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2nd EAI International Conference on Security and Privacy in New Computing Environments, SPNCE 2019

作者： Zhao, Chunhui Wang, Chundong Zheng, Wenbai Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9783030213725

With the widespread use of the Android operating system, the number of applications based on the Android platform is growing. How to effectively identify malware is critical to the security of phones. This paper proposes an Android malware detection method based on the combination of sensitive permissions and API features. This method extracts the permission features and API features by decompiling the APK file, and then uses the mutual information to select sensitive permissions and APIs as feature sets. On this basis, an ensemble learning model based on decision tree classifier and KNN classifier is used to quickly and accurately detect unknown APKs. The experimental results show that the discriminative accuracy of the proposed method is higher than that of the permission set or the API set alone, and the accuracy rate can reach up to 95.5%. © 2019, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Android malware

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Android Malware Detection Using Ensemble Learning on Sensitive APIs 1st

Android Malware Detection Using Ensemble Learning on Sensiti...

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1st EAI International Conference on Edge Computing and IoT: systems, Management and Security, ICECI 2020

作者： Yu, Junhui Zhao, Chunlei Zheng, Wenbai Li, Yunlong Zhang, Chunxiang Chen, Chao Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9783030734282

In recent years, with the quiet popularity of mobile payment methods, mobile terminal equipment also have potential security problems while facilitating people’s lives. Behavior-based Android malware detection is mostly based on permission analysis and API calls. In this paper, we propose a static Android malicious detection scheme based on sensitive API calls. We extracted all APIs called in the experimental samples through decompilation, and then calculated and ranked the threats related to these APIs according to the mutual information model, selected the top 20 sensitive API calls, and generated a 20-dimensional feature vector for each application. In the classification process, an integrated learning model based on DT classifier, kNN classifier and SVM classifier is used to effectively detect unknown APK samples. We collected 516 benign samples and 528 malicious samples. Through a large number of experiments, the results show that the accuracy of our scheme can be up to 94%, and the precision is up to 95%. © 2021, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Android malware

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Multi-block SSD based on small object detection for UAV railway scene surveillance

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Chinese Journal of Aeronautics 2020年第6期33卷 1747-1755页

作者： Yundong LI Han DONG Hongguang LI Xueyan ZHANG Baochang ZHANG Zhifeng XIAO North China University of Technology Beijing 100144China Key Laboratory of Large Structure Health Monitoring and Control Shijiazhuang 050043China Unmanned System Research Institute Beihang UniversityBeijing 100083China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100083China State Key Laboratory of Information Engineering in Surveying Wuhan UniversityWuhan 430079China

A method of multi-block Single Shot Multi Box Detector(SSD)based on small object detection is proposed to the railway scene of unmanned aerial vehicle *** address the limitation of small object detection,a multi-block SSD mechanism,which consists of three steps,is ***,the original input images are segmented into several overlapped ***,each patch is separately fed into an SSD to detect the ***,the patches are merged together through two *** the first stage,the truncated object of the sub-layer detection result is *** the second stage,a sub-layer suppression and filtering algorithm applying the concept of non-maximum suppression is utilized to remove the overlapped boxes of *** boxes that are not detected in the main-layer are *** addition,no sufficient labeled training samples of railway circumstance are available,thereby hindering the deployment of SSD.A two-stage training strategy leveraging to transfer learning is adopted to solve this *** deep learning model is preliminarily trained using labeled data of numerous auxiliaries,and then it is refined using only a few samples of railway scene.A railway spot in China,which is easily damaged by landslides,is investigated as a case *** results show that the proposed multi-block SSD method produces an overall accuracy of 96.6%and obtains an improvement of up to 9.2%compared with the traditional SSD.

关键词： Deep learning Multi-block Single Shot MultiBox Detector(SSD) Objection detection Railway scene Unmanned aerial vehicle remote sensing

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Discrete Geometric Coded Data Layout for Large-scale Object Storage systems 21

Discrete Geometric Coded Data Layout for Large-scale Object ...

