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IEEE Conference on Global Communications (GLOBECOM)

作者： Peijie Xian Ying He F. Richard Yu Jianbo Du College of Computer Science and Software Engineering Shenzhen Univ. Shenzhen China Shaanxi Key Lab. of Information Comm. Network and Security Xi’an Univ. of Posts & Telecomm. Xi’an China School of Information Technology Carleton Univ. Ottawa Canada

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

The cloud computing environment is highly dynamic due to a variety of external factors such as seasonal changes, market trends, and social events. In this case, tenant behavior patterns exhibit significant variability. Therefore, the cloud computing resource allocation model must continuously adapt to these changes. To this end, we propose an adaptive algorithm for dynamic cloud resource allocation based on meta-hierarchical active inference reinforcement learning (MHAIRL). The algorithm combines active inference with meta-hierarchical reinforcement learning. It improves the overall performance of the algorithm, as well as quickly adapts to environmental changes, and improves the generalization performance. In addition, we design a novel polling scheduling framework combined with long short-term memory (LSTM) network. The framework ensures scheduling fairness and flexibility while greatly reducing the state and action space dimensions of the agent. Extensive simulation results show that our method outperforms baseline algorithms in quality of service (QoS) metrics and significantly improves system performance in highly dynamic cloud resource allocation.

关键词： Cloud computing Adaptation models Heuristic algorithms Computational modeling Quality of service Reinforcement learning Dynamic scheduling Inference algorithms Resource management Long short term memory

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Autonomous distributed trust mode

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Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2008年第3期35卷 469-473页

作者： Zhan, Yang Pang, Liao-Jun Zhu, Xiao-Yan Wang, Yu-Min Key Lab. of Computer Network and Information Security Xidian Univ. Xi'an 710071 China State Key Lab. of Integrated Service Networks Xidian Univ. Xi'an 710071 China

To estimate the trust value in P2P networks, an autonomous trust mode based on both direct experiences and recommendations is proposed, in which the recommendation synthetic coefficients are decided by the trustor's trust on the recommendation subscribers. Both the direct trust and the recommendation trust are attenuated with time intervals. The corresponding data structure and an iterative computational method are given.

关键词： Peer to peer networks

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Attack-tolerant node localization in wireless sensor networks

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Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology 2008年第7期30卷 111-115页

作者： Ye, A-Yong Ma, Jian-Feng Key Lab. of the Ministry of Education for Computer Networks and Information Security Xidian University Xi'an 710071 China Key Lab. of the Network Security and Cryptology Fujian Normal University Fuzhou 350007 China

It is essential to ensure that sensors can determine their location for wireless sensor networks. However, most of existing location discovery protocols became vulnerable in the presence of malicious attacks. So the authors presented an attack-tolerant node localization algorithm called AtLoc. In AtLoc, a least safe reference set was randomly built up according to the unbiased estimation of variance. Based on this, prediction residual of the least safe reference set was used to stepwise diagnose the remained references were abnormal or not, which significantly enhanced the resilience of localization system against attacks. Finally, the authors provided theoretical analysis and simulations to evaluate the proposed techniques.

关键词： Node localization Security Wireless sensor networks

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FedDRC: A Robust Federated Learning-based Android Malware Classifier under Heterogeneous Distribution

FedDRC: A Robust Federated Learning-based Android Malware Cl...

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International Conference on computer Supported Cooperative Work in Design

作者： Changnan Jiang Chunhe Xia Mengyao Liu Chen Chen Huacheng Li Tianbo Wang Pengfei Li Beijing Key Lab. of Network Technology Beihang University Beijing China Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing Guangxi Normal University Guilin China School of Cyber Science and Technology Beihang University Beijing China Shanghai Key Laboratory of Computer Software Evaluating and Testing Shanghai China SNationa Innovation Center of Intelligent and Connected Vehicles Beijing China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

In the traditional centralized Android malware classification framework, privacy concerns exist due to collected users’ apps containing sensitive information. A new classification framework based on Federated Learning (FL) has emerged to protect privacy. However, significant spatiotemporal heterogeneity exists in the distribution of Android malware samples in different clients. It presents a huge challenge to existing FL schemes, as trained local models differ significantly, resulting in slower model convergence and lower classification accuracy. To bridge this gap, we propose FedDRC, a robust FL-based Android malware classifier. First, we design a functional semantic embedding mechanism of API features, FSEM, using word embedding to improve the robustness of the model to the time heterogeneity of the client’s samples. Secondly, we use the idea of information Bottleneck (IB) and transfer learning to design a robust local model, PAMIB, to deal with the model degradation caused by the space heterogeneity of the distribution of client samples. Extensive experiments on the Androzoo dataset show that FedDRC has the best robustness for Android malware classification tasks in various heterogeneity distribution settings: fastest convergence and best classification accuracy.

