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In order to protect the security and privacy of big data, the cloud storage service needs to enforce effective access control mechanism on user requests. Attribute-Based Encryption is a promising cryptographic access control technique to ensure the end-to-end security of data in cloud. However, the existing ABE researches mainly focus on the efficiency decryption, while the flexibility of policy,...
Footsteps, as a main kind of behavioral trait, are a universally available signal, but constructing an identity verification system based on them remains a challenging problem: footsteps not only reflect a person's physiological basis but also depend on the person's psychological makeup, footwear, and floor. This article describes a novel footstep-identification system. To eliminate footwear and floor...
The main advantages of multilevel inverters are the improved power quality and higher efficiency. Cascaded H-Bridge (CHB) multilevel inverters are widely used in photovoltaic grid-connected generators, electric vehicles and motor drive systems. However, the CHB multilevel inverters require a large number of isolated dc power supplies, which make these inverters complicated to implement in industrial...
Following the wide use of smart devices, biometric cryptosystem is used to protect users' privacy data. However, biometric cryptosystem is rarely used in the scenario of mobile cloud, because the biometric sensors are different on various devices. In this paper, an optional multi-biometric cryptosystem based on fuzzy extractor and secret share technology is proposed. Each of the enrolled biometric...
At present, the level of library management way in most universities is still a manual operation. For the problem of the traditional manual operation is time-consuming and inconvenience, this paper proposes a library management system is designed and implemented based on the web service. In this system, the three-layer architecture is employed, applying model building language that UML carries on...
The paper proposed a novel ant colony optimization (ACO) and quantum particle swarm optimization (QPSO) method for spatial clustering with obstacles constraints (SCOC). We first developed AQPGSOD using ACO and QPSO based on grid model to obtain obstructed distance, and then we presented a new QPKSCOC based on QPSO and K-Medoids to cluster spatial data with obstacles. The experimental results show...
Spatial Clustering with Obstacles Constraints (SCOC) has been a new topic in Spatial Data Mining (SDM). Spatial Obstructed Distance (SOD) is the key to SCOC. The obstacles constraint is generally ignored in computing distance between two points, and it leads to the clustering result which is of no value, so obstructed distance has a great effect upon clustering result. In this paper, we propose a...
Spatial clustering has been an active research area in the data mining community. Spatial clustering is not only an important effective method but also a prelude of other task for spatial data mining (SDM). In this paper, we propose an improved ant colony optimization (IACO) and quantum particle swarm optimization (QPSO) method for spatial clustering with obstacles constraints (SCOC). In the process...
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