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Accountable privacy-enhanced multi-authority attribute-based authentication scheme for cloud services*✰

Computer Communications 2025年

作者： Xin Liu Hao Wang Bo Zhang Bin Zhang School of Information Engineering Shandong Youth University of Political Science Jinan 250103 China New Technology Research and Development Center of Intelligent Information Controlling in Universities of Shandong Jinan 250103 China Smart Healthcare Big Data Engineering and Ubiquitous Computing Characteristic Laboratory in Universities of Shandong Jinan 250103 China School of Information Science and Engineering Shandong Normal University Jinan 250358 China School of Information Science and Engineering University of Jinan Jinan 250022 China

Current attribute-based authentication (ABA) schemes have three major drawbacks: first, the single attribute authority (AA) becomes the system bottleneck, i.e., if the AA is corrupted, the entire system will stop working; second, user privacy is not completely secured; and third, malicious users may exploit their anonymity. To overcome these defects, we improved a previously established privacy-preserving decentralized ciphertext policy attribute-based encryption (PPD-CP-ABE) scheme, obtaining a PPD-CP-ABE with verifiable outsourced decryption (PPD-CP-ABE-VOD). This improved scheme uses outsourced decryption, secure two-party computation protocol, and zero-knowledge proofs. We transformed the PPD-CP-ABE-VOD scheme into a new privacy-enhanced multi-authority ABA scheme using an identity tracing mechanism based on linear encryption. This new scheme has the following advantages over similar schemes. First, it introduces multiple AAs and does not require users to trust AA fully. Second, it protects users’ attributes, global identifiers, and access behavior, thus strengthening user privacy protection. Finally, it balances user privacy protection and user accountability. Theoretical and experimental analyses have shown that the new scheme is comparable to recently proposed ABA systems in terms of performance in the key generation and authentication phases, despite appending multiple security properties.

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An improved discrete unified gas kinetic scheme for simulating compressible natural convection flows

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Journal of Computational Physics: X 2021年 11卷

作者： Wen, Xin Wang, Lian-Ping Guo, Zhaoli Shen, Jie Department of Mechanical Engineering 126 Spencer Laboratory University of Delaware NewarkDE19716-3140 United States Guangdong Provincial Key Laboratory of Turbulence Research and Applications Center for Complex Flows and Soft Matter Research Department of Mechanics and Aerospace Engineering Southern University of Science and Technology ShenzhenGuangdong518055 China Guangdong-Hong Kong-Macao Joint Laboratory for Data-Driven Fluid Mechanics and Engineering Applications Southern University of Science and Technology Shenzhen518055 China State Key Laboratory of Coal Combustion Huazhong University of Science and Technology Wuhan China Shanghai Institute of Applied Mathematics and Mechanics Shanghai University Shanghai China

Discrete unified gas-kinetic scheme (DUGKS) has been developed recently as a general method for simulating flows at all Knudsen numbers. In this study, we extend DUGKS to simulate fully compressible thermal flows. We introduce a source term to the Boltzmann equation with the Bhatnagar-Gross-Krook (BGK) collision model [1] to adjust heat flux and thus the Prandtl number. The fully compressible Navier-Stokes equations can be recovered by the current model. As a mesoscopic CFD approach, it requires an accurate mesoscopic implementation of the boundary conditions. Using the Chapman-Enskog approximation, we derive the "bounce-back" expressions for both temperature and velocity distribution functions, which reveal the need to consider coupling terms between the velocity and thermal fields. To validate our scheme, we first reproduce the Boussinesq flow results by simulating natural convection in a square cavity with a small temperature difference (ϵ=0.01) and a low Mach number. Then we perform simulations of steady natural convection (Ra=1.0×106) in a square cavity with differentially heated side walls and a large temperature difference (ϵ=0.6), where the Boussinesq approximation becomes invalid. Temperature, velocity profiles, and Nusselt number distribution are obtained and compared with the benchmark results from the literature. Finally, the unsteady compressible natural convection with Ra=5.0×109,ϵ=0.6 is studied and the turbulent fluctuation statistics are computed and analyzed. © 2021 The Author(s)

关键词： Natural convection

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Reasoning over the Air: A Reasoning-based Implicit Semantic-Aware Communication Framework

arXiv

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arXiv 2023年

作者： Xiao, Yong Liao, Yiwei Li, Yingyu Shi, Guangming Poor, H. Vincent Saad, Walid Debbah, Mérouane Bennis, Mehdi The School of Electronic Information and Communications The Huazhong University of Science and Technology Wuhan430074 China The Peng Cheng Laboratory Guangdong Shenzhen518055 China Guangdong Guangzhou510555 China The School of Mech. Eng. and Elect. Inform. The China University of Geosciences Wuhan430074 China The School of Artificial Intelligence The Xidian University Shaanxi Xi’an710071 China The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States The Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States Cyber Security Systems and Applied AI Research Center Lebanese American University Beirut Lebanon Khalifa University of Science and Technology P O Box 127788 Abu Dhabi United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France The University of Oulu Oulu90014 Finland

