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arXiv 2019年

作者： Wen, Jinming Chang, Xiao-Wen Weng, Jian College of Information Science and Technology College of Cyber Security Jinan University Guangzhou510632 China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing100093 School of Computer Science McGill University MontrealH3A 0E9 Canada

The Korkine-Zolotareff (KZ) reduction is a widely used lattice reduction strategy in communications and cryptography. The Hermite constant, which is a vital constant of lattice, has many applications, such as bounding the length of the shortest nonzero lattice vector and orthogonality defect of lattices. The KZ constant can be used in quantifying some useful properties of KZ reduced matrices. In this paper, we first develop a linear upper bound on the Hermite constant and then use the bound to develop an upper bound on the KZ constant. These upper bounds are sharper than those obtained recently by the first two authors. Some examples on the applications of the improved upper bounds are also presented. Copyright © 2019, The Authors. All rights reserved.

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Characterization of the MSE Region under a Total Power Budget for Asynchronous Two-Way Relay Networks

Characterization of the MSE Region under a Total Power Budge...

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Asilomar Conference on Signals, Systems & computers

作者： Razgar Rahimi Shahram Shahbazpanahi Björn Ottersten Department of Electrical Computer and Software Engineering Univ. of Ontario Institute of Technology Oshawa Canada Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg Luxembourg

ISBN: (数字)9781728143002

ISBN: (纸本)9781728143019

We consider a single-carrier bi-directional asynchronous relay network, where two single-antenna transceivers exchange information with the help of multiple single-antenna amplify-and-forward relays. This network is asynchronous in the sense that the signal transmitted by any of the two transceivers arrives at the other transceiver through different relaying paths with different delays, thereby materializing a multi-path channel which can cause inter-symbol-interference in the received signal. In such a network, assuming linear post-channel block equalization is used at the receiver front-end of the two transceivers, this paper presents a rigorous characterization of the region of the mean-squared errors (MSEs) of the symbol estimates at the two transceivers under a total power budget.

关键词： Transceivers Relay networks (telecommunications) Delays Minimization Array signal processing Equalizers

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BlockCAM: A blockchain-based cross-domain authentication model 3

BlockCAM: A blockchain-based cross-domain authentication mod...

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3rd IEEE International Conference on Data Science in cyberspace, DSC 2018

作者： Wang, Wentong Hu, Ning Liu, Xin School of Cyberspace Security National University of Defense Technology Changsha China Department of Computer Engineering and Applied Math Changsha University Changsha China

ISBN: (纸本)9781538642108

In a distributed network environment, companies and institutions have their own sharing resource. To prevent unauthorized users to access these shared resources, cross-domain authentication is necessary. For ensuring the safety and efficiency to access resources in different domain, we propose a blockchain-based cross-domain authentication model called BlockCAM and designed the cross-domain authentication protocol. BlockCAM employs consortium blockchain technology to construct a decentralized network with the root Certificate Authorities as the verification nodes. The hash values of the authorized certificates are stored in each block and the verification process only needs to compare whether the hash calculated by the certificate provided by the user is consistent with the hash stored in the blockchain. The authentication process omits the key encryption and decryption overhead. BlockCAM has the characteristics of decentralization, anonymity and temper-resistant. Analyses show that BlockCAM has the advantage over the existing public key infrastructure (PKI) cross-domain authentication schemes at efficiency. © 2018 IEEE.

关键词： Blockchain

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Front Cover: International Journal of Intelligent Systems, Volume 37 Issue 11 November 2022

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International Journal of Intelligent Systems 2022年第11期37卷

作者： Xianjia Meng Yong Yang Ximeng Liu Nan Jiang School of Information Science and Technology Northwest University Xi'an People's Republic of China Fujian Province Key Laboratory of Information Security of Network System and College of Computer and Data Science Fuzhou University Fuzhou People's Republic of China Cyberspace Security Research Center Peng Cheng Laboratory Shenzhen People's Republic of China Department of Internet of Things School of Information Engineering East China Jiao Tong University Nanchang People's Republic of China

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A blockchain-based architecture framework for secure sharing of personal health data 20

A blockchain-based architecture framework for secure sharing...

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20th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2018

作者： Amofa, Sandro Sifah, Emmanuel Boateng Obour Agyekum, Kwame O.-B. Abla, Smahi Xia, Qi Gee, James C. Gao, Jianbin School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Center for Cyber Security University of Electronic Science and Technology of China Chengdu China Department of Radiology University of Pennsylvania Philadelphia United States School of Resource and Enviroment Center for Digital Health University of Electronic Science and Technology China

ISBN: (纸本)9781538642948

Health information exchanges have been popular for some time with their advantages known and widely researched. In spite of their utility in increasing provider efficiency and decreasing administrative costs, one challenge that has persisted is the data owners inability to control data after transmission. The lack of technical mechanisms to effectively control patients' health data in the network significantly affects participation of health and medical institutions while perpetrating the silo-based data management that locks value and potential inherent in the data. This not only affects researchers due to the lack of data for research and analysis but the quality of life of *** present a blockchain-supported architectural framework for secure control of personal data in a health information exchange by pairing user-generated acceptable use policies with smart contracts. We highlight the merits of our system, its user-centric focus and also show experimental results along with directions for extending our work. The framework introduces minimal risk to data by architecting a mechanism for controlling data after sharing. In adopting our framework, health service providers can deliver a stronger assurance for data management than is possible with current systems. © 2018 IEEE.

