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检索条件"机构=Anhui Key Laboratory of Software in Computation and Communication"

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A Hybrid of the prefix algorithm and the q-hidden algorithm for generating single negative databases

A Hybrid of the prefix algorithm and the q-hidden algorithm ...

引用

IEEE Symposium on computational Intelligence in Cyber Security

作者： Liu, Ran Luo, Wenjian Wang, Xufa School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Key Laboratory of Software Engineering in Computing and Communication Hefei 230027 Anhui China

ISBN: (纸本)9781424499069

The negative database (NDB) is a complement of the corresponding database. The NDB could protect the privacy of the data, but it should be complete and hard-to-reverse. However, existent techniques cannot generate the complete and hard-to-reverse negative database. In this paper, a hybrid method is proposed to generate single negative databases. The proposed hybrid method includes two phases. Firstly, a complete negative database with a small size is generated by the transformation of the prefix algorithm. Secondly, a hard-to-reverse negative database, which is generated with the q-hidden method, is added into the small complete negative database. Therefore, the hybrid negative database is both complete and hard-to-reverse. Experiment results show that the NDB generated by the hybrid method is better than the NDB generated by the typical q-hidden method. Especially, the NDB generated by the q-hidden method can be reversed on average when the string length is 300. However, the NDB generated by the hybrid method cannot be reversed on average when the string length is 150. © 2011 IEEE.

关键词： Database systems

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A self-organized algorithm based on digital hormone

A self-organized algorithm based on digital hormone

引用

International Conference on Advanced Computer Theory and Engineering

作者： Xia, Li Xufa, Wang Yang, Lei Haifeng, You Key Laboratory of Software in Computing and Communication Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781424465408

In this paper, a self-organized algorithm for task allocation, based on the hormone reaction-diffusion mechanism, is proposed for a multi-robot system. Hormone messages are used to coordinate the movement of robots. By the regulation of hormones, agents could adjust their behaviors in time and improve the ability of self-organization. A simulation of task allocation in the multi-robot system is performed, experimental results demonstrate that our method can accomplish the task effectively and reduce the total cost. © 2010 IEEE.

关键词： Multipurpose robots

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A hormone-based clustering algorithm in wireless sensor networks

A hormone-based clustering algorithm in wireless sensor netw...

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2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010

作者： Dong, Dayuan You, Haifeng Zhang, Yipeng Wang, Xufa Key Laboratory of Software in Computing and Communication Anhui Province School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781424463503

Clustering problem is one of the hottest issues in wireless sensor networks (WSNs). The strategy for selection of cluster head has not been sufficiently investigated. In this paper, we propose a hormone-based clustering algorithm (HCA) inspired by the communication mechanism of bio-endocrine system to prolong the lifetime of the sensor nodes. Two kinds of hormones, cluster hormone and member hormone, are used in the algorithm. Hormone message can promote a node to become a cluster head or a member node. Comparative experiment shows that the proposed algorithm has effectively prolong the lifetime of WSN compared with LEACH[1] and HEED[2]. © 2010 IEEE.

关键词： Clustering algorithms

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Adversarial Example Defense via Perturbation Grading Strategy 9th

Adversarial Example Defense via Perturbation Grading Strate...

引用

9th International Forum on Digital Multimedia communication, IFTC 2022

作者： Zhu, Shaowei Lyu, Wanli Li, Bin Yin, Zhaoxia Luo, Bin Anhui Provincial Key Laboratory of Multimodal Cognitive Computation Anhui University Hefei China Guangdong Key Laboratory of Intelligent Information Processing and Shenzhen Key Laboratory of Media Security Shenzhen University Shenzhen China School of Communication and Electronic Engineering East China Normal University Shanghai China