—Semantic-aware communication is a novel paradigm that draws inspiration from human communication focusing on the delivery of the meaning of messages. It has attracted significant interest recently due to its potential to improve the efficiency and reliability of communication and enhance users’ quality-of-experience (QoE). Most existing works focus on transmitting and delivering the explicit semantic meaning that can be directly identified from the source signal. This paper investigates the implicit semantic-aware communication in which the hidden information, e.g., hidden relations, concepts and implicit reasoning mechanisms of users, that cannot be directly observed from the source signal must be recognized and interpreted by the intended users. To this end, a novel implicit semantic-aware communication (iSAC) architecture is proposed for representing, communicating, and interpreting the implicit semantic meaning between source and destination users. A graph-inspired structure is first developed to represent the complete semantics, including both explicit and implicit, of a message. A projection-based semantic encoder is then proposed to convert the high-dimensional graphical representation of explicit semantics into a low-dimensional semantic constellation space for efficient physical channel transmission. To enable the destination user to learn and imitate the implicit semantic reasoning process of source user, a generative adversarial imitation learning-based solution, called G-RML, is proposed. Different from existing communication solutions, the source user in G-RML does not focus only on sending as much of the useful messages as possible;but, instead, it tries to guide the destination user to learn a reasoning mechanism to map any observed explicit semantics to the corresponding implicit semantics that are most relevant to the semantic meaning. By applying G-RML, we prove that the destination user can accurately imitate the reasoning process of the source u

关键词： Semantics

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The role of usability on e-learning user interactions and satisfaction: a literature review

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Journal of Systems and Information technology 2019年第3期21卷 368-394页

作者： Gunesekera, Asela Indunil Bao, Yukun Kibelloh, Mboni Center for Modern Information Managment Huazhong University of Science and Technology Wuhan China Center for Big Data Analytics Jiangxi University of Engineering Xinyu China Faculty of Arts and Social Science Tumaini University Makumira – Dar es Salaam College Dar es Salaam Tanzania United Republic of Department of Computer Science General Sir John Kotelawala Defence University Ratmalana Sri Lanka

Purpose: The purpose of this study is to review the effect of usability factors on e-learning user relationships, namely, student–student interaction (SSI), student–instructor interaction (SII) and student–content interaction (SCI), in the existing e-learning literature. Further, this study intended to identify whether usability contributes to the satisfaction of e-learners. Design/methodology/approach: This study has undertaken a systematic review using the PRISMA methodology to filter the literature in the domain of e-learning with respect to usability concerns using six databases. An analytical framework has been formulated to evaluate the literature against different dimensions of interactions and usability. Findings: Results reveal that while SSI has grabbed 71.4 per cent research attention with respect to usability factors of e-learning systems, SCI has been given the least focus, i.e. 26.6 per cent. According to the results, e-learning systems’ usability issues influence the user relationships and affect the user satisfaction, which will lead to lack of user continuity. Practical implications: The findings of this review will provide insights to instructional designers to construct more satisfied learning content for the users. The analysis framework of this study will encourage researchers to drive future research in e-learning along with the concern of usability. Originality/value: This research emphasizes on the importance of SCI to focus future e-learning research on a different angle, in addition to SSI and SII. The analysis framework of this study will provide different dimensions, specifically for the empirical research in the domain of e-learning. © 2019, Emerald Publishing Limited.

关键词： Students

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DAMIA: Leveraging domain adaptation as a defense against membership inference attacks

arXiv

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arXiv 2020年

作者： Huang, Hongwei Luo, Weiqi Zeng, Guoqiang Weng, Jian Zhang, Yue Yang, Anjia College of Informatin Science and Technology College of Cyber security National Joint Engineering Research Center of Network Security Detection and Protection Technology Guangdong Key Laboratory of Data Security and Privacy Preserving Jinan University Guangzhou510632 China

Deep Learning (DL) techniques allow one to train a model from a dataset, and the model can be adopted to solve tasks. DL has attracted much interest given its fancy performance and potential market value, while security issues are amongst the most colossal concerns. Being a core engine of DL, models may be prone to the membership inference attack, where an attacker determines whether a given sample is from the dataset the model trained on. Efforts have been made to hinder the attack but unfortunately, they may be subject to a major overhead or impaired usability. In this paper, we propose and implement DAMIA, leveraging Domain Adaptation (DA) as a defense to counter membership inference attacks. Our observation is that during the training process, DA obfuscates the dataset to be protected using another related dataset, and derives a model that underlyingly extracts the features from both the original dataset and the introduced dataset. Seeing that the model is obfuscated, membership inference fails, while the extracted common features provide supports for usability. Extensive experiments have been conducted, which validates our intuition. The model counters the membership inference attacks and has a negligible footprint to the usability. Our experiment also excludes a few factors that may hinder the performance of DAMIA, providing a potential guideline that instructs the vendors and researchers to benefit from our solution in a timely manner. Copyright © 2020, The Authors. All rights reserved.