关键词： Degradation Privacy Accuracy Federated learning Transfer learning Semantics Malware

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Specifying safety and liveness of semi-algebraic transition systems

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Journal of Computational information Systems 2015年第2期11卷 457-465页

作者： Fu, Jun Wu, Jinzhao Tan, Hongyan Zhou, Ning School of Computer and Information Technology Beijing Jiaotong University Beijing China Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis Guangxi University for Nationalities Nanning China High Performance Network Lab. Institute of Acoustics Chinese Academy of Sciences Beijing China School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou China

We present an approach to specification of properties of semi-algebraic transition systems which are introduced as mathematical structures for modeling complex physical systems. We extend dynamic logic to the semi-algebraic dynamic logic (SDL) which enlarges abstract modalities to polynomial expressions with inequalities and boolean connectives. In SDL, semi-algebraic transition systems are modeled as semi-algebraic programs. The semantics of SDL is constructed by interpreting the transition relation of semi-algebraic programs and the satisfaction of formulas with semi-algebraic sets. Hence, safety and liveness properties of semi-algebraic transition systems are well formulised as SDL formulas. Finally, our method of specifying complex systems is illustrated with three typical examples. 1553-9105/Copyright © 2015 Binary information Press

关键词： Specifications

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AIDE: Attack Inference Based on Heterogeneous Dependency Graphs with MITRE ATT&CK

AIDE: Attack Inference Based on Heterogeneous Dependency Gra...

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IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

作者： Weidong Zhou Chunhe Xia Nan Feng Xinyi Pan Tianbo Wang Xiaojian Li Beijing Key Lab. of Network Technology Beihang University Beijing China Guangxi Collaborative Innovation Center of Multi-Source Information Integration and Intelligent Processing Guangxi Normal University Guilin China School of Software & Microelectronics Peking University Beijing China School of Cyber Science and Technology Beihang University Beijing China School of Computer Science and Engineering Guangxi Normal University Guilin China

ISBN: (数字)9798331506209

ISBN: (纸本)9798331506216

The MITRE ATT&CK Framework provides a rich and actionable repository of adversarial tactics, techniques, and procedures (TTPs). By leveraging the associations among these techniques, we can infer unobserved techniques based on those have been observed. Current machine learning inference methods based on small-scale data face the following problems: "logical dependencies missing" and "complex associations missing." The former means that current association methods rely solely on the statistical dependencies between attack techniques while ignoring the logical dependencies involved in executing those techniques. The latter indicates that current inference methods simplify the complex associations between technologies based on statistical assumptions, failing to adequately capture the long-range and intricate real-world relationships between techniques. To address these problems, we propose an Attack Inference model based on heterogeneous DEpendency graphs (AIDE). First, we extract three types of logical dependencies: CVE, Pattern, and Conditional, which allows us to construct a heterogeneous dependency graph among the techniques, thus addressing the "logical dependencies missing" problem. Second, we employ Relation Graph Convolution Neural networks (RGCN) to aggregate heterogeneous dependencies into representation vectors of the techniques. Finally, we utilize the sequence inference model Decoder, which excels at capturing implicit contextual associations, to infer unknown attacks, thus addressing the "complex associations missing" problem. Experiments conducted on real datasets demonstrate that our model significantly outperforms state-of-the-art baseline models in both hits@k and map@k metrics.