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21st IEEE International Symposium on Parallel and Distributed Processing with Applications, 13th IEEE International Conference on Big Data and Cloud Computing, 16th IEEE International Conference on Social Computing and Networking and 13th International Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Tian, Yi Xu, Guangping Yang, Hongzhang Ni, Yue Cao, JiaXin Yang, Lei Tianjin University of Technology School of Computer Science and Engineering Tianjin China Novel Software Technology Tianjin Key Laboratory of Intelligence Computing Tianjin China Key Laboratory of Computer Vision and System Ministry of Education China Information Technology Co. Ltd. China

ISBN: (纸本)9798350329223

Regenerating codes are new network codes proposed to reduce the data required for fault repair, which can improve the recovery efficiency of faulty nodes in data storage systems. However, unlike Reed-Solomon code, which repairs at the granularity of bytes, regenerating codes require data stored in large chunks but leads to severe read amplification, which reads out excess data when degraded read objects and increases degraded read time. That reflects a mutual constraint between improving recovery efficiency and degraded read performance, as manifested in the amplification of data reads, a vital issue considered in this *** solve this problem, we propose a new type of data layout - discrete geometric, which splits the object into a series of geometric sequences of data blocks. They are placed discretely into corresponding containers on the disks at different nodes, with containers of the same size made into a strip for encoding. The discrete characteristic ensures lower repair costs for degraded reads. The geometric characteristic ensures the repair performance of regenerating codes by large blocks, and read amplification can be mitigated through small blocks. To reduce IOPS for discrete geometric, we propose Discrete Geometric-Locally Regenerating Codes (DG-LRCs), guaranteeing lower degraded read latency while improving recovery *** results show that the degraded read time of DG-LRCs compared to regenerating codes combined with geometric partitioning is 22.56% lower at 2Gbpsand 60.56% lower at 4Gbps, and the recovery performance is 7.04 times better than that of RS code. © 2023 IEEE.

关键词： Efficiency

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Redundant data composition of peers in p2p streaming systems using cauchy reed-solomon codes

Redundant data composition of peers in p2p streaming systems...

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6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Xu, Guangping Wang, Fayu Zhang, Hua Li, Jingxing Key Lab of Intelligent Computing and New Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9780769537351

Erasure codes are used in many distributed applications. This paper applies Cauchy Reed-Solomon codes to P2P streaming systems which is different from classical Reed-Solomon codes. Due to churn in these systems, streaming data composition is vital for system management. We mainly concern about how to apply the coding into these systems and present the interaction among the peers and effective buffer management. This distributed sources increase the selection on disseminated encoded data and therefore statistically enhances the overall performance. © 2009 IEEE.

关键词： Reed-Solomon codes

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A new method of mobile Ad Hoc network routing based on improved GF strategy 3

A new method of mobile Ad Hoc network routing based on impro...

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3rd IEEE International Conference on Smart Internet of Things, SmartIoT 2019

作者： Li, Ke Zhang, De-Gan Qiu, Jian-Ning Chen, Lu Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin300384 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin China

ISBN: (纸本)9781728134888

We propose a new mobile ad hoc network routing method based on improved GF (greedy forwarding) strategy in this paper. In the greedy forwarding phase, the reliable communication area is calculated, and then the quality of the link is evaluated according to the relative displacement between the nodes and the maintenance time of the link. Then, according to the quality of the link, the distance from the candidate node to the destination node, and the number of the neighbor nodes, the metric value is obtained, and the node with the large metric value is selected as the next hop. When a routing hole occurs, the waiting forwarding mode is used for a period of time. After a period of time, if the current node is still a routing hole node, the right-hand rule and the left-hand rule are used, and the bypass mode is performed simultaneously. By considering three factors of the deflection angle and the residual energy of the node and the maintenance time of the link, the forwarding node as the next hop with the highest priority value is selected in each direction. According to experiments, the method of this paper has achieved good experimental results. © 2019 IEEE.