关键词： Network security

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Extending Registration and Authentication Processes of FIDO2 External Authenticator with QR Codes

Extending Registration and Authentication Processes of FIDO2...

引用

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

作者： Chengqian Guo Quanwei Cai Qiongxiao Wang Jingqiang Lin State Key Laboratory of Information Security Institute of Information Engineering CAS Data Assurance and Communication Security Research Center CAS School of Cyber Security University of Chinese Academy of Sciences School of Cyber Security University of Science and Technology of China

ISBN: (数字)9781665403924

ISBN: (纸本)9781665403931

FIDO2, the newest set of FIDO specifications, enables the user to leverage an external authenticator for the authentication in both mobile and desktop environments (referred to as user agent). For the secure registration and authentication, FIDO2 requires the external authenticator and user agent to establish a confidential and mutually authenticated data transport channel through either USB interfaces, Near Field Communication (NFC) or Bluetooth. However, the external authenticator and host may not be equipped with one of the above physical media simultaneously, for example, a desktop may only have USB interfaces while an external authenticator (e.g., a smartphone) may have no USB inferfaces. This affects the wide adoption of FIDO2. In this paper, we extend the registration and authentication processes of FIDO2 external authenticator with QR code, which enables the external authenticator being equipped with a camera to be used for the authentication at any user agent. During the registration process, our scheme requires the user to provide the original credential and a one-time password displayed on the authenticator, and therefore ensures the correct user will only be bound with the expected authenticator. The security of our scheme has been formally analyzed based on the Dolev-Yao style model, a widely adopted model for the analysis of web systems. We have implemented the prototype, and the performance evaluation demonstrated the efficiency of our scheme, which needs 373 ms for registration and 141 ms for authentication in our environment.

关键词： Analytical models Privacy Authentication Prototypes Near field communication Universal Serial Bus security

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TML-CDS: Trusted Multi-layer Connected Dominating Set for Secure Routing in Distributed Networks

TML-CDS: Trusted Multi-layer Connected Dominating Set for Se...

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GLOBECOM 2022 - 2022 IEEE Global Communications Conference

作者： Weidong Fang Li Yi Chunsheng Zhu Guoqing Jia Wuxiong Zhang Science and Technology on Micro-system Laboratory Shanghai Institute of Micro-system and Information TechnologyChinese Academy of Sciences Shanghai P. R. China University of Chinese Academy of Sciences. Beijing P. R. China Shanghai Research and Development Center for Micro-Nano Electronics Shanghai P. R. China College of Big Data and Internet Shenzhen Technology University Shenzhen Guangdong China College of Physics and Electronic Information Engineering Qinghai Minzu University Xining P. R. China Zhongke WaterTech Research (Jiangxi) Technology Co. Ltd. Nanchang P. R. China

ISBN: (纸本)9781665435413

The internal attack launched by compromised nodes is a serious security risk in distributed networks. It is due to the openness of wireless channel and the lack of trust relationships between nodes. The trust model is an interesting approach to detect and remove these compromised nodes from the trusted routing table and maintain trust relationships in distributed networks. However, how to construct the secure dominating node to aggregate and forward the information is an enormous challenge in distributed networks. In this paper, a distributed construction algorithm of multi-layer connected dominating set is proposed for secure routing with trust models. The probabilities of nodes being compromised, combined with the trust value of the trust model, are used to construct a trusted multi-layer connected dominating set. Moreover, the impact of a node being compromised on the distributed network is quantified as loss expectation. The simulation results show that the proposed algorithm can effectively reduce the impact of nodes being compromised on the distributed network, and enhance the security of the network.

