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Utilization-Aware Data Variable Allocation on NVM- Based SPM in Real-Time Embedded Systems

Journal of Electronic Science and Technology 2021年第2期19卷 163-172页

作者： Jin-Yu Zhan Yi-Xin Li Wei Jiang Jun-Huan Yang School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610054 State Key Lab of Mathematical Engineering and Advanced Computing Wuxi 214000

With the development of the nonvolatile memory(NVM),using NVM in the design of the cache and scratchpad memory(SPM)has been *** paper presents a data variable allocation(DVA)algorithm based on the genetic algorithm for NVM-based SPM to prolong the *** lifetime can be formulated indirectly as the write counts on each SPM *** the differences between global variables and stack variables,our optimization model has three *** constraints of the central processing unit(CPU)utilization and size are used for all variables,while no-overlay constraint is only used for stack *** satisfy the constraints of the optimization model,we use the greedy strategy to generate the initial population which can determine whether data variables are allocated to SPM and distribute them evenly on SPM ***,we use the Mälardalen worst case executive time(WCET)benchmark to evaluate our *** experimental results show that the DVA algorithm can not only obtain close-to-optimal solutions,but also prolong the lifetime by 9.17% on average compared with SRAM-based SPM.

关键词： Data variables allocation genetic algorithm nonvolatile momory(NVM) scratchpad memory(SPM)

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IP-geolocater:a more reliable IP geolocation algorithm based on router error training

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Frontiers of Computer Science 2022年第1期16卷 101-111页

作者： Shuodi ZU Xiangyang LUO Fan ZHANG State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Zhengzhou Science and Technology Institute Zhengzhou450001China

Location based services(LBS)are widely utilized,and determining the location of users’IP is the foundation for *** by unstable delay and insufficient landmarks,the existing geolocation algorithms have problems such as low geolocation accuracy and uncertain geolocation error,difficult to meet the requirements of LBS for accuracy and reliability.A new IP geolocation algorithm based on router error training is proposed in this manuscript to improve the accuracy of geolocation results and obtain the current geolocation error ***,bootstrapping is utilized to divide the landmark data into training set and verification set,and/24 subnet distribution is utilized to extend the training ***,the path detection is performed on nodes in the three data sets respectively to extract the metropolitan area network(MAN)of the target city,and the geolocation result and error of each router in MAN are obtained by training the detection ***,the MAN is utilized to get the target’s *** on China’s 24,254 IP geolocation experiments,the proposed algorithm has higher geolocation accuracy and lower median error than existing typical geolocation algorithms LBG,SLG,NNG and RNBG,and in most cases the difference is less than 10km between estimated error and actual error.

关键词： estimated error geolocation path detection network measurement

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A Formalization Research on Web Server and Scheduling Strategy for Heterogeneity

A Formalization Research on Web Server and Scheduling Strate...

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2016 IEEE advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)

作者： Bolin Ma Zheng Zhang Yongsheng Zhu State key Laboratory of Mathematical Engineering And Advanced Computing MEAC

ISBN: (纸本)9781509001668

Most web service systems are built in a static configuration web server or re dundant same web ***,traditional web service system make it easy for a cyber adversary to plan and launch *** improve the cyber security,mimic security defense where heterogeneity play an important role has been proposed to increase the difficulty for the adversary to launch successful *** this paper,we first present a formal description of heterogeneous web servers and a method how to measure the heterogeneity of web *** addition,we also present the scheduling strategy for heterogeneous web servers and demonstrate the effectiveness of this strategy in a general heterogeneous web service *** strategy of heterogeneous web servers scheduling can disrupt the vicious scan,deceive the judgment about vulnerability and prevent some vulnerabilities being found that make vulnerability attacks difficult.

关键词： Cyb er Security Heterogeneity Scheduling Strategy

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Parallelizing Sparse LU Decomposition on FPGAs

Parallelizing Sparse LU Decomposition on FPGAs

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11th International Conference on Field-Programmable Technology (FPT)

作者： Wu, Guiming Xie, Xianghui Dou, Yong Sun, Junqing Wu, Dong Li, Yuan State Key Laboratory of Mathematical Engineering and Advanced Computing China

ISBN: (纸本)9781467328463;9781467328449

Sparse LU decomposition is the core computation in the direct method that solves sparse systems of linear equations. Only little work has been conducted on parallelizing it on FPGAs. In this paper, we study parallelization strategies for sparse LU decomposition on FPGAs. We first analyze how to parallelize the right-looking algorithm and find that this algorithm is not suitable for FPGAs. Then the left-looking algorithm is analyzed and considered as better candidate than the right-looking version. Our design derived from the left-looking algorithm is based on a simple yet efficient parallel computational model for FPGAs. Our design mainly consists of multiple parallel processing elements (PEs). A total of 14 PEs can be integrated into a Xilinx Virtex-5 XC5VLX330. Unlike related work, where their designs are applied to sparse matrices from particular application domains, our hardware design can be applied to any symmetric positive definite or diagonally dominant matrices.

