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检索条件"任意字段=Proceedings of the 5th ACM Conference on Data and Application Security and Privacy"

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Research on Setting of Two Firewall Rules Based on Ubuntu Linux System 5

Research on Setting of Two Firewall Rules Based on Ubuntu Li...

引用

5th International conference on Computer Network, Electronic and Automation, ICCNEA 2022

作者： Ma, Limei Zhao, Dongmei Hebei Normal University College of Computer and Cyber Security Shijiazhuang China Key Laboratory of Network and Information Security in Hebei Province Shijiazhuang China

ISBN: (数字)9781665491099

ISBN: (纸本)9781665491099

'security first' is the most concerned issue of Linux administrators. security refers to the integrity of data. the authentication security and integrity of data are higher than the privacy security of data. Firewall is used to realize the function of access control under Linux. It is divided into hardware or software firewall. No matter in which network, the firewall must work at the edge of the network. Our task is to define how the firewall works. this is the firewall's policies and rules, so that it can detect the IP and data in and out of the network. At present, there are three or four layers of firewalls on the market, which are called network layer firewalls, and seven layers of firewalls, which are actually the gateway of the agent layer. But for the seven layer firewall, no matter what your source port or target port, source address or target address is, it will check all your things. therefore, the seven layer firewall is more secure, but it brings lower efficiency. therefore, the usual firewall schemes on the market are a combination of the two. And because we all need to access from the port controlled by the firewall, the work efficiency of the firewall has become the most important control of how much data users can access. this paper introduces two types of firewalls iptables and TCP_Wrappers. What are the differences between the use policies, rules and structures of the two firewalls? this is the problem to be discussed in this paper. © 2022 IEEE.

关键词： Network layers

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Network Information security System Based on Information Hiding Technology

Network Information Security System Based on Information Hid...

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5th International conference on Machine Learning and Big data Analytics for IoT security and privacy, SPIoT 2024

作者： Zhou, Jiyin School of Big Data Chongqing Vocational College of Transportation Chongqing Jiangjin402247 China

With the continuous development of information security technology, information hiding technology is gradually valued by people, and its application in network systems is more and more extensive, but the current Computer virus and hacker intrusion and other factors have led to a large number of data loss, destruction and theft. To ensure the safety of network info, this paper analyzes the system of message hiding technology based on message hiding technology, analyzes the hidden danger of the message safety, adopts the message hiding technology based network info safety system, and indicates the application of message hiding technology in the electric power network security. It protects the information in network transmission through digital signatures, information detection, or other forms of sensitive data during network communication. this technology can not only hide sensitive information, but also detect and prevent unauthorized access, attacks, and tampering. Testing the concealment and performance of the network info safety based on message hiding technology shows that the system has high concealment. Information hiding technology can effectively hide network information, with an average concealment rate of 93% and better performance. A Internet info safety system can effectively protect information safety and avoid risks. © 2025 the Authors. Published by Elsevier B.V.

关键词： Sensitive data

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application Status, Problems and Future Prospects of Generative AI in Education

Application Status, Problems and Future Prospects of Generat...

引用

Computer Science and Technologies in Education (CSTE), International conference on

作者： Hao Yu Zhaoyang Liu Yunyun Guo Department of Education Shaanxi Normal University Xi'an China School of Foreign Languages Northwest University Xi'an China

the emergence of Chat GPT signifies another revolutionary wave of information technology brought about by generative AI. this article introduces the development and technical support of generative AI, revealing that there are four main issues regarding its application in the education field: opacity and inexplicability, data privacy and security, individualization and fairness, and effectiveness and reliability. the article then looks forward to the future trends of generative AI in the education field from four aspects: personalized education, intelligent teaching, joint education, and virtual teaching, aiming to provide important reference value for research and practice in this field.

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Power IoT security protection architecture based on zero trust framework 5

Power IoT security protection architecture based on zero tru...

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5th IEEE International conference on Cryptography, security and privacy (CSP)

作者： Zhang Xiaojian Chen Liandong Jie, Fan Wang Xiangqun Wang Qi Global Energy Interconnect Res Inst Co Ltd State Grid Key Lab Informat & Network Secur Nanjing Jiangsu Peoples R China State Grid Hebei Elect Power Co Dept Name State Grid Hebei Informat Nanjing Jiangsu Peoples R China State Grid Hebei Elect Power Co Telecommun Branch Nanjing Jiangsu Peoples R China

ISBN: (数字)9781728186214

ISBN: (纸本)9781728186214

the construction of the power Internet of things has led various terminals to access the corporate network on a large scale. the internal and external business interaction and data exchange are more extensive. the current security protection system is based on border isolation protection. this is difficult to meet the needs of the power Internet of things connection and open shared services. this paper studies the application scheme of the "zero trust" typical business scenario of the power Internet of things with "Continuous Identity Authentication and Dynamic Access Control" as the core, and designs the power internet security protection architecture based on zero trust.

