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2017 4th International Conference on engineering Technology and Application (ICETA 2017)

作者： Yitong Meng Yimin Liu Jinlong Fei Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing

In order to improve the transmission efficiency, security and anonymity of Tor anonymous communication system, this paper analyzes the efficiency of Tor anonymous system through research and analysis of the security and vulnerability of transmission mechanism, encryption rules and node distribution of Tor anonymous network system, and then proposes an efficient improved model EFTAN for Tor anonymous network, and finally obtains a network system that can improve the efficiency, security and anonymity of the anonymous communication.

关键词： Tor efficiency security anonymity vulnerability improved model

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Cross-Platform Embedded-System Dynamic Information Acquisition Method

Cross-Platform Embedded-System Dynamic Information Acquisiti...

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2017 2nd International Conference on Computer engineering,Information Science and Internet Technology(CII 2017)

作者： YISEN WANG JING JING JIANJING SHEN WEIYU DONG State Key Laboratory of Mathematical Engineering and Advanced Computing

With the widespread application of embedded devices,embedded software vulnerabilities and oriented attacks to embedded system are also *** being wellknown,the hardware architecture of the embedded devices is heterogeneous,and the software stacks on them are customizable and flexible as *** dynamic information extraction and analysis technologies have been successfully used for general platform in vulnerability mining,malicious code detection and so on,its usage on embedded system lags behind *** paper provides(1) a CrossPlatform-Dynamic Instrumentation Framework,which,by leveraging an extensible intermediate code module and a semantic constraint database,decouples the instrumentation plugins from underlying hardware and OS;(2) a set of instrumentation interfaces which may be implemented by plugins to extract runtime state of various code granularity;(3) ability of system semantic introspection to extract processes and modules information(system semantic views),by using system attribute description files and abstract state extraction *** with TEMU and DECAF,our method shows more advantages in performance of abstract state extraction,and reducing the time and memory overhead.

关键词： Cross-Platform Embedded-System Dynamic Information Acquisition Method

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VBD-MF:A Block Device to Monitor the File System of Virtual Machine

VBD-MF:A Block Device to Monitor the File System of Virtual ...

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2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Rui LOU Lie-hui JIANG Yi-sen WANG State Key Laboratory of Mathematical Engineering and Advanced Computing

The virtual block device is the data carrier of virtual machine(VM) and user information,while the file system is the ultimate goal of many *** proposed a security device named virtual block device mapping to file(VBD-MF) that can translate block-level operations into file-level ones by building a mapping from blocks to ***-MF could provide an out-of-VM way to monitor the file system with no modification on the code of virtual machine monitor(VMM)and guest OS,and it also provided other security tools and methods with direct interface to operate the file *** implemented a prototype on Linux and *** evaluation shows that VBD-MF has a better capability of monitoring with some loss on performance of read and *** to the traditional monitoring of host-based file system,VBD-MF has a better hidden and safety property.

关键词： Virtualization Virtual block device File system monitoring File access control

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ShenTu: Processing Multi-Trillion Edge Graphs on Millions of Cores in Seconds 18

ShenTu: Processing Multi-Trillion Edge Graphs on Millions of...

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ACM/IEEE International Conference for High Performance computing, Networking, Storage, and Analysis

作者： Heng Lin Xiaowei Zhu Bowen Yu Xiongchao Tang Wei Xue Wenguang Chen Lufei Zhang Torsten Hoefler Xiaosong Ma Xin Liu Weimin Zheng Jingfang Xu Tsinghua University and Fma Technology Tsinghua University and Qatar Computing Research Institute Tsinghua University State Key Laboratory of Mathematical Engineering and Advanced Computing ETH Zurich Qatar Computing Research Institute National Research Centre of Parallel Computer Engineering and Technology Beijing Sogou Technology Development Co. Ltd

ISBN: (纸本)9781538683859

Graphs are an important abstraction used in many scientific fields. With the magnitude of graph-structured data constantly increasing, effective data analytics requires efficient and scalable graph processing systems. Although HPC systems have long been used for scientific computing, people have only recently started to assess their potential for graph processing, a workload with inherent load imbalance, lack of locality, and access irregularity. We propose ShenTu ⁸ the first general-purpose graph processing framework that can efficiently utilize an entire Petascale system to process multi-trillion edge graphs in seconds. ShenTu embodies four key innovations: hardware specialization, supernode routing, on-chip sorting, and degree-aware messaging, which together enable its unprecedented performance and scalability. It can traverse a record-size 70-trillion-edge graph in seconds. Furthermore, ShenTu enables the processing of a spam detection problem on a 12-trillion edge Internet graph, making it possible to identify trustworthy and spam webpages directly at the fine-grained page level.

关键词： Random access memory Servers Data analysis Supercomputers Task analysis Computer architecture Optimization supercomputer task analysis random access machine Computer Architecture Servers Data analysis core Core samples Scalability Edge of a figure or solid Unsolicited electronic mail

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Intrusion Detection Algorithm Based on Convolutional Neural Network

Intrusion Detection Algorithm Based on Convolutional Neural ...

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2017 4th International Conference on engineering Technology and Application (ICETA 2017)

作者： Yuchen Liu Shengli Liu Xing Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing

A periodic load balancing method is proposed according to the load imbalance of network server in a clustered system of high concurrency. It is divided into different load periods based on the load condition of server node. Corresponding load balancing strategy is adopted for each period that the strategy of fast select is used in the period of small load while the server node with stable response time is first adopted in the period of large load. Periodic load strategy avoids the load imbalance caused by the single load strategy. It can be known from the experimental comparison that the improved periodic load balancing strategy is superior to the load balancing strategy of weighted least connection.