关键词： Adaptation models Aggregates Refining Machine learning Vectors Threat assessment Real-time systems Decoding Security Context modeling

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Performance Evaluation of Modified IEEE 802.11 MAC for Multi-Channel Multi-Hop Ad Hoc networks

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Journal of Interconnection networks 2003年第3期4卷 345-359页

作者： Jiandong Li Zygmunt J. Haas Min Sheng Yanhui Chen Xidian University State Key Lab. of Integrated Service Network Xi'an Shaanxi 710071 P. R. China Cornell University School of Electrical and Computer Engineering Wireless Networks Laboratory Ithaca NY 14853 USA Xidian University Information Science Institute Xi'an Shaanxi 710071 P. R. China

In this paper, the IEEE 802.11 multiple access control (MAC) protocol was modified for use in multi-channel, multi-hop ad hoc networks through the use of a new channel-status indicator. In particular, in the modified protocol, the RTS/CTS dialogue is exchanged on the common access control channel and data packets are transmitted on a selected traffic channel. We have evaluated the improvement due to the multi-channel use and we report in this paper on the results of the per-node throughput and the end-to-end delay for different network sizes. Using these results, we were able to propose a number of per-node throughput scaling laws. Our simulation results show that the per-node throughput with multiple channels for the fully connected, the line, and the grid ad hoc network topologies increases by 90% to 253%, by 47%, and by 139% to 163%, respectively, for networks with 16 to 64 nodes, as compared with that of a single channel.

关键词： Ad hoc networks 802.11 multiple channel multiple access control protocol

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Survivable storage networks and Quorum system

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Tongxin Xuebao/Journal on Communications 2007年第SUPPL.期28卷 121-124页

作者： Zhang, Wei Ma, Jian-Feng Liu, Shu-Guang Wang, Chao Key Lab. of Computer Network and Information Security Xidian Univ. Xi'an 710071 China Engineering Institute of the Armed Police Xi'an 710086 China

A survivable storage architecture was provided based on an overall study of storage service survivability. It contains storage nodes, users, access control system, reliability analysis module, intrusion and fault detection modules. The notion of threshold Byzantine Quorum system (TBQS) was presented grounded on this architecture. TBQS can be used together with erasure coding or threshold schemes to design survivable storage systems. Storage systems based on TBQS can tolerant 1/4 faulty nodes and thus provide a solid data service.

关键词： Access control

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A simulator for swarm AUVs acoustic communication networking 11

A simulator for swarm AUVs acoustic communication networking

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11th ACM International Conference on Underwater networks and Systems, WUWNet 2016

作者： Li, Guannan Liu, Jun Wang, Xue Xu, Hongli Cui, Jun-Hong Shenyang Institute of Automation CAS University of Chinese Academy of Sciences No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University State Key Laboratory of Robotics Key Laboratory of System Control and Information Processing Ministry of Education of China Changchun China Shenyang Institute of Automation CAS Northeast University No. 114 Nanta Street Shenhe District Shenyang China Shenyang Institute of Automation CAS No. 114 Nanta Street Shenhe District Shenyang China College of Computer Science and Technology Jilin University Changchun China Underwater Sensor Network Lab. University of Connecticut StorrsCT06269 United States

ISBN: (纸本)9781450346375

This paper presents a simulator for swarm operations designed to verify algorithms for a swarm of autonomous underwater robots (AUVs), specifically for constructing an underwater communication network with AUVs carrying acoustic communication devices. This simulator consists of three nodes: a virtual vehicle node (VV), a virtual environment node (VE), and a visual showing node (VS). The modular design treats AUV models as a combination of virtual equipment. An expert acoustic communication simulator is embedded in this simulator, to simulate scenarios with dynamic acoustic communication nodes. The several simulations we have performed demonstrate that this simulator is easy to use and can be further improved.

关键词： Simulators

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Study on high-speed network intrusion detection based on network processor

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Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni 2006年第SUPPL.期45卷 31-34页

作者： Li, Jia-Chun Chen, Qi-Yu Zhang, Ling Liu, Lan Computer Network Key Lab. South China University of Technology Guangzhou 510640 China Department of Electronics and Information Guangdong Polytechnic Normal University Guangzhou 510665 China

In order to improve attack detection rate and processing capability of intrusion detection system on high-speed environment, NP-NIDS: a high-speed intrusion detection system based on IXP2400 network processor is studied, designed and implemented. Multi-processor, multi-process and RM communication mechanism are used and new decoded data structure, core functional modules and process schedule policies are designed to resolve bottleneck of seizing packet and speed detection and analysis. Performance is tested using Smartbit and real network traffic from network center of south China, availab.lity and feasibility are validated.

关键词： Security of data

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