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18th International Conference on Intelligent Systems and Knowledge engineering, ISKE 2023

作者： An, Qiulong Wu, Jianning Huang, Tianqiang Huang, Liqing Luo, Haifeng Ye, Feng College of Computer and Cyber Security Fujian Normal University Digital Fujian Institute of Big Data Security Technology Fujian Provincial Engineering Research Center of Big Data Analysis and Application Fuzhou China

ISBN: (纸本)9798350318401

Most existing deep clustering models attempt to group similar datas by using autoencoders to simultaneously minimize the clustering loss and reconstruction losses. However, these methods do not impose any constraints on the latent space, resulting in intermediate features that are not suitable for clustering. Moreover, they suffer from poor clustering performance when the number of clusters is large. To address this problem, this paper proposes an autoencoder network with preclustered center codebooks for clustering, two codebooks to represent the cluster centers and center offsets, respectively, making the network features more compatible with the clustering task. Finally, We conducted experiments on CIFAR-10 and STL-10 datasets, the results indicate the effectiveness and superiority of the proposed network model. © 2023 IEEE.

关键词： Network coding

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Threats Detection and Analysis Based on SYSMON Tool 13

Threats Detection and Analysis Based on SYSMON Tool

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13th International Conference on Dependable Systems, Services and Technologies, DESSERT 2023

作者： Bahniuk, Nataliia Oleksandr, Linchuk Kateryna, Bortnyk Inna, Kondius Kateryna, Melnyk Kondius, Kostiantyn Lutsk National Technical University Department of Computer Engineering and Cyber Security Lutsk Ukraine Lutsk National Technical University Dean of the Faculty of Computer and Information Technologies Lutsk Ukraine

ISBN: (纸本)9798350396119

In this work, an nalysis for the study of threats in a real environment with the possibility of conducting a full-fledged analysis of threats, as well as their simulationhas been developed for research purposes. Designed laboratory was built for the threats research, specification of deploying and configuring Sysmon, imitation of an attack in laboratory conditions and its investigation by implicit signs, the processesing of threat analysis using the Sysmon tool. We present a system based on the analysis of continuous input chan-nels of Sysmon logs. The system is based on the cyber Threat Analysis Ontology and analyzes SYSMON logs to classify software according to different threat levels and enhance cyber defense capabilities with situational awareness, prediction and auto-mated actions. The developed laboratory improves the effectiveness of threat analysis using the Sysmon tool, makes study of threats, deploying and configuring Sysmon, imitation of an attack in laboratory conditions and its investigation by implicit signs. It can be applied for the study of threats in a real environment with the possibility of conducting a full-fledged analysis of threats, as well as their simulation for research purposes. © 2023 IEEE.

关键词： Laboratories

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An Analysis of security Protocols for Cloud Computing Algorithms in Mobile Ad Hoc Networks 3

An Analysis of Security Protocols for Cloud Computing Algori...

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3rd IEEE World Conference on Applied Intelligence and Computing, AIC 2024

作者： Mohammed, Abdul Sajid Dasari Sreeramulu, Madhusudhan Neravetla, Anuteja Reddy Gupta, Ketan Yuvaraj, N. University of the Cumberlands Dept of School of Computer and Information Sciences KY United States American Express Dept of Cyber Security United States University of the Cumberlands Department of Information Technology KY United States University of the Cumberlands Department of Information Technology WilliamsburgKY United States Sri Shakthi Institute of Engineering and Technology Computer Science and Engineering Tamil Nadu Coimbatore641062 India

ISBN: (纸本)9798350384598

Cellular ad Hoc Networks (MANETs) have become increasingly popular in cell computing packages, inclusive of cellular computing, fitness care, automobile, and army packages. As such, safety protocols used in the transmission of records over MANETs are of essential importance for their hit usage. In this paper, we endorse an evaluation of safety protocols for cloud computing algorithms in MANETs. We first discuss the main safety necessities that have to be satisfied. At the same time, a cloud set of rules is adopted in a MANET and then provides a survey of different security protocols that can be used to relax the cloud algorithms for MANETs. We are aware of precise cloud algorithms for MANETs: Opportunistic Routing and Cooperative Caching. We look at the safety of these cloud algorithms under three one-of-a-kind security protocols - SSL/TLS, IPSec, and 2FA - and examine the effect of these protection protocols on their execution. Finally, we summarize our findings and offer guidelines for the adoption of security protocols in MANETs for cloud-based total computing algorithms. © 2024 IEEE.