关键词： Blockchain

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Adversarial multiscale feature learning for overlapping chromosome segmentation

arXiv

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arXiv 2020年

作者： Mei, Liye Yu, Yalan Weng, Yueyun Guo, Xiaopeng Liu, Yan Wang, Du Liu, Sheng Zhou, Fuling Lei, Cheng The Institute of Technological Sciences Wuhan University Wuhan430072 China The Department of Hematology Zhongnan Hospital of Wuhan University Wuhan430071 China The School of Power and Mechanical Engineering Wuhan University Wuhan430072 China The Wangxuan Institute of Computer Technology Peking University Beijing100080 China The Alipay Tian Qian Security Lab Beijing100020 China

Chromosome karyotype analysis is of great clinical importance in the diagnosis and treatment of diseases, especially for genetic diseases. Since manual analysis is highly time and effort consuming, computer-assisted automatic chromosome karyotype analysis based on images is routinely used to improve the efficiency and accuracy of the analysis. Due to the strip shape of the chromosomes, they easily get overlapped with each other when imaged, significantly affecting the accuracy of the analysis afterward. Conventional overlapping chromosome segmentation methods are usually based on manually tagged features, hence, the performance of which is easily affected by the quality, such as resolution and brightness, of the images. To address the problem, in this paper, we present an adversarial multiscale feature learning framework to improve the accuracy and adaptability of overlapping chromosome segmentation. Specifically, we first adopt the nested U-shape network with dense skip connections as the generator to explore the optimal representation of the chromosome images by exploiting multiscale features. Then we use the conditional generative adversarial network (cGAN) to generate images similar to the original ones, the training stability of which is enhanced by applying the least-square GAN objective. Finally, we employ Lovász-Softmax to help the model converge in a continuous optimization setting. Comparing with the established algorithms, the performance of our framework is proven superior by using public datasets in eight evaluation criteria, showing its great potential in overlapping chromosome segmentation. Copyright © 2020, The Authors. All rights reserved.

关键词： Diagnosis

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Intelligent Knowledge Distribution: Constrained-Action POMDPs for Resource-Aware Multi-Agent Communication

arXiv

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arXiv 2019年

作者： Fowler, Michael C. Charles Clancy, T. Williams, Ryan K. Hume Center for National Security and Technology Electrical and Computer Engineering Virginia Tech BlacksburgVA24060 United States Department of Electrical Engineering Virginia Tech BlacksburgVA24060 United States

This paper addresses a fundamental question of multi-Agent knowledge distribution: what information should be sent to whom and when, with the limited resources available to each agent? Communication requirements for multi-Agent systems can be rather high when an accurate picture of the environment and the state of other agents must be maintained. To reduce the impact of multi-Agent coordination on networked systems, e.g., power and bandwidth, this paper introduces two concepts for partially observable Markov decision processes (POMDPs): 1) action-based constraints which yield constrained-Action POMDPs (CA-POMDPs);and 2) soft probabilistic constraint satisfaction for the resulting infinite-horizon controllers. To enable constraint analysis over an infinite horizon, an unconstrained policy is first represented as a Finite State Controller (FSC) and optimized with policy iteration. The FSC representation then allows for a combination of Markov chain Monte Carlo and discrete optimization to improve the probabilistic constraint satisfaction of the controller while minimizing the impact to the value function. Within the CA-POMDP framework we then propose Intelligent Knowledge Distribution (IKD) which yields per-Agent policies for distributing knowledge between agents subject to interaction constraints. Finally, the CA-POMDP and IKD concepts are validated using an asset tracking problem where multiple unmanned aerial vehicles (UAVs) with heterogeneous sensors collaborate to localize a ground asset to assist in avoiding unseen obstacles in a disaster area. The IKD model was able to maintain asset tracking through multi-Agent communications while only violating soft power and bandwidth constraints 3% of the time, while greedy and naive approaches violated constraints more than 60% of the time. Copyright © 2019, The Authors. All rights reserved.

关键词： Markov processes

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Identifying Crashing Fault Residence Based on Cross Project Model

Identifying Crashing Fault Residence Based on Cross Project ...

