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5th International Conference on Artificial Intelligence and security, ICAIS 2019

作者： Ma, Ke Yang, Geng Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing210023 China

ISBN: (纸本)9783030242701

In recent years, attribute-based access control (ABAC) models have been widely used in big data and cloud computing. However, with the growing importance of data content, using data content to assist authorization for access controls has become more common. In this paper, we propose a dynamic content-driven attribute-based access control model (CABAC) for large-scale unstructured data. CABAC is a fine-grained access control model that use two-layer authorization to balance efficiency and accuracy. The first-layer authorization uses attributes to grant users basic authority and the second-layer authorization uses data content to grant broader authority over "related" data. Experimental results show that CABAC has acceptable efficiency and it can expand the authority of users without reducing security. © Springer Nature Switzerland AG 2019.

关键词： big data

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FortisAVQA and MAVEN: a Benchmark dataset and Debiasing Framework for Robust Multimodal Reasoning

arXiv

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arXiv 2025年

作者： Ma, Jie Gao, Zhitao Chai, Qi Liu, Jun Wang, Pinghui Tao, Jing Su, Zhou Ministry of Education of Key Laboratory for Intelligent Networks and Network Security School of Cyber Science and Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China Shannxi Provincial Key Laboratory of Big Data Knowledge Engineering School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China Guangdong Guangzhou510000 China

Audio-Visual Question Answering (AVQA) is a challenging multimodal reasoning task requiring intelligent systems to answer natural language queries based on paired audio-video inputs accurately. However, existing AVQA approaches often suffer from overfitting to dataset biases, leading to poor robustness. Moreover, current datasets may not effectively diagnose these methods. To address these challenges, we first introduce a novel dataset, FortisAVQA, constructed in two stages: (1) rephrasing questions in the test split of the public MUSIC-AVQA dataset and (2) introducing distribution shifts across questions. The first stage expands the test space with greater diversity, while the second enables a refined robustness evaluation across rare, frequent, and overall question distributions. Second, we introduce a robust Multimodal Audio-Visual Epistemic Network (MAVEN) that leverages a multifaceted cycle collaborative debiasing strategy to mitigate bias learning. Experimental results demonstrate that our architecture achieves state-of-the-art performance on FortisAVQA, with a notable improvement of 7.81%. Extensive ablation studies on both datasets validate the effectiveness of our debiasing components. Additionally, our evaluation reveals the limited robustness of existing multimodal QA methods. We also verify the plug-and-play capability of our strategy by integrating it with various baseline models across both datasets. Our dataset and code are available at https://***/reml-group/fortisavqa. Copyright © 2025, The Authors. All rights reserved.

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ABlockchain-enabled Efficient and Fair Energy Trading Schemes in Industrial Internet of Things

ABlockchain-enabled Efficient and Fair Energy Trading Scheme...

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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Jianwen Hu Yuling Chen Xiaoiun Ren Yixian Yang Xiaobin Qian State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Blockchain Laboratory of Agricultural Vegetables Weifang University of Science and Technology Weifang China School of Cyberspace Security Beijing University of Posts and Telecommnuications Beijing China Guizhou CoVision Science & Technology Co. Ltd Guiyang China

ISBN: (纸本)9781665421751

As the technical support of the Industrial Internet of Things, blockchain technology has been widely used in energy trading, data transactions, and Internet of Vehicles. However, among the existing energy trading models, most of them only address the transaction security and transaction privacy issues that arise in the energy trading process, ignoring the fairness of resource allocation and transaction equity in the trading process. In order to tackle those problems, an energy trading scheme called Ho-trade is proposed in this paper to improve the efficiency of model trading while ensuring the fairness of energy trading. We propose a new trading strategy in the Ho-trade energy trading scheme that guarantees fairness in the allocation of trading re-sources by introducing an entity's active-reputation value. Based on the identity verification foundation of the consortium chain, the scheme enhances the existing PBFT consensus algorithm and improves the efficiency of model transactions. The experimental simulation indicates that the scheme requires less transaction time and has higher transaction fairness and security.

关键词： Privacy data privacy Cloud computing Consensus algorithm data models Delays Blockchains

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MTSS: multi-path traffic scheduling mechanism based on SDN

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Journal of Systems Engineering and Electronics 2019年第5期30卷 974-984页

作者： XU Xiaolong CHEN Yun HU Liuyun KUMAR Anup Jiangsu Key Laboratory of Big Data Security&Intelligent Processing Nanjing University of Posts and TelecommunicationsNanjing 210023China Institute of Big Data Research at Yancheng Nanjing University of Posts and TelecommunicationsYancheng 224000China School of Computer Science Nanjing University of Posts and TelecommunicationsNanjing 210023China Department of Computer Engineering and Computer Science University of LouisvilleLouisville KY40292USA

Large-scale and diverse businesses based on the cloud computing platform bring the heavy network traffic to cloud data ***,the unbalanced workload of cloud data center network easily leads to the network congestion,the low resource utilization rate,the long delay,the low reliability,and the low *** order to improve the utilization efficiency and the quality of services(QoS)of cloud system,especially to solve the problem of network congestion,we propose MTSS,a multi-path traffic scheduling mechanism based on software defined networking(SDN).MTSS utilizes the data flow scheduling flexibility of SDN and the multi-path feature of the fat-tree structure to improve the traffic balance of the cloud data center network.A heuristic traffic balancing algorithm is presented for MTSS,which periodically monitors the network link and dynamically adjusts the traffic on the heavy link to achieve programmable data forwarding and load *** experimental results show that MTSS outperforms equal-cost multi-path protocol(ECMP),by effectively reducing the packet loss rate and *** addition,MTSS improves the utilization efficiency,the reliability and the throughput rate of the cloud data center network.