ISBN: (纸本)9789819908554

Deep Neural Networks have been widely used in many fields. However, studies have shown that DNNs are easily attacked by adversarial examples, which have tiny perturbations and greatly mislead the correct judgment of DNNs. Furthermore, even if malicious attackers cannot obtain all the underlying model parameters, they can use adversarial examples to attack various DNN-based task systems. Researchers have proposed various defense methods to protect DNNs, such as reducing the aggressiveness of adversarial examples by preprocessing or improving the robustness of the model by adding modules. However, some defense methods are only effective for small-scale examples or small perturbations but have limited defense effects for adversarial examples with large perturbations. This paper assigns different defense strategies to adversarial perturbations of different strengths by grading the perturbations on the input examples. Experimental results show that the proposed method effectively improves defense performance. In addition, the proposed method does not modify any task model, which can be used as a preprocessing module, which significantly reduces the deployment cost in practical applications. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Grading

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Nonlinear characteristics and qualitative analysis of sleep EEG

Nonlinear characteristics and qualitative analysis of sleep ...

引用

2007 1st International Conference on Bioinformatics and Biomedical Engineering, ICBBE

作者： Shao, Chenxi Fan, Jinfeng Li, Shaobin Department of Computer Science and Technology USTC Anhui Province Key Laboratory of Software in Computing and Communication Hefei Anhui 230027 China Department of Computer Science and Technology USTC Hefei Anhui 230027 China

ISBN: (纸本)1424411203

Correlation dimension (CD) and the largest Lyapunov exponent (LLE), which are two most important nonlinear invariant measures of nonlinear system, are adopted to characterize the complexity and stability of human brain during all sleep stages. In order to And an optimal embedding to reconstruct phase space, the C-C method and Cao's algorithm were thoroughly analyzed and implemented in efficient ways. Additionally, the G-P algorithm and Kantz's algorithm are also implemented for calculation of CD and LLE respectively. Eight normal sleep EEG records are acquired from MIT-BIH sleep-EDF database for this study. The values of CD and LLE for 30s epochs are calculated, and their mean and standard deviation values are evaluated as well. The results indicate that CD and LLE decrease from the waking stage to stages I, II and III-IV, and they have large values during rapid eye movement (REM) sleep stage. Then, a qualitative conclusion may be drawn that during waking stage and REM sleep stage, brain activity has higher complexity and lower stability than during other stages. © 2007 IEEE.

关键词： Electroencephalography

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An efficient synchronisation protocol for wireless sensor network

An efficient synchronisation protocol for wireless sensor ne...

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作者： Huang, Liusheng Xu, Hongli Wan, Yingyu Wu, Junmin Li, Hong Department of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Software in Computing and Communication Hefei 230027 China

Time synchronisation is a critical topic in wireless sensor networks for its wide applications, such as data fusion, TDMA scheduling and cooperated sleeping, etc. In this paper, we present an Accurate Time Synchronisation (ATS) protocol based on linear least square for sensor networks. Unlike the previous protocols, all nodes aren't synchronised to some reference nodes or sink node, but to a virtual clock. Moreover, each pair of the nodes is synchronised to each other. The main advantages of ATS are simplicity and accuracy. Especially, the variance of the synchronised drift error is less than Dsδ/ 2β 2, where Ds, δ and β are the depth of the network, the maximal variance of the link delay and the sampling interval, respectively. The experiments show that ATS protocol has achieved at least 37% performance enhancement than the previous pairwise algorithm. Copyright © 2007 Inderscience Enterprises Ltd.

关键词： Synchronization

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Tuning linux's load balancing algorithm for CMT system

Tuning linux's load balancing algorithm for CMT system

引用

2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Peng, Jianzhang Gu, Naijie Li, Yehua Xu, Zhang School of Computer Science and Technology University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Computing and Communication Software USTC SICT Joint Laboratory of Network and Communication Hefei China

ISBN: (纸本)9781479916603

Linux 2.6 load balancing algorithm on scheduling domain supports CMP, CMT, SMP, NUMA architecture. For SMT, the algorithm try to assign the new process to the idlest CPU of the idlest core, and if the first CPU of a core is comparati vely idle, it tries to pull moderate amount of tasks from the busiest CPU of the core to balance the system workload periodically. Under certain circumstances, this strategy would cause the system to be more unbalanced. For the above defects, the algorithm can be adjusted in two ways. (1) The idlest CPU of the entire system should be selects for the new process;(2) the idlest CPU of a scheduling domain periodically can move tasks from the scheduling domain to itself. After applying this optimization, the system's performance achieved the highest increase of 8% in hackbench testing on an 8-core 32-thread XLR532 processor. © 2013 IEEE.

