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A New Encryption Mechanism Supporting the Update of Encrypted Data for Secure and Efficient Collaboration in the Cloud Environment

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Computer Modeling in Engineering & sciences 2025年第1期142卷 813-834页

作者： Chanhyeong Cho Byeori Kim Haehyun Cho Taek-Young Youn department of cyber security Dankook UniversityYongin16890Republic of Korea department of Software Soongsil UniversitySeoul07027Republic of Korea

With the rise of remote collaboration,the demand for advanced storage and collaboration tools has rapidly ***,traditional collaboration tools primarily rely on access control,leaving data stored on cloud servers vulnerable due to insufficient *** paper introduces a novel mechanism that encrypts data in‘bundle’units,designed to meet the dual requirements of efficiency and security for frequently updated collaborative *** bundle includes updated information,allowing only the updated portions to be reencrypted when changes *** encryption method proposed in this paper addresses the inefficiencies of traditional encryption modes,such as Cipher Block Chaining(CBC)and Counter(CTR),which require decrypting and re-encrypting the entire dataset whenever updates *** proposed method leverages update-specific information embedded within data bundles and metadata that maps the relationship between these bundles and the plaintext *** utilizing this information,the method accurately identifies the modified portions and applies algorithms to selectively re-encrypt only those *** approach significantly enhances the efficiency of data updates while maintaining high performance,particularly in large-scale data *** validate this approach,we conducted experiments measuring execution time as both the size of the modified data and the total dataset size *** show that the proposed method significantly outperforms CBC and CTR modes in execution speed,with greater performance gains as data size ***,our security evaluation confirms that this method provides robust protection against both passive and active attacks.

关键词： Cloud collaboration mode of operation data update efficiency

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Deep Synchronization Control of Grid-Forming Converters:A Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2025年第1期 273-275页

作者： Zhuorui Wu Meng Zhang Bo Fan Yang Shi Xiaohong Guan the School of cyber science and Engineering Xi'an Jiaotong University the department of Mechanical Engineering University of Victoria

Dear Editor,This letter proposes a deep synchronization control(DSC) method to synchronize grid-forming converters with power grids. The method involves constructing a novel controller for grid-forming converters based on the stable deep dynamics model. To enhance the performance of the controller, the dynamics model is optimized within the deep reinforcement learning(DRL) framework. Simulation results verify that the proposed method can reduce frequency deviation and improve active power responses.

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Efficient privacy-preserving user authentication scheme with forward secrecy for industry 4.0

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science China(Information sciences) 2022年第1期65卷 192-206页

作者： Chenyu WANG Ding WANG Guoai XU Debiao HE School of cyber security Beijing University of Posts and Telecommunications State Key Laboratory of Cryptology College of cyber science Nankai University Tianjin Key Laboratory of Network and Data security Technology Nankai University School of cyber science and Engineering Wuhan University

Industry 4.0, which combines information technology, network and industrial production, is expected to have a tremendous impact on our daily lives. In such a complex and security-critical system with resource-constrained sensor nodes, the design of a secure user authentication scheme for preventing real-time data from unauthorized access is full of challenges, and the main crux lies in how to realize the important property of forward secrecy. Existing schemes either fail to achieve forward secrecy or achieve forward secrecy with high computation cost on sensor nodes. Besides, they often fail to conform to the development trend of industry 4.0 systems where a cloud center is necessary to help intelligent decision-making and alleviate computation and storage pressure. Therefore, in this paper, we propose an efficient privacy-preserving user authentication scheme with forward secrecy for industry 4.0, and formally prove its security in the random oracle model. Compared with previous schemes, it has three advantages:(1) all eleven state-of-the-art criteria are achieved;(2) its computation cost on sensor nodes is comparable to those insecure schemes that employ only symmetric cryptographic algorithms, and is superior to those that also use asymmetric cryptographic algorithms;(3) it takes the advantage of the computation and storage capabilities of the cloud center to achieve user anonymity and the resistance to offline dictionary attack without performing any asymmetric cryptographic algorithms on gateways. Our computation cost on gateways is the smallest among all state-of-the-art relevant schemes for comparison.