关键词： Cloud security

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Collecting and analyzing key-value data under shuffled differential privacy

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Frontiers of computer Science 2023年第2期17卷 241-243页

作者： Ning WANG Wei ZHENG Zhigang WANG Zhiqiang WEI Yu GU Peng TANG Ge YU Faculty of Information Science and Engineering Ocean University of ChinaQingdao 266100China School of Computer Science and Engineering Northeastern UniversityShenyang 110819China Key Lab of Cryptologic Technology and Information Security Ministry of EducationShandong UniversityQingdao 266200China School of Cyber Science and Technology Shandong UniversityQingdao 266200China

1 Introduction Key-value data,as NoSQL data widely used in recent years,has been frequently collected and used for analysis in major websites and mobile *** frequency distribution estimation on the key domain,as well as the mean estimation of values associated with the same key,are crucial and worth billion dollars in the ***,in real applications,the key-value records are submitted by terminal devices of different *** collecting the information from users may pose serious risks on personal *** the other hand,the emerging shuffled differential privacy(SDP)model[1]is proposed to collect sensitive data from users.

关键词： NoSQL app value

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Characterization and Properties of Bent-Negabent Functions

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Chinese Journal of Electronics 2022年第4期31卷 786-792页

作者： JIANG Niu ZHAO Min YANG Zhiyao ZHUO Zepeng CHEN Guolong School of Mathematical Sciences Huaibei Normal University Fujian Provincial Key Laboratory of Network Security and Cryptology Fujian Normal University School of Cyber Science University of Science and Technology of China School of Computer Engineering Bengbu University

A further characterization of the bentnegabent functions is presented. Based on the concept of complete mapping polynomial, we provide a necessary and sufficient condition for a class of quadratic Boolean functions to be bent-negabent. A new characterization of negabent functions can be described by using the parity of Hamming weight. We further generalize the classical convolution theorem and give the nega-Hadamard transform of the composition of a Boolean function and a vectorial Boolean function. The nega-Hadamard transform of a generalized indirect sum is calculated by this composition method.

关键词： Boolean function Bent-negabent function Walsh-Hadamard transform Nega-Hadamard transform

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MODELGUARD: information-theoretic defense against model extraction attacks 24

MODELGUARD: information-theoretic defense against model extr...

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Proceedings of the 33rd USENIX Conference on security Symposium

作者： Minxue Tang Anna Dai Louis DiValentin Aolin Ding Amin Hass Neil Zhenqiang Gong Yiran Chen Hai Helen Li Department of Electrical and Computer Engineering Duke University Cyber Security Lab Accenture

ISBN: (纸本)9781939133441

Malicious utilization of a query interface can compromise the confidentiality of ML-as-a-Service (MLaaS) systems via model extraction attacks. Previous studies have proposed to perturb the predictions of the MLaaS system as a defense against model extraction attacks. However, existing prediction perturbation methods suffer from a poor privacy-utility balance and cannot effectively defend against the latest adaptive model extraction attacks. In this paper, we propose a novel prediction perturbation defense named MODELGUARD, which aims at defending against adaptive model extraction attacks while maintaining a high utility of the protected system. We develop a general optimization problem that considers different kinds of model extraction attacks, and MODELGUARD provides an information-theoretic defense to efficiently solve the optimization problem and achieve resistance against adaptive attacks. Experiments show that MODELGUARD attains significantly better defensive performance against adaptive attacks with less loss of utility compared to previous defenses.

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ELI-Net: Ensemble learning interpretable networks for the classification of remote sensing images 11

ELI-Net: Ensemble learning interpretable networks for the cl...

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11th International Conference on Information Systems and Computing technology, ISCTech 2023

作者： Ai, Yizhuo Wei, Qin Tang, Hao Wu, Yuling Oxford Brookes University Chengdu University of Technology College of Computer and Cyber Security Chengdu China Southwest Jiaotong University School of Mechanical Engineering Chengdu China

ISBN: (纸本)9798350342406

Fine-grained target classification in optical remote sensing images is becoming one of the hotspots in the field of remote sensing image classification. Although many deep learning models have demonstrated good performance in fine-grained classification tasks for remote sensing images, the complexity and poor interpretability of the models have seriously affected the application of related techniques, and many existing interpretability analyses come at the expense of performance. In light of this, we propose an ensemble learning interpretable network (ELI-Net) for fine-grained classification in optical remote sensing images. The specific process is to provide interpretable analysis by transforming a common classification network structure and to improve the model accuracy by ensemble learning. We also carry out experiments on the FGSCR-42, a dataset of the fine-grained ship classification in remote sensing images, and the experimental results reveal that the transformed network model can achieve the goal of providing visual interpretation while ensuring higher performance. © 2023 IEEE.