关键词： intrusion detection system deep learning convolution neural network

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A Technique for Bytecode Decompilation of PLC Program

A Technique for Bytecode Decompilation of PLC Program

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Xuefeng LV Yaobin Xie Xiaodong Zhu Lu Ren State Key Laboratory of Mathematical Engineering and Advanced Computing

Program logical controllers(PLCs) are the kernel equipment of industrial control system(ICS) as they directly monitor and control industrial processes. Recently, ICS is suffering from various cyber th

ISBN: (纸本)9781467389808

关键词： Programmable logical controller Bytecode Decompilation Mapping rules address byte decompilation Programmable logic controllers Integrated circuits

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Route Intrusion Detection Based on Long Short Term Memory Recurrent Neural Network

Route Intrusion Detection Based on Long Short Term Memory Re...

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2017 2nd International Conference on Computer engineering,Information Science and Internet Technology(CII 2017)

作者： YUCHEN LIU SHENGLI LIU YANG WANG State Key Laboratory of Mathematical Engineering and Advanced Computing

With the rapid development and extensive use of the Internet,network security is the key point of the current research of computer *** router is the key interconnection equipment in the Internet system,and it is necessary to improve the security of the router *** routing protocol is used in the packet switching *** communication is implemented by each switching node in the network to forward data *** present,most of the router intrusion detection systems are based on the machine learning *** paper proposes a Long Short Term Memory(LSTM) architecture applied to the Recurrent Neural Network(RNN),and uses the KDD Cup 1999 data set to train the IDS *** performance testing,the ability to efficiently and accurately classify network traffic into attacks and normal capabilities.

关键词： Router Intrusion Detection Long Short Term Memory KDD99 dataset Recurrent Neural Network

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Identification of mobile device threats based on PCA-fused neural network

Boletin Tecnico/Technical Bulletin

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Boletin Tecnico/Technical Bulletin 2017年第3期55卷 278-285页

作者： Chu, Sijun Wu, Hao Lu, Yulin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China

To monitor and identify whether a mobile device is under threat or at risk effectively, in this paper, we summarize feature data from threat information of common mobile devices and set up an identification model of mobile device threats based on PCA-fused BP neural network. When extracting features from raw sample data, we consider primary vector information of all training samples. While more than 95% of the information in raw data is reserved, interference information in the data is eliminated and the robustness of the BP network model built subsequently is optimized. Finally, the trained model is tested and compared with other model algorithms. Results show that the overall identification accuracy of the proposed model algorithm reaches 91%. The identification accuracy of test samples reaches 90.4%. Compared with previous identification models, it has higher identification accuracy.

关键词： Neural networks

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Biological data processing based on bio-processor unit(BPU), a new concept for next generation computational biology

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Science China(Life Sciences) 2018年第5期61卷 597-598页

作者： Di Liu Dongbo Bu Tieliu Shi Jianxiao Quan Depeng Wang Yongyong Shi Xiao-Chen Bo Wenbao Han Computational Virology Group Wuhan Institute of Virology Chinese Academy of Sciences Wuhan 430071 China Key Laboratory of InteUigent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Center for Bioinformatics and Computational Biology and the Institute of Biomedical Sciences School of Life Sciences East China Normal University Shanghai 200214 China State Key Laboratory of Mathematical Engineering and Advanced Computation Wuxi 214122 China Jiangsu Variable Supercomputer Tech Co Ltd. Wuxi 214125 China NextOmics Blosctences Wuhan 430074 China Bio-X Institutes Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education) Shanghai Jiao Tong University Shanghai 200030 China Beijing Institute of Radiation Medicine Beifing 100850 China

The revolution of biotechnology has pushed forward life sciences into the Big Data ***,high-throughput bio-techniques have greatly accelerated the integration of biology,computing and informatics,and hence substantially pushed forward the development of bioinformatics and computational *** to the latest report of data deposition within National Centre for Biotechnology Information（NCBI）,the genome sequencing projects have increased 49.94%.

关键词：计算生物学简历处理器数据基信息科学生物信息学生命科学 NCBI

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A WeChat user geolocating algorithm based on the relation between reported and actual distance 1

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9th International Symposium on Cyberspace Safety and Security, CSS 2017

作者： Shi, Wenqi Luo, Xiangyang Zhao, Fan Peng, Ziru Gan, Yong State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China

ISBN: (数字)9783319694719

ISBN: (纸本)9783319694702

The accuracy of existing geolocation methods for WeChat users depends on the stable correspondence between reported distance and actual distance. In view of the difficulty to pinpoint users’ location in real-world due to WeChat location protection strategy, a WeChat User geolocating Algorithm based on reported and actual distance relation analysis is proposed. Firstly, statistical characteristics of the relation between reported distance and actual distance are obtained based on collected data. Secondly, optimization parameters are selected based on these characteristics to determine the space where the target user is located. Finally, stepwise strategies are taken to improve the accuracy rate of space partition. Experimental results show that, on the premise that target users can be discovered, the proposed algorithm could achieve higher accuracy compared with the classical space partition based algorithm and the heuristic number theory based algorithm. The highest geolocating accuracy is within 10 m and 56% of geolocation results are within 60 m. © 2017, Springer International Publishing AG.

关键词： Number theory

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