关键词： Sparse matrices Random access memory Algorithm design and analysis Parallel processing Field programmable gate arrays Matrix decomposition Hardware

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IP-Pealing: A Robust Network Flow Watermarking Method Based on IP Packet Sequence

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Chinese Journal of Electronics 2024年第3期33卷 694-707页

作者： Wangxin FENG Xiangyang LUO Tengyao LI Chunfang YANG State Key Laboratory of Mathematical Engineering and Advanced Computing Key Laboratory of Cyberspace Situation Awareness of Henan Province

Network flow watermarking(NFW) is usually used for flow *** actively modulating some features of the carrier traffic,NFW can establish the correspondence between different network *** the face of strict demands of network traffic tracing,current watermarking methods cannot work efficiently due to the dependence on specific protocols,demand for large quantities of packets,weakness on resisting network channel interferences and so *** this end,we propose a robust network flow watermarking method based on IP packet sequence,called as *** is designed to utilize the packet sequence as watermark carrier with IP identification field which is insensitive to time jitter and suitable for all IP based *** enhance the robustness against packet loss and packet reordering,the detection sequence set is constructed in terms of the variation range of packet sequence,correcting the possible errors caused by the network *** improve the detection accuracy,the long watermark information is divided into several short sequences to embed in turn and assembled during *** a large number of experiments on the Internet,the overall detection rate and accuracy of IP-Pealing reach 99.91% and 99.42%*** comparison with the classical network flow watermarking methods,such as PROFW,IBW,ICBW,WBIPD and SBTT,the accuracy of IP-Pealing is increased by 13.70% to 54.00%.

关键词： Network flow watermarking IP packet sequence Detection sequence set Fast detection Robustness

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QUANTUM COLLISION SEARCH ALGORITHM AGAINST NEW FORK-256

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Journal of Electronics(China) 2014年第4期31卷 366-370页

作者： Du Fangwei Wang Hong Ma Zhi State Key Laboratory of Mathematical Engineering and Advanced Computing

In order to improve the attack efficiency of the New FORK-256 function, an algorithm based on Grover's quantum search algorithm and birthday attack is proposed. In this algorithm, finding a collision for arbitrary hash function only needs O(2m/3) expected evaluations, where m is the size of hash space value. It is proved that the algorithm can obviously improve the attack efficiency for only needing O(2 74.7) expected evaluations, and this is more efficient than any known classical algorithm, and the consumed space of the algorithm equals the evaluation.

关键词： Quantum computation Quantum collision Grover's search algorithm New FORK-256CLC number:TN918.1

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Integrating a weighted-average method into the random walk framework to generate individual friend recommendations

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Science China(Information Sciences) 2017年第11期60卷 43-64页

作者： Jibing GONG Xiaoxia GAO Hong CHENG Jihui LIU Yanqing SONG Mantang ZHANG Yi ZHAO School of Information Science and Engineering Yanshan University The Key Lab for Computer Virtual Technology and System Integration Yanshan University State Key Lab of Mathematical Engineering and Advanced Computing Department of Systems Engineering and Engineering Management The Chinese University of Hong Kong

Friend recommendation is a fundamental service in both social networks and practical applications,and is influenced by user behaviors such as interactions, interests, and activities. In this study, we first conduct in-depth investigations on factors that affect recommendation results. Next, we design Friend++, a hybrid multi-individual recommendation model that integrates a weighted average method(WAM) into the random walk(RW) framework by seamlessly employing social ties, behavior context, and personal information. In Friend++, the first plus signifies recommending a new friend through network features, while the second plus stands for using node features. To verify our method, we conduct experiments on three social datasets crawled from the Sina microblog system(Weibo). Experimental results show that the proposed method significantly outperforms six baseline methods in terms of recall, precision, F1-measure, and MAP. As a final step, we describe a case study that demonstrates the scalability and universality of our method. Through discussion, we reach a meaningful conclusion: although common interests are more important than user activities in making recommendations, user interactions may be the most important factor in finding the most appropriate potential friends.