关键词： Optical remote sensing

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Zero Trust Networks: Evolution and Application from Concept to Practice

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computers, Materials & Continua 2025年第2期82卷 1593-1613页

作者： Yongjun Ren Zhiming Wang Pradip Kumar Sharma Fayez Alqahtani Amr Tolba Jin Wang School of Computer Science School of Cyber Science and EngineeringEngineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science and TechnologyNanjing210044China Department of Computing Science University of AberdeenAberdeenAB243FXUK Software Engineering Department College of Computer and Information SciencesKing Saud UniversityRiyadh12372Saudi Arabia Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia Sanya Institute of Hunan University of Science and Technology Sanya572024China

In the context of an increasingly severe cybersecurity landscape and the growing complexity of offensive and defen-sive techniques,Zero Trust Networks(ZTN)have emerged as a widely recognized *** Trust not only addresses the shortcomings of traditional perimeter security models but also consistently follows the fundamental principle of“never trust,always verify.”Initially proposed by John Cortez in 2010 and subsequently promoted by Google,the Zero Trust model has become a key approach to addressing the ever-growing security threats in complex network *** paper systematically compares the current mainstream cybersecurity models,thoroughly explores the advantages and limitations of the Zero Trust model,and provides an in-depth review of its components and key ***,it analyzes the latest research achievements in the application of Zero Trust technology across various fields,including network security,6G networks,the Internet of Things(IoT),and cloud computing,in the context of specific use *** paper also discusses the innovative contributions of the Zero Trust model in these fields,the challenges it faces,and proposes corresponding solutions and future research directions.

关键词： Zero trust cybersecurity software-defined perimeter micro-segmentation internet of things

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Development of Authentication Framework Using GAIT for IoT Communication Models

Development of Authentication Framework Using GAIT for IoT C...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Nishat, Humaira Balaji, T.S. Shargunam, S. Sasikala, R. Rani, K. Cvr College of Engineering Department of Electronics and Communication Engineering Telangana Hyderabad India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu Chennai600026 India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Srivilliputhur India Karpagam College of Engineering Department of Cyber Security Tamilnadu Coimbatore641032 India M. Kumarasamy College of Engineering Department of Information Technology Tamilnadu Karur India

ISBN: (纸本)9798350383348

The data collected by the authorised sensor devices is transferred to the cloud for safe storage. Communication occurs via a secure key management system designed for a decentralised network. Subsequently, it is important to guarantee that only authorised individuals are able to get this data from the cloud. Ensuring user authentication is of utmost importance in resource-constrained IoT devices due to the large number of users accessing sensitive data. The current user authentication methods suffer from accuracy, error rate, and implementation time problems. A novel solution is offered to tackle these challenges by introducing a sophisticated stacked ensemble authentication architecture that utilises cellphones for IoT systems. The suggested authentication approach utilises gait analysis to authenticate individuals by recognising their unique patterns of human movement. A smartphone equipped with an accelerometer and gyroscope sensor is used to gather gait characteristics. The proposed system has two components: preprocessors and classifiers. The preprocessor performs noise reduction and feature extraction. Subsequently, stacked ensemble machine learning classification models, including base and meta classifiers, are used to classify the characteristics, such as linear acceleration, rotation rate, and gravity, for the purpose of user authentication. The accuracy and error rate of the outcomes are compared with the schemes that already exist. The observation indicates that the suggested framework attains a 95% accuracy rate, a lower error rate, and optimised execution time. © 2024 IEEE.

关键词： GAIT Authentication Internet of Things (IoT) KNN

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A Privacy-Preserving System Design for Digital Presence Protection

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computers, Materials & Continua 2023年第5期75卷 3091-3110页

作者： Eric Yocam Ahmad Alomari Amjad Gawanmeh Wathiq Mansoor Department of Computer and Cyber Sciences The Beacom CollegeDakota State UniversitySouth DakotaUSA Department of Software Engineering and Information Technology Ecole de Technologie Superieure(ETS)MontrealCanada College of Engineering and IT University of DubaiDubaiUnited Arab Emirates

A person’s privacy has become a growing concern,given the nature of an expansive reliance on real-time video activities with video capture,stream,and *** paper presents an innovative system design based on a privacy-preserving *** proposed system design is implemented by employing an enhanced capability that overcomes today’s single parameterbased access control protection mechanism for digital privacy *** enhanced capability combines multiple access control parameters:facial expression,resource,environment,location,and *** proposed system design demonstrated that a person’s facial expressions combined with a set of access control rules can achieve a person’s privacy-preserving *** findings resulted in different facial expressions successfully triggering a person’s face to be blurred and a person’s privacy when using a real-time video conferencing service captured from a webcam or virtual webcam.A comparison analysis of capabilities between existing designs and the proposed system design shows enhancement of the capabilities of the proposed system.A series of experiments exercising the enhanced,real-time multi-parameterbased system was shown as a viable path forward for preserving a person’s privacy while using a webcam or virtual webcam to capture,stream,and store videos.

关键词： Attribute-based access control authentication authorization biometrics facial recognition identity privacy machine learning deep learning

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