental results confirm the superiorities of TPDTR over the existing methods in computational cost and accuracy.

No abstract

Customer Relationship Management (CRM) has grabbed the attention of both practice and research in the past decade, developing into an area of major significance. The focus of the CRM concept is to build a long-term and value-added relationship for both the organisation and customers. Governments -although considered late followers compared to the private industry -have been showing growing interest in CRM systems recently to help public and government agencies track and manage relationships with their constituents. In this article, we review existing literature to provide an understanding of the field. We also present a proposed CRM framework based on literature review and practice work. The proposed framework is envisaged to act as a practical management tool that provides a holistic overview of implementation phases, components of each phase, and associated critical success factors.

The amount of data in our world today is substantially mammoth. Many of the personal and non-personal aspects of our day to day activities are aggregated and stored as data by both businesses and governments. The increasing data captured through multimedia, social media, and the Internet of Things is a phenomenon that needs to be properly examined. In this article, we explore this topic, and analyse the term data ownership. We aim to raise awareness and trigger debate for policy makers around data ownership and the need to improve existing data protection and privacy laws and legislation at both national and international levels.