关键词： multi-individual friend recommendation architecture behavior context analysis Intimacy degree random walk framework social networks

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CATH: an effective method for detecting denial-of-service attacks in software defined networks

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Science China(Information Sciences) 2019年第3期62卷 75-89页

作者： Yi GUO Fu MIAO Liancheng ZHANG Yu WANG State Key Laboratory of Mathematical Engineering and Advanced Computing Institute for Network Science and Cyberspace Tsinghua University School of Computer Science Henan University of Engineering

Software defined networks(SDNs) are innovative network frameworks that have recently received wide attention. Their programming flexibility facilitates automatic network management and control, thus mitigating existing issues in the traditional network architecture. However, SDNs face several security risks,in particular denial-of-service(DoS) attacks, the most common and serious network attacks. To address such a threat, an SDN-DoS attack detection method is proposed based on fusing multiple flow features for describing the network catastrophe between the normal and the attack state. Several statistic attributes of SDN flow information are first chosen as detection features; subsequently, the cusp model is used to establish a catastrophe equilibrium surface for SDN states. After being trained, the cusp catastrophe model can be utilized to infer whether an SDN is under DoS attack. The experimental results demonstrate that the method can effectively and timely perceive SDN-DoS attacks, not only in simple networks but also in larger enterprise networks.

关键词： DoS attacks software defined network flow features cusp model equilibrium surface

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Universally composable anonymous password authenticated key exchange

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Science China(Information Sciences) 2017年第5期60卷 153-168页

作者： Xuexian HU Jiang ZHANG Zhenfeng ZHANG Jing XU Trusted Computing and Information Assurance Laboratory Institute of SoftwareChinese Academy of Sciences State Key Laboratory of Mathematical Engineering and Advanced Computing Science and Technology on Information Assurance Laboratory State Key Laboratory of Cryptology

Anonymous password authenticated key exchange(APAKE) is an important cryptographic primitive, through which a client holding a password can establish a session key with a server both authentically and anonymously. Although the server is guaranteed that the client in communication is from a pre-determined group, but the client’s actual identity is protected. Because of their convenience, APAKE protocols have been widely studied and applied to the privacy protection research. However, all existing APAKE protocols are handled in stand-alone models and do not adequately settle the problem of protocol composition, which is a practical issue for protocol implementation. In this paper, we overcome this issue by formulating and realizing an ideal functionality for APAKE within the well-known universal composability(UC) framework, which thus guarantees security under the protocol composition operations. Our formulation captures the essential security requirements of APAKE such as off-line dictionary attack resistance, client anonymity and explicit mutual authentication. Moreover, it addresses the arbitrary probabilistic distribution of passwords. The construction of our protocol, which utilizes SPHF-friendly commitments and CCA2-secure encryption schemes, can be instantiated and proven secure in the standard model, i.e., without random oracle heuristics.

关键词： anonymous password authentication key exchange universal composability provable security standard model

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IP2vec:an IP node representation model for IP geolocation

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Frontiers of Computer Science 2024年第6期18卷 189-204页

作者： Fan ZHANG Meijuan YIN Fenlin LIU Xiangyang LUO Shuodi ZU State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001China Key Laboratory of Cyberspace Situation Awareness of Henan Province Zhengzhou 450001China

IP geolocation is essential for the territorial analysis of sensitive network entities,location-based services(LBS)and network fraud *** has important theoretical significance and application ***-based IP geolocation is a hot research ***,the existing IP geolocation algorithms cannot effectively utilize the distance characteristics of the delay,and the nodes’connection relation,resulting in high geolocation *** is challenging to obtain the mapping between delay,nodes’connection relation,and geographical *** on the idea of network representation learning,we propose a representation learning model for IP nodes(IP2vec for short)and apply it to street-level IP ***2vec model vectorizes nodes according to the connection relation and delay between nodes so that the IP vectors can reflect the distance and topological proximity between IP *** steps of the street-level IP geolocation algorithm based on IP2vec model are as follows:Firstly,we measure landmarks and target IP to obtain delay and path information to construct the network ***,we use the IP2vec model to obtain the IP vectors from the network ***,we train a neural network to fit the mapping relation between vectors and locations of ***,the vector of target IP is fed into the neural network to obtain the geographical location of target *** algorithm can accurately infer geographical locations of target IPs based on delay and topological proximity embedded in the IP *** cross-validation experimental results on 10023 target IPs in New York,Beijing,Hong Kong,and Zhengzhou demonstrate that the proposed algorithm can achieve street-level *** with the existing algorithms such as Hop-Hot,IP-geolocater and SLG,the mean geolocation error of the proposed algorithm is reduced by 33%,39%,and 51%,respectively.

关键词： IP geolocation network measurement node embedding

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