Editorial preface for the special issue “Advances in security, privacy and trust technologies”

Journal of Ambient Intelligence and Humanized Computing, Sep 2015

Fatos Xhafa, Xiaofeng Chen, Leonard Barolli

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Editorial preface for the special issue “Advances in security, privacy and trust technologies”

Editorial preface for the special issue ''Advances in security, privacy and trust technologies'' Fatos Xhafa 0 1 2 Xiaofeng Chen 0 1 2 Leonard Barolli 0 1 2 0 Universitat Polite`cnica de Catalunya , Barcelona , Spain 1 Fukuoka Institute of Technology , Fukuoka , Japan 2 Xidian University , Xi'an , China Leonard Barolli - were selected and are arranged in the special issue as follows. Xiong et al. in the first paper ‘‘The finite volume element method for a parameter identification problem’’ use finite volume element method to solve a parameter identification problem of parabolic equations with over-specified data. The authors provide the numerical scheme of the unknown function and control parameters and obtain the error estimates of approximate solution. The proposed method is experimentally evaluated and compared with the exact solution to confirm the good accuracy of the presented scheme. The second paper by Chen et al. ‘‘An Opinion Mining Framework For Cantonese Reviews’’, analyze opinion mining for Cantonese language. The authors motivate the need to construct a particular lexical database for Cantonese and explore some Cantonese special written-tradition rules and incorporate them into the feature-based opinion summarization system framework. The experimental results show that the proposed framework significantly outperforms the traditional Mandarin sentiment analysis method using ICTCLAS. In the third paper ‘‘A Secure Remote Data Integrity Checking Cloud Storage System from Threshold Encryption’’, Yao et al. study the confidentiality and integrity issues in cloud storage system. The authors address the privacy issue of decentralized cloud storage system using threshold cryptography. The threshold encryption scheme is therefore integrated with a secure decentralized erasure code to form a secure cloud storage system. Zhang et al. in the fourth paper ‘‘How to build a faster private information retrieval protocol’’, propose a secure multi-bit homomorphic encryption scheme based on Learning With Errors over Rings (RLWE) assumption. The authors use canonical embedding to transform ring elements into vectors over Zq, and thus decrease encryption and decryption cost. Then, an efficient private information retrieval protocol that employs this scheme is presented. The fifth paper ‘‘Dual-kernel Based 2D Linear Discriminant Analysis for Face Recognition’’ by Liu and Ye, present a new image feature extraction method for face recognition by integrating multiple kernel discriminant analysis with existing two dimensional linear discriminant analysis method. The experimental results on the ORL and UMIST face databases show the effectiveness of the proposed method. The sixth paper by Li et al. ‘‘Image encryption algorithm with compound chaotic maps’’ propose a novel image encryption scheme based on two even-symmetric chaotic maps and a skew tent chaotic map, consisting of a permutation process and a diffusion process. The performance and security of the proposed method are evaluated thoroughly histogram, correlation of adjacent pixels, information entropy and sensitivity analysis. Results suggest that the scheme is reliable to be adopted for the secure image communication application. Wang et al. in the seventh paper ‘‘Multiobjective optimization algorithm with objective-wise learning for continuous multiobjective problems’’ propose a single objective guided multi-objective optimization framework to solve continuous multi-objective optimization problems (MOPs). In their framework, a solution is selected from archive, and then objective-wise learning strategy is developed to promote the evolution of each objective of the selected solution. A specific instantiation of their framework is implemented and compared with several state-of-the-art multi-objective evolutionary algorithms. In the eighth paper ‘‘A fault-tolerant architecture for ROIA in cloud’’, Liu addresses the needs for highly robust and efficient architecture for supporting real-time online interactive application (ROIA) beyond the C/S or P2P mode. The proposed approach takes advantage of the cloud computing technologies to achieve higher scalability and resource utilization. A new fault-tolerant architecture for ROIA in the Cloud platform, is therefore presented, which is based on cell overlapping technique. This new architecture provides redundancy to enhance the robustness and the scalability of ROIA. Finally, Chen and Yu in the last paper, present a new adaptive method to estimate blind minimum mean square error (MMSE) equalizer with arbitrary delay of single-input-multiple-output (SIMO) channel. By using a recursive least square (RLS)-similar algorithm to recursively update a correlation matrix and its pseudo-inverse, the proposed algorithm ensures convergence and is not sensitive to the initialization of its parameters. The method is evaluated and compared with other batch-type approaches to demonstrate the performance of the proposed method. We would like to thank all the authors for their valuable contributions and the reviewers for their time and constructive feedback during several rounds of review and revision. Fatos Xhafa’s work has been partially supported by funds from the Spanish Ministry for Economy and Competitiveness (MINECO) and the European Union (FEDER funds) under grant COMMAS (ref. TIN2013-46181-C2-1-R).

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Fatos Xhafa, Xiaofeng Chen, Leonard Barolli. Editorial preface for the special issue “Advances in security, privacy and trust technologies”, Journal of Ambient Intelligence and Humanized Computing, 2015, 531-532, DOI: 10.1007/s12652-015-0324-5