关键词： industry 4.0 wireless sensor networks password authentication forward secrecy offline dictionary attack

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A novel batch-based LKH tree balanced algorithm for group key management

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science China(Information sciences) 2017年第10期60卷 255-257页

作者： Jie XU Linke LI Sibian LU Huayun YIN Center for cyber security School of Communication and Information EngineeringUniversity of Electronic Science and Technology of China

Logical key hierarchy(LKH)is the most suitable key management scheme for a large dynamic group[1,2].Ref.[3]proposed LKH key management scheme,but it did not discuss how to keep tree balanced when membership ***.[4]pro-

关键词： LKH A novel batch-based LKH tree balanced algorithm for group key management

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Novel Architecture of security Orchestration, Automation and Response in Internet of Blended Environment

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Computers, Materials & Continua 2022年第10期73卷 199-223页

作者： Minkyung Lee Julian Jang-Jaccard Jin Kwak ISAA Lab Department of Cyber SecurityAjou UniversitySuwon16499Korea department of Computer science and Information Technology Massey UniversityAuckland0745New Zealand department of cyber security Ajou UniversitySuwon16499Korea

New technologies that take advantage of the emergence of massive Internet of Things(IoT)and a hyper-connected network environment have rapidly increased in recent *** technologies are used in diverse environments,such as smart factories,digital healthcare,and smart grids,with increased security *** intend to operate security Orchestration,Automation and Response(SOAR)in various environments through new concept definitions as the need to detect and respond automatically to rapidly increasing security incidents without the intervention of security personnel has *** facilitate the understanding of the security concern involved in this newly emerging area,we offer the definition of Internet of Blended Environment(IoBE)where various convergence environments are interconnected and the data analyzed in *** define Blended Threat(BT)as a security threat that exploits security vulnerabilities through various attack surfaces in the *** propose a novel SOAR-CUBE architecture to respond to security incidents with minimal human intervention by automating the BT response *** security Orchestration,Automation,and Response(SOAR)part of our architecture is used to link heterogeneous security technologies and the threat intelligence function that collects threat data and performs a correlation analysis of the *** is operated under Collaborative Units of Blended Environment(CUBE)which facilitates dynamic exchanges of data according to the environment applied to the IoBE by distributing and deploying security technologies for each BT type and dynamically combining them according to the cyber kill chain stage to minimize the damage and respond efficiently to BT.

关键词： Blended threat(BT) collaborative units for blended environment(CUBE) internet of blended environment(IoBE) security orchestration,automation and response(SOAR)

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A Hierarchy Distributed-Agents Model for Network Risk Evaluation Based on Deep Learning

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Computer Modeling in Engineering & sciences 2019年第7期120卷 1-23页

作者： Jin Yang Tao Li Gang Liang Wenbo He Yue Zhao College of cyber security Department of Computing and SoftwareSichuan UniversityChengduChina McMaster University Science and Technology on Communication Security LaboratoryCanada science and Technology on Communication security Laboratory ChengduChina

Deep Learning presents a critical capability to be geared into environments being constantly changed and ongoing learning dynamic,which is especially relevant in Network Intrusion *** this paper,as enlightened by the theory of Deep Learning Neural Networks,Hierarchy Distributed-Agents Model for Network Risk Evaluation,a newly developed model,is *** architecture taken on by the distributed-agents model are given,as well as the approach of analyzing network intrusion detection using Deep Learning,the mechanism of sharing hyper-parameters to improve the efficiency of learning is presented,and the hierarchical evaluative framework for Network Risk Evaluation of the proposed model is ***,to examine the proposed model,a series of experiments were conducted in terms of NSLKDD *** proposed model was able to differentiate between normal and abnormal network activities with an accuracy of 97.60%on NSL-KDD *** the results acquired from the experiment indicate,the model developed in this paper is characterized by high-speed and high-accuracy processing which shall offer a preferable solution with regard to the Risk Evaluation in Network.

关键词： Network security deep learning(DL) intrusion detection system(IDS) distributed agents

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Fuzzy Clustering with the Structural α-Entropy

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Chinese Journal of Electronics 2018年第6期27卷 1118-1125页

作者： LI Kai GAO Yan School of cyber security and Computer Hebei University

We study fuzzy clustering with the structural α-entropy and present a unified framework for fuzzy clustering with fuzzy entropy, which can be regarded fuzzy clustering with fuzzy entropy as its special case. Then,aiming at weighting exponent m equal to the structuralα-entropy index α in the presented unified framework, we obtain the fuzzy membership degrees and cluster centers using Lagrange method. Further, we propose the Structural α-entropy based fuzzy c-means(SEFCM) ***, to solve clustering of the complicated data, we also present the Structural α-entropy based kernel fuzzy c-means(SEKFCM) algorithm. In experiment, some University of California Irvine(UCI) data sets and synthetic data sets are used to test the performance of the presented algorithms and the role of the structural α-entropy. The experimental results show that the presented algorithms obtain better clustering result.