关键词： Wireless communication Simulation Aggregates Routing security Global communication Communication system security

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Cost-efficient and skew-aware data scheduling for incremental learning in 5G network

arXiv

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arXiv 2020年

作者： Pu, Lingjun Yuan, Xinjing Xu, Xiaohang Chen, Xu Zhou, Pan Xu, Jingdong The College of Computer Science Nankai University Tianjin300071 China The State Key Laboratory of Integrated Services Networks Xidian University Xi’an710126 China The School of Computer Science and Engineering Sun Yat-Sen University Guangzhou510006 China The Pazhou Lab. Guangzhou510335 China The Hubei Engineering Research Center on Big Data Security The School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China

To facilitate the emerging applications in 5G networks, mobile network operators will provide many network functions in terms of control and prediction. Recently, they have recognized the power of machine learning (ML) and started to explore its potential to facilitate those network functions. Nevertheless, the current ML models for network functions are often derived in an offline manner, which is inefficient due to the excessive overhead for transmitting a huge volume of dataset to remote ML training clouds and failing to provide the incremental learning capability for the continuous model updating. As an alternative solution, we propose Cocktail, an incremental learning framework within a reference 5G network architecture. To achieve cost efficiency while increasing trained model accuracy, an efficient online data scheduling policy is essential. To this end, we formulate an online data scheduling problem to optimize the framework cost while alleviating the data skew issue caused by the capacity heterogeneity of training workers from the long-term perspective. We exploit the stochastic gradient descent to devise an online asymptotically optimal algorithm, including two optimal policies based on novel graph constructions for skew-aware data collection and data training. Small-scale testbed and large-scale simulations validate the superior performance of our proposed framework. © 2020, CC BY.

关键词： 5G mobile communication systems

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Peripheral-free device pairing by randomly switching power

arXiv

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arXiv 2020年

作者： Shao, Zhijian Weng, Jian Zhang, Yue Wu, Yongdong Li, Ming Weng, Jiasi Luo, Weiqi Yu, Shui College of Informatin Science and Technology College of Cyber security National Joint Engineering Research Center of Network Security Detection and Protection Technology Guangdong Key Laboratory of Data Security and Privacy Preserving Jinan University Guangzhou510632 China University of Technology Sydney UltimoNSW Australia

The popularity of Internet-of-Things (IoT) comes with security concerns. Attacks against wireless communication venues of IoT (e.g., Man-in-the-Middle attacks) have grown at an alarming rate over the past decade. Pairing, which allows the establishment of the secure communicating channels for IoT devices without a prior relationship, is thus a paramount capability. Existing secure pairing protocols require auxiliary equipment/peripheral (e.g., displays, speakers and sensors) to achieve authentication, which is unacceptable for low-priced devices such as smart lamps. This paper studies how to design a peripheral-free secure pairing protocol. Concretely, we design the protocol, termed SwitchPairing, via out-of-box power supplying chargers and on-board clocks, achieving security and economics at the same time. When a user wants to pair two or more devices, he/she connects the pairing devices to the same power source, and presses/releases the switch on/off button several times. Then, the press and release timing can be used to derive symmetric keys. We implement a prototype via two CC2640R2F development boards from Texas Instruments (TI) due to its prevalence. Extensive experiments and user studies are also conducted to benchmark our protocol in terms of efficiency and security. Copyright © 2020, The Authors. All rights reserved.

关键词： Internet of things

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MorLog: Morphable Hardware Logging for Atomic Persistence in Non-Volatile Main Memory

MorLog: Morphable Hardware Logging for Atomic Persistence in...

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Annual International Symposium on Computer Architecture, ISCA

作者： Xueliang Wei Dan Feng Wei Tong Jingning Liu Liuqing Ye Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology (School of Computer Science and Technology Huazhong University of Science and Technology) Ministry of Education of China

ISBN: (数字)9781728146614

ISBN: (纸本)9781728146621

Byte-addressable non-volatile memory (NVM) is emerging as an alternative for main memory. Non-volatile main memory (NVMM) systems are required to support atomic persistence and deal with the high overhead of programming NVM cells. To this end, recent studies propose hardware logging and data encoding designs for NVMM systems. However, prior hardware logging designs incur either extra ordering constraints or redundant log data. Moreover, existing data encoding designs are unaware of the characteristics of log data, resulting in writing unnecessary log *** this paper, we propose a morphable hardware logging design (MorLog) that only logs the data necessary for recovery and dynamically selects encoding methods with least write overhead. We observe that (1) only the oldest undo and the newest redo data in each transaction are necessary for recovery, and (2) the log data for clean bits are clean. The first motivates our morphable logging mechanism. This mechanism logs both undo and redo data for the first update to the data in a transaction, and then logs only redo data. Undo data are eagerly written to NVMM to ensure atomicity, while redo data are buffered in a volatile log buffer and L1 caches to write only the newest redo data to NVMM. The second motivates our selective log data encoding mechanism. This mechanism simultaneously encodes log data with different methods, and writes the encoded log data with the least write cost to NVMM. We devise a differential log data compression method to exploit the characteristics of log data. This method directly discards clean bits from log data and compresses remained dirty bits. Our evaluation shows that MorLog improves performance by 72.5%, reduces NVMM write traffic by 41.1%, and decreases NVMM write energy by 49.9% compared with the state-of-the-art design.

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