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International Symposium on Software Reliability engineering (ISSRE)

作者： Zhou Xu Tao Zhang Yifeng Zhang Yutian Tang Jin Liu Xiapu Luo Jacky Keung Xiaohui Cui School of Computer Science Wuhan University China Department of Computing The Hong Kong Polytechnic University China College of Computer Science and Technology Harbin Engineering University China Key Laboratory of Network Assessment Technology Institute of Information Engineering Chinese Academy of Sciences China Department of Computer Science City University of Hong Kong China School of Cyber Science and Engineering Wuhan University China

ISBN: (纸本)9781728149837

Analyzing the crash reports recorded upon software crashes is a critical activity for software quality assurance. Predicting whether or not the fault causing the crash (crashing fault for short) resides in the stack traces of crash reports can speed-up the program debugging process and determine the priority of the debugging efforts. Previous work mostly collected label information from bug-fixing logs, and extracted crash features from stack traces and source code to train classification models for the Identification of Crashing Fault Residence (ICFR) of newly-submitted crashes. However, labeled data are not always fully available in real applications. Hence the classifier training is not always feasible. In this work, we make the first attempt to develop a cross project ICFR model to address the data scarcity problem. This is achieved by transferring the knowledge from external projects to the current project via utilizing a state-of-the-art Balanced Distribution Adaptation (BDA) based transfer learning method. BDA not only combines both marginal distribution and conditional distribution across projects but also assigns adaptive weights to the two distributions for better adjusting specific cross project pair. The experiments on 7 software projects show that BDA is superior to 9 baseline methods in terms of 6 indicators overall.

关键词： feature extraction learning (artificial intelligence) pattern classification program debugging project management software fault tolerance software quality source code (software) Debugging Crash software fault tolerance software quality Pattern recognition Project management Feature extraction SQA management of resources

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Maximum Lifetime Optimized Collaboration of Data and Energy Routing in VANET

Maximum Lifetime Optimized Collaboration of Data and Energy ...

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2019虚拟现实与智能系统国际会议

作者： Ming Hu Hanlin Chen Jiejun Hu Hui Yan Ping Yu Platform of Jilin Province Science and Technology (S&T) Department "Jilin Province S&T Innovation Center for Physical Simulation and Security of Water resources and Electric Power Engineering" Changchun Institute of Technology College of Computer Science and Technology Changchun University of Technology School of Computer Sciences and Electrical Engineering University of Essex

The roadside units(RSUs) based on traditional grid has high carbon footprint and high deployment cost in vehicle dedicated *** ideal green alternative has become an important issue in Vehicular Ad-Hoc Networks(VANETs).In this paper,we propose a novel framework of energy harvesting and cooperation to maximize the life cycle in *** this VANET scenario,the RSU node can harvest energy from the nature and also receive down steam vehicle energy dispatch to maintain the energy needed for data transmission,may transfers a portion of obtained energies by RSU nodes to the neighboring RSU nodes through energy *** vehicle can access the RSU in two ways:1) direct delivery when the vehicle is within the transmission range of the RSU;2) multihop relay when the vehicle is not within the transmission range of the *** analysing the data rate,transmission power and energy transmission,we solve the problem of maximum network life cycle in the conservation law of energy and *** consider involving energy constraints and data transmission joint problem,we optimize each RUS nodes energy management over vehicular outgoing data links and its energy transfers to neighboring RSU *** this case,with no energy cooperation,we show that each RSU node should allocate more power to links with more noise and/or more data *** addition,when there is energy cooperation,our numerical results indicate that the energy is routed from nodes with higher energy to nodes with lower *** results show that energy and data routing cooperation in VANET strategy can effectively improve the network life cycle.

关键词： Road side units Energy harvesting data and energy routing cooperation life cycle

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SecureMatch: Scalable authentication and key relegation for iot using physical-layer techniques 6

SecureMatch: Scalable authentication and key relegation for ...

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6th IEEE Conference on Communications and Network security, CNS 2018

作者： Rahbari, Hanif Liu, Jinshan Park, Jung-Min Jerry Department of Computing Security Rochester Institute of Technology RochesterNY United States Bradley Department of Electrical and Computer Engineering Virginia Tech ArlingtonVA United States

ISBN: (纸本)9781538645864

Conventional authentication approaches, whether based on (preconfigured) symmetric or asymmetric keys, cannot react timely to large-scale attacks on Internet of Things (IoT) devices because they need to manage (i.e., create, certify, distribute, and revoke) long lists of keys or device identities. In particular, existing key revocation schemes are inept at handling the extreme scale of IoT networks. In this paper, we propose a new concept called relegation to facilitate developing SecureMatch, a protocol to cope with scalability while incurring minimal time and/or space complexity. Relegation is like a fuzzy key revocation by which only the trustworthiness level of a vulnerable but not compromised device is reduced. Inspired by lightweight identity-based signatures, SecureMatch uses public features of a class of devices as their public keys to characterize and relegate all similar devices that share a common vulnerability. Further, the proposed protocol encodes those public features, which are often collected from different layers of the protocol stack, into a device tag, and then transmits this tag in the physical layer using a reliable preamble-embedding technique. SecureMatch has low overhead and enables an authenticator to quickly authenticate a set of features as long as the devices exhibit the valid credentials. The performance of tag extraction was evaluated through LabVIEW and USRP experiments using commodity devices as transmitters. © 2018 IEEE.

关键词： Authentication

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