关键词： Structural α-entropy Unified framework Kernel function Fuzzy clustering Structural α-entropy based fuzzy c-means(SEFCM) algorithm Structural α-entropy based kernel fuzzy c-means(SEKFCM) algorithm

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Specific Emitter Identification Based on Visibility Graph Entropy

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Chinese Physics Letters 2018年第3期35卷 9-13页

作者：朱胜利甘露 Center for cyber security School of Electronic Engineering University of Electronic Science and Technology of China

The specific emitter identification （SEI） technique some external feature measurements of the signal. determines the unique emitter of a given signal by using It has recently attracted a great deal of attention because many applications can benefit from it. This work addresses the SEI problem using two methods, namely, the normalized visibility graph entropy （NVGE） and the normalized horizontal visibility graph entropy （NHVGE） based on treating emitters as nonlinear dynamical systems. Firstly, the visibility graph （VG） and the horizontal visibility graph （HVG） are used to convert the instantaneous amplitude, phase and frequency of received signals into graphs. Then, based on the information captured by the VG and the HVG, the normalized Shannon entropy （NSE） calculated from the corresponding degree distributions are utilized as the rf fingerprint. Finally, four emitters from the same manufacturer are utilized to evaluate the performance of the two methods. Experimental results demonstrate that both the NHVGE-based method and NVGE-based method are quite effective and they perform much better than the method based on the normalized permutation entropy （NPE） in the case of a small amount of data. The NVGE-based method performs better than the NHVGE-based method since the VG can extract more information than the HVG does. Moreover, our methods do not distinguish between the transient signal and the steady-state signal, making it practical.

关键词： SEI Specific Emitter Identification Based on Visibility Graph Entropy NPE

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ePUF: A Lightweight Double Identity Verification in IoT

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Tsinghua science and Technology 2020年第5期25卷 625-635页

作者： Bo Zhao Pengyuan Zhao Peiru Fan the School of cyber science and Engineering Wuhan UniversityWuhan 430072China the School of cyber security and Computer Hebei UniversityBaoding 071002China

Remote authentication is a safe and verifiable *** the Internet of Things (loT),remote hosts need to verify the legitimacy of identity of terminal ***,embedded devices can hardly afford sufficient resources for the necessary trusted hardware *** authentication with no hardware guarantee is generally vulnerable to various network *** this paper,we propose a lightweight remote verification *** protocol utilizes the unique response returned by Physical Unclonable Function (PUF) as legitimate identity basis of the terminal devices and uses quadratic residues to encrypt the PUF authentication process to perform a double identity verification *** scheme is secure against middleman attacks on the attestation response by preventing conspiracy attacks from forgery authentication.

关键词： Internet of Things(IoT) Identity-Based Encryption(IBE) Physically Unclonable Functions(PUFs)

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SEOT: Secure dynamic searchable encryption with outsourced ownership transfer

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Frontiers of Computer science 2023年第5期17卷 165-177页

作者： Jianwei LI Xiaoming WANG Qingqing GAN department of Information science and Technology Jinan UniversityGuangzhou 510632China department of cyber security Guangdong University of Foreign StudiesGuangzhou 510006China

When one enterprise acquires another,the electronic data of the acquired enterprise will be transferred to the acquiring *** particular,if the data system of acquired enterprise contains a searchable encryption mechanism,the corresponding searchability will also be *** this paper,we introduce the concept of Searchable Encryption with Ownership Transfer(SEOT),and propose a secure SEOT *** on the new structure of polling pool,our proposed searchable encryption scheme not only achieves efficient transfer of outsourced data,but also implements secure transfer of data ***,we optimize the storage cost for user to a desirable *** prove our scheme can achieve the secure characteristics,then carry out the performance evaluation and *** results demonstrate that our scheme is superior in efficiency and practicability.

关键词： cloud computing ownership transfer searchable encryption forward secure outsourced computation

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