关键词： Linux

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On the self representation based on the adaptive self radius

On the self representation based on the adaptive self radius

引用

4th International Workshop on Advanced computational Intelligence, IWACI 2011

作者： Zhang, Jie Luo, Wenjian School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei 230027 Anhui China

ISBN: (纸本)9781612843735

Self representation problem is very important for the negative selection algorithms. In this paper, two methods, named as K-NN-ASR and B-NN-ASR, are proposed to calculate the self radius of a self sample in the continuous space. As for the K-NN-ASR, the self radius of a self sample is calculated according to the distances from itself to the surrounding self samples. In the B-NN-ASR, both the position of the self sample and the distances to the surrounding self samples are considered. Experiments are done to test the performance of the proposed methods. Experimental results demonstrate that the proposed methods are competitive, and the B-NN-ASR is better. © 2011 IEEE.

关键词： selection algorithm Self tuning CONTINUOUS SPACE

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Stochastic prefix-based fault tolerant source routing algorithm for network on chip

Stochastic prefix-based fault tolerant source routing algori...

引用

2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012

作者： Xu, Gengchun Ren, Kaixin Gu, Naijie Anhui Province Key Laboratory of Computing and Communication Software Hefei China USTC-SICT Joint Laboratory on Network and Communication Hefei China School of Computer Science and Technology University of Science and Technology of China Hefei China

ISBN: (纸本)9781467319386

In this paper, a novel fault-tolerant source routing algorithm for Network on Chip (NOC) called Stochastic Prefix-based Source Routing (SPSR) is proposed. Compared to non-source routing algorithms, it releases the intermediate node from complicated decision-making or routing table maintenance. Unlike the traditional source routing algorithms which use broadcast packets to record the YD of every intermediate node in Route Discovery, it predetermine prospective routes, which can greatly reduces the packets generated and forwarded in the Route Discovery phase, and therefore reduces the power consumption. The proposed routing algorithm is implemented on the open source simulator Nirgam [14], incorporating Orion [15] to estimate the power consumption. Experiment results show that the proposed algorithm can greatly reduce the power consumption in the route discovery and the latency of SPSR is comparable with that of the broadcasting mechanism. © 2012 IEEE.

关键词： Network-on-chip

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SvdNPD: A negative data publication method based on the sensitive value distribution

SvdNPD: A negative data publication method based on the sens...

引用

International Workshop on Artificial Immune Systems, AIS 2015

作者： Wu, Linli Luo, Wenjian Zhao, Dongdong School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9781509002986

Existing data publication methods retain the relationship between the quasi-identifier attributes and sensitive attributes of published data. We call them "positive data publication". However, it will lead to potential risk that attackers could deduce the privacy of the corresponding individuals from the published data. Recently, by combining the negative representation with k-anonymity and l-diversity, (k, m)- anonNPD and (l, m)-divNPD algorithms have been proposed, which improve the degree of privacy because the sensitive value of each individual is transformed into a negative value randomly. However, to reduce the average error of the reconstructed distribution, the data published by (k, m)-anonNPD and (l, m)-divNPD are often much larger than the original data. In this paper, we take the Sensitive Value Distribution into consideration, and propose a novel Negative Data Publication approach (i.e. SvdNPD), which is based on l-diversity. According to the sensitive value distribution, the negative selection probability of the sensitive attribute in each record can be calculated. Then the data could be published by transforming the sensitive value to a negative one with this probability. Experimental results show that the effective usage of the individual sensitive value distribution could enhance the utility of published data. Meanwhile, compared with (l, 1)-divNPD, SvdNPD just sacrifices a tiny privacy degree which is acceptable. © 2015 IEEE.

关键词： Metadata

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