关键词： cloud data center software defined networking(SDN) load balancing multi-path transmission OpenFlow

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Attribute-Based Searchable Encryption Scheme Supporting Efficient Range Search in Cloud Computing

Attribute-Based Searchable Encryption Scheme Supporting Effi...

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IEEE Conference on Dependable and Secure Computing

作者： Yuan Li Haiyan Wang Shulan Wang Yong Ding College of Computer Science and Software Engineering Shenzhen University Shenzhen P. R. China Peng Cheng Laboratory Cyberspace Security Research Center Shenzhen P. R. China College of Big Data and Internet Shenzhen Technology University Shenzhen P. R. China Guangxi Key Laboratory of Cryptography Information Security Guilin P. R. China

ISBN: (数字)9781728175348

ISBN: (纸本)9781728175355

With the widespread application of cloud computing technology, data privacy security problem becomes more serious. The recent studies related to searchable encryption (SE) area have shown that the data owners can share their private data with efficient search function and high-strength security. However, the search method has yet to be perfected, compared with the plaintext search mechanism. In this paper, based LSSS matrix, we give a new searchable algorithm, which is suitable for many search method, such as exact search, Boolean search and range search. In order to improve the search efficiency, the 0, 1-coding theory is introduced in the process of ciphertext search. Meanwhile it is shown that multi-search mechanism can improve the efficiency of data sharing. Finally, the performance analysis is presented, which prove our scheme is secure, efficient, and human-friendly.

关键词： Cloud computing data privacy Search methods Conferences Encryption Performance analysis security

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Software Defect Prediction via Deep Belief Network

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Chinese Journal of Electronics 2019年第5期28卷 925-932页

作者： WEI Hua SHAN Chun HU Changzhen ZHANG Yu YU Xiao School of Computer Science and Technology Beijing Institute of Technology China Information Technology Security Evaluation Center Beijing Key Laboratory of Software Security Engineering Technology Beijing Institute of Technology School of Electrical and Information Engineering and Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and Architecture State Key Laboratory in China for Geomechanics and Deep Underground Engineering (Beijing) China University of Mining and Technology School of Computer Science and Technology Shandong University of Technology

Defect distribution prediction is a meaningful topic because software defects are the fundamental cause of many attacks and data loss. Building accurate prediction models can help developers find bugs and prioritize their testing efforts. Previous researches focus on exploring different machine learning algorithms based on the features that encode the characteristics of *** problem of data redundancy exists in software defect data set, which has great influence on prediction *** propose a defect distribution prediction model(Deep belief network prediction model, DBNPM), a system for detecting whether a program module contains defects. The key insight of DBNPM is Deep belief network(DBN)technology, which is an effective deep learning technique in image processing and natural language processing,whose features are similar to defects in source *** results show that DBNPM can efficiently extract and process the data characteristics of source program and the performance is better than Support vector machine(SVM), Locally linear embedding SVM(LLE-SVM), and Neighborhood preserving embedding SVM(NPE-SVM).

关键词： Defect prediction Software security Deep belief network(DBN)

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A location data protection protocol based on differential privacy

A location data protection protocol based on differential pr...

引用

IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Ping Guo Baopeng Ye Yuling Chen Tao Li Yixian Yang Xiaobin Qian State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Information Technology Innovation Service Center of Guizhou Province Guiyang China School of Cyberspace Security Beijing University of Posts and Telecommnuications Beijing China Guizhou CoVision Science &Technology Co. Ltd Guiyang China

ISBN: (纸本)9781665421751

Location-based services (LBS) is geo-location-based a mobile information service based on spatial location that adopts wireless positioning, GIS, Internet, wireless communication, database and other related technologies. which brings both convenience and vulnerability. With the increasing of scale and value of data, most existing location privacy protection protocols cannot balance privacy and utility. To solve the revealing problems in LBS, in this paper, we first design an algorithm of the best-assisted user selection (BaUS) for constructing anonymity sets. Next, we contract a smart contract to evaluate reputation, to ensure the honesty of participants. And then a differential privacy protection protocol is proposed. The theoretical analysis and experiments show that the proposed protocol can resist background knowledge attacks effectively. Meanwhile, our protocol can improve data availability. Particularly, it realizes user-controllable privacy protection which enhances privacy preservation and better security.

