Special issue on Big Data Security and Intelligent Data in Clouds (BDS‐IDC)

Recently, the demands of big data combining with cloud computing have enabled dramatically growing of intelligent data in various fields. Data security issues have been considered one of the most critical aspects for the implementations of big data and cloud computing. Big Data Security and Intelligent Data in Clouds (BDS-IDC) have been immerse in people’s daily life and are promised to have a great growth in the future, such as smart data analysis, smart big data, sensitiveoriented information protection, and cloud-computing security. Multiple protection approaches and combined security schemes as well as intercrossed cloud platforms are becoming common requirements for many big data and cloud users. Considering the next generation of big data executions, it is expected to integrate big data with approaches of intelligent data in cloud systems. The main challenges of achieving this aim will go across most emerging technologies from cyber security and high performances including effective security mechanism against old and new threats, complex system architectures, computing resources allocation optimizations, distributed heterogeneous computing, energy-saving issues, and using smart data in cyber physical systems. This special issue presents a number of outstanding papers researching in the latest explorations and studies in Big Data Security and Intelligent Data in Clouds.

[1]  Laizhong Cui,et al.  A video recommendation algorithm based on the combination of video content and social network , 2017, Concurr. Comput. Pract. Exp..

[2]  Wanlei Zhou,et al.  The structure of communities in scale‐free networks , 2017, Concurr. Comput. Pract. Exp..

[3]  Bo Li,et al.  Towards a multi‐layers anomaly detection framework for analyzing network traffic , 2017, Concurr. Comput. Pract. Exp..

[4]  Cong Wang,et al.  Virtual network embedding with pre‐transformation and incentive convergence mechanism , 2017, Concurr. Comput. Pract. Exp..

[5]  Kim-Kwang Raymond Choo,et al.  Cloud incident handling and forensic‐by‐design: cloud storage as a case study , 2017, Concurr. Comput. Pract. Exp..

[6]  Fei Wu,et al.  Modeling recommender systems via weighted bipartite network , 2017, Concurr. Comput. Pract. Exp..

[7]  Hongwei Du,et al.  Running state of the high energy consuming equipment and energy saving countermeasure for chinese petroleum industry in cloud computing , 2017, Concurr. Comput. Pract. Exp..

[8]  Keke Gai,et al.  A novel social network access control model using logical authorization language in cloud computing , 2017, Concurr. Comput. Pract. Exp..

[9]  Donghyun Kim,et al.  A new outsourcing conditional proxy re‐encryption suitable for mobile cloud environment , 2017, Concurr. Comput. Pract. Exp..

[10]  Kim-Kwang Raymond Choo,et al.  Forensic data acquisition from cloud‐of‐things devices: windows Smartphones as a case study , 2017, Concurr. Comput. Pract. Exp..

[11]  Feng Wang,et al.  Defense against malicious URL spreading in micro‐blog network with hub nodes , 2017, Concurr. Comput. Pract. Exp..

[12]  Chao Yang,et al.  BRGP: a balanced RDF graph partitioning algorithm for cloud storage , 2017, Concurr. Comput. Pract. Exp..

[13]  Shaojie Tang,et al.  Taming the big to small: efficient selfish task allocation in mobile crowdsourcing systems , 2017, Concurr. Comput. Pract. Exp..

[14]  Joel J. P. C. Rodrigues,et al.  Characteristics analysis and optimization design of entities collaboration for cloud manufacturing , 2017, Concurr. Comput. Pract. Exp..

[15]  Pranjal Singh,et al.  A comparison of classifiers and features for authorship authentication of social networking messages , 2017, Concurr. Comput. Pract. Exp..

[16]  Jian Yang,et al.  An energy‐aware virtual machine scheduling method for service QoS enhancement in clouds over big data , 2017, Concurr. Comput. Pract. Exp..

[17]  Fang Dong,et al.  A resource allocation game with restriction mechanism in VANET cloud , 2017, Concurr. Comput. Pract. Exp..

[18]  Keke Gai,et al.  Adaptive human detection approach using FPGA‐based parallel architecture in reconfigurable hardware , 2017, Concurr. Comput. Pract. Exp..

[19]  Ning Sun,et al.  A cooperative offloading game on data recovery for reliable broadcast in VANET , 2017, Concurr. Comput. Pract. Exp..