关键词： Energy utilization

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A kind of novel RSAR protocol for mobile vehicular Ad hoc network

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CCF Transactions on Networking 2019年第2期2卷 111-125页

作者： De-gan Zhang Xiao-huan Liu Yu-ya Cui Lu Chen Ting Zhang Key Laboratory of Computer Vision and System and (Tianjin University of Technology) Ministry of Education Tianjin University of Technology

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An efficient image processing method based on web services for mobile devices

An efficient image processing method based on web services f...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Yi, Liang Yingyuan, Xiao Jing, Huang Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9781424441310

The resource limitation of mobile devices causes the problem that the existing image processing software based on the centralized computing mode had difficulty running in mobile devices. A solution is given in the paper by adopting web service-based image processing method. For one thing, image processing tasks were distributed to service providers' service registry and service requesters. For another, what the service providers should do was only to invocate the specific image processing services provided by service providers. Consequently, web service-based solution reduces the resource consumption of mobile devices by redistributing image processing tasks. Compared with traditional methods of image processing, Web service-based image processing method has the advantages of loose coupling and component oriented and can take full advantage of the computing resources in heterogeneous network. Thus web service-based image processing method can effectively solve the resource bottle-neck that traditional image processing software had. ©2009 IEEE.

关键词： Web services

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New Method of Traffic Flow Forecasting Based on QPSO Strategy for Internet of Vehicles 4

New Method of Traffic Flow Forecasting Based on QPSO Strateg...

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4th IEEE International Conference on Smart Internet of Things, SmartIoT 2020

作者： Zhang, De-Gan Du, Jing-Yu Zhang, Ting Fan, Hong-Rui Tianjin University of Technology Tianjin Key Lab of Intelligent Computing Novel Software Technology Tianjin300384 China Tianjin University of Technology Ministry of Education Key Laboratory of Computer Vision and System Tianjin China

ISBN: (纸本)9781728165141

We propose a new method of traffic flow forecasting based on quantum particle swarm optimization strategy (QPSO) for Internet of Vehicles (IOV). Establish a corresponding model based on the characteristics of the traffic flow data. The genetic simulated annealing method is applied to the quantum particle swarm method to obtain the optimized initial cluster center, and is applied to the parameter optimization of the radial basis neural network prediction model. The function approximation of radial basis neural network can be used to obtain the required data. In addition, in order to compare the performance of the methods, a comparison study with other related methods such as QPSO-RBF is also performed. Our method can reduce prediction errors and get better and more stable prediction results. © 2020 IEEE.

关键词： Forecasting

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A new method of image data fusion based on FNN

A new method of image data fusion based on FNN

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2010 6th International Conference on Natural Computation, ICNC'10

作者： Zhang, De-Gan Li, Chao Wang, Dong Zhang, Xiao-Li Tianjin Key Lab. of Intelligent Computing and Novel Software Technology Tianjin University of Technology 300191 China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education 300191 China

ISBN: (纸本)9781424459612

The image data are obtained by a variety of multimedia, information equipment, which include amount of information, extensive coverage, and redundancy in ubiquitous computing paradigm. In order to make use of these information reasonably and efficiently, it is necessary to fuse such massive data, therefore the multi-sensor image information fusion become a key technology to ubiquitous computing. A new approach of image data fusion based on fuzzy neural network (FNN) is presented in this paper. Here, neural network is a parallel information processing model, there are more adaptive and self-organization, and can accomplish the complexity of real-time computing and mass data retrieval, it demonstrate its unique superiority of image understanding, pattern recognition and the handling of incomplete information. In the new approach, fuzzy theory has the advantages such as: easy-to-understand, flexible and inclusive of non-precise data, as well as using expert knowledge and based on the natural language. The fuzzy neural network system developed by us has used in multi-sensor image fusion, proved that the fusion is fast, effective, good, and can meet the real-time requirements of ubiquitous computing. ©2010 IEEE.

关键词： Fuzzy neural networks

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