关键词： Wireless communication Privacy data privacy Differential privacy Protocols Publishing Smart contracts

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A Tutorial on Movable Antennas for Wireless Networks

arXiv

引用

arXiv 2025年

作者： Zhu, Lipeng Ma, Wenyan Mei, Weidong Zeng, Yong Wu, Qingqing Ning, Boyu Xiao, Zhenyu Shao, Xiaodan Zhang, Jun Zhang, Rui Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Chengdu611731 China National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China School of Electronic and Information Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of CNS/ATM MIIT Key Laboratory of Complex-field Intelligent Sensing Beijing Institute of Technology Beijing100081 China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Guangdong Shenzhen518172 China

Movable antenna (MA) has been recognized as a promising technology to enhance the performance of wireless communication and sensing by enabling antenna movement. Such a significant paradigm shift from conventional fixed antennas (FAs) to MAs offers tremendous new opportunities towards realizing more versatile, adaptive and efficient next-generation wireless networks such as 6G. In this paper, we provide a comprehensive tutorial on the fundamentals and advancements in the area of MA-empowered wireless networks. First, we overview the historical development and contemporary applications of MA technologies. Next, to characterize the continuous variation in wireless channels with respect to antenna position and/or orientation, we present new field-response channel models tailored for MAs, which are applicable to narrowband and wideband systems as well as far-field and near-field propagation conditions. Subsequently, we review the state-of-the-art architectures for implementing MAs and discuss their practical constraints. A general optimization framework is then formulated to fully exploit the spatial degrees of freedom (DoFs) in antenna movement for performance enhancement in wireless systems. In particular, we delve into two major design issues for MA systems. First, we address the intricate antenna movement optimization problem for various communication and/or sensing systems to maximize the performance gains achievable by MAs. Second, we deal with the challenging channel acquisition issue in MA systems for reconstructing the channel mapping between arbitrary antenna positions inside the transmitter and receiver regions. Moreover, we show existing prototypes developed for MA-aided communication/sensing and the experimental results based on them. Finally, the extension of MA design to other wireless systems and its synergy with other emerging wireless technologies are discussed. We also highlight promising research directions in this area to inspire future investigatio

关键词： Antenna arrays

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A De-swinging Scheme in Location Privacy Protection via Smart Contract

A De-swinging Scheme in Location Privacy Protection via Smar...

引用

IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Manxiang Yang Baopeng Ye Yuling Chen Tao Li Yixian Yang Xiaobin Qian State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang China Information Technology Innovation Service Center of Guizhou Province Guiyang China School of Cyberspace Security Beijing University of Posts and Telecommnuications Beijing China Guizhou CoVision Science & Technology Co. Ltd Guiyang China

ISBN: (纸本)9781665421751

There are some problems such as behavior deception and service swing while utilizing distributed k-anonymity technology to construct an anonymous domain. If the malicious nodes submit a false location coordinate to take participate in the process of constructing, the coordinate of the honest node will be leaked, and the attacker will increase the reputation illegally. To tackle those problems, we propose a de-swinging scheme based on the smart contract for location privacy protection. Primarily, a de-swinging reputation evaluation method (DREM) is introduced, in which participants prefer to choose nodes with high reputations to complete the construction process of the anonymous domain. In this method, we design a penalty factor to curb malicious behavior. Besides, based on our proposed DREM, a cridible cloaking area is constructed to protect the location privacy of the request nodes. We utilize smart contract to calculate reputation automatically during the process of construction. Finally, the security analysis and simulation results indicate that our proposed scheme can effectively resist malicious attacks, detect malicious nodes quickly, encourage nodes to participate honestly in the construction of anonymous domain.

关键词： Privacy data privacy Simulation Design methodology Smart contracts Resists Quality of service

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Community-based message forwarding in mobile social networks

Community-based message forwarding in mobile social networks

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2019 International Conference on Advances in Computer Technology, Information Science and Communications, CTISC 2019

作者： Chen, Zhiming Xiang, Yang School of Computer Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing210023 China

ISBN: (纸本)9789897583575

With the popularity of various smart devices and the application of sensor network technology, message transmission using mobile devices is becoming widespread. This paper focuses on the forwarding in mobile social network (MSN). The MSN is a special Delay Tolerant Network (DTN) consisting of mobile nodes. In MSN, nodes move and share information with each other through carried short-range wireless communication devices. Mobile nodes in the MSN typically access some building areas more frequently, such as schools, companies, or apartments, while visiting other areas, such as the roads between buildings, less frequently. The building areas that nodes frequently visit are called communities. To increase delivery ratio and reduce transmission time in MSN, this paper proposes a novel zero-knowledge multi-copy routing algorithm, Mixed Message Forwarding (MMF) which exploits and improves the metric, namely centrality. Centrality reflects the importance of a node in the network. MMF improves copy diffusion by using different directions of node movement as well. Special facilities called boundary boxes are added to the network scenario. Boundary boxes are special throw boxes. Throw boxes are relays with large storage space and fixed position. MMF is designed and evaluated, which utilizes the aforementioned boundary boxes to reduce transmission delay. The simulation results show that the MMF can improve the delivery ratio and reduce the transmission delay, compared with other algorithms. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Delay tolerant networks

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