National Institute of Standards and Technology における超伝導研究及び生活

A survey on machine learning for data fusion

Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions

Face identification and resolution technology is crucial to ensure the identity consistency of humans in physical space and cyber space. In the current Internet of Things (IoT) and big data situation, the increase of applications based on face identification and resolution raises the demands of computation, communication, and storage capabilities. Therefore, we have proposed the fog computing-based face identification and resolution framework to improve processing capacity and save the bandwidth. However, there are some security and privacy issues brought by the properties of fog computing-based framework. In this paper, we propose a security and privacy preservation scheme to solve the above issues. We give an outline of the fog computing-based face identification and resolution framework, and summarize the security and privacy issues. Then the authentication and session key agreement scheme, data encryption scheme, and data integrity checking scheme are proposed to solve the issues of confidentiality, integrity, and availability in the processes of face identification and face resolution. Finally, we implement a prototype system to evaluate the influence of security scheme on system performance. Meanwhile, we also evaluate and analyze the security properties of proposed scheme from the viewpoint of logical formal proof and the confidentiality, integrity, and availability (CIA) properties of information security. The results indicate that the proposed scheme can effectively meet the requirements for security and privacy preservation.

Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things

Fake online reviews in e-commerce significantly affect online consumers, merchants, and, as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still lacks a survey that can systematically analyze and summarize its antecedents and consequences. This study proposes an antecedent–consequence–intervention conceptual framework to develop an initial research agenda for investigating fake reviews. Based on a review of the extant literature on this issue, we identify 20 future research questions and suggest 18 propositions. Notably, research on fake reviews is often limited by lack of high-quality datasets. To alleviate this problem, we comprehensively compile and summarize the existing fake reviews-related public datasets. We conclude by presenting the theoretical and practical implications of the current research.

Fake online reviews: Literature review, synthesis, and directions for future research

To help people live better in today's digitally explosive environment, the authors envision a Cyber-Individual (Cyber-I) that is the counterpart of a real individual in the physical world.

Cyber-Individual Meets Brain Informatics

Cyber-Individual, with a short term 'Cyber-I', is a real individual's counterpart in cyberspace. It is closely related to human-centric computing ideology which focuses on placing human in the center of computing. The study on Cyber-I tries to re-examine and analyze human essence in the digital era. Cyber-I's vision is to create a unique, digital, comprehensive description for every real person being in the cyberspace. Human's social context, mood, temper, physical status and so on also need to be considered for such a full description. Further research on social computing, antropology, human behaviour study, psycology and other fields/disciplines are required to enrich Cyber-I concept, meanwhile, Cyber-I will also raise new problems to these fields/disciplines. The IT technologies on the whole including ubiquitous computing, pervasive sensors, wired/wireless networks and clouds will bring Cyber-I vision into practice. In this paper, we first present the Cyber-I concept, its important characteristics and basic architecture. Then, we discuss the special features of Cyber-I as compared with other related concepts and studies including AR (Augmented Reality), HCI (Human Computer Interaction), AI, artificial life, etc. The Cyber-I layered architecture and basic elements are described in detail, and the associations between Cyber-I and the corresponding real individual are explained as well. Finally, fundamental problems and challenging issues brought by Cyber-I are addressed in terms of necessary technique, security, privacy, ethic, philosophy, etc.

Cyber-I: Vision of the Individual's Counterpart on Cyberspace

An approach to rank reviews by fusing and mining opinions based on review pertinence

Graphics Processing Unit (GPU) has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational capability. The introduction of Compute Unified Device Architecture (CUDA) simplifies the software development on GPU and allows direct access to GPU resources. It’s an effective way to improve the hashing performance in high-speed network and storage systems by using GPU as a coprocessor of CPU to execute the hash encryption algorithm. This paper puts forward a CUDA-based design of the MD5 hash algorithm on GPU according to the specific application needs and presents its implementation as well as its comprehensive optimization in terms of the characteristics of GPU and CUDA. Keywords-GPU; CUDA; MD5; Hash Function

High Throughput Implementation of MD5 Algorithm on GPU

Driven by the insatiable demand of real-time graphics, especially from the market of computer games, Graphics Processing Unit (GPU) is becoming a major computing horsepower during recent years since the performance of GPU is surpassing that of the contemporary CPU. This paper presents our study on how to efficiently recover the passwords for encrypted RAR files. Our research focus is on the AES key generation processing, which is the most time consuming stage in the whole RAR encryption/decryption process. The design and implementation of the password recovery are based on NVIDIA's CUDA (Computer Unified Device Architecture). A CPU-based version is also implemented as a reference and the performance comparison with that of the GPU-based version. In addition, a modified model is proposed to estimate the performance by static analysis of code for and then further assist program optimization.

Benxiong Huang

Papers

Cyber-Individual Meets Brain Informatics

Cyber-I: Vision of the Individual's Counterpart on Cyberspace

An approach to rank reviews by fusing and mining opinions based on review pertinence

High Throughput Implementation of MD5 Algorithm on GPU

Password Recovery for RAR Files Using CUDA