关键词： POWER JO ZERO TRUST DYNAMIC ACCESS CONTROL

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5th International Workshop on Artificial Intelligence for Bu...

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ISBN: (纸本)9783030943424

the proceedings contain 33 papers. the special focus in this conference is on Artificial Intelligence for Business Process Management. the topics include: Process Innovation in the EU Public Sector through the Lens of BPM Ambidexterity;the BPM Governance Supporting Factors and Implementation Barriers – the Experience of a Public University;about a Process-Technology Fit for Process Improvements in an Ambidextrous Environment;exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia;expanding Modeling Notations: Requirements for Creative Process Modeling;analyzing Digital Trace data to Promote Discovery – the Case of Heatmapping;predicting Process Structure After a Disruption: An Example from the Clinical Documentation Process;capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study;digital Twin of an Organization: Are You Serious?;creating Unbiased Public Benchmark datasets with data Leakage Prevention for Predictive Process Monitoring;pair Modeling: Does One Plus One Add Up?;on the Systematic Analysis of Process Landscape Method Implementation Using Grounded theory;business Process Improvement in Industry 4.0: An Interorganizational Perspective;the Effect of Self-healing on Process Acceptance;PACAs: Process-Aware Conversational Agents;intelligent Robots in Business Processes: A Students’ Perspective;modeling Objectives of Knowledge Workers;extracting Decision Dependencies and Decision Logic from Text Using Deep Learning Techniques;decision Modelling in Timed Dynamic Condition Response Graphs with data;A Context and Augmented Reality BPMN and BPMS Extension for Industrial Internet of things Processes;exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities;supporting Users in the Continuous Evolution of Automated Routines in their Smart Spaces;matching Metadata on Blockchain for Self-Sovereign Identity.

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Improved Layered Architecture: Integration of IoT with Blockchain for Increased security and Scalability

Improved Layered Architecture: Integration of IoT with Block...

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International conference on Artificial Intelligence and data Sciences (AiDAS)

作者： Muhammad Jahangir Ming Jie Lee Ban-Hoe Kwan Tariq Kamal Tong-Yuen Chai Wing Son Loh Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul Rahman Kajang Malaysia Electrical and Computer Engineering Dhanani School of Science & Engineering Karachi Pakistan

ISBN: (数字)9798331528553

ISBN: (纸本)9798331528560

Most of the existing Internet of things (IoT) applications are built upon the conventional three-layered architecture that possesses several issues in terms of security, privacy and scalability. In this paper, we propose a five-layer architecture to mitigate the issues faced by the three-layered IoT applications. In particular, two layers: (i) data-link layer and (ii) IoT-Blockchaln layer were introduced. the data-link layer authenticates the legitimate device during the data transmission; while the IoT-Blockchain utilizes the distributed storage to prevent the data from being tampered. To testify the performance of the proposed method in terms of publishing time, experiments were conducted based on two setups: (i) single node setup and (ii) dual node setup. the results suggested the proposed method is highly scalable where the single node setup required an average of 9.4 seconds and dual node setup required 8.66 seconds. Future research will explore various network configurations and the integration of the Internet of things application (IOTA), a feeless and lightweight blockchain, to further optimize scalability and efficiency.

关键词： Performance evaluation privacy Publishing Scalability Blockchains Internet of things security data communication Artificial intelligence

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Smart Secure Healthcare Cloud data Model by Fog 5

Smart Secure Healthcare Cloud Data Model by Fog

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5th International conference on Electronics, Communication and Aerospace Technology, ICECA 2021

作者： Maria, Reega Thejus Engineering College Dept. of Computer Science and Engineering Vellarakkad Kerala Thrissur India

ISBN: (纸本)9781665435246

Fog computing provides a security model for privacy-preserving healthcare data in the cloud, such as video (surgery footage, endoscope, ultrasound) and images (X-ray, CT scan, MRI). Here, a decoy approach is used to prevent data tampering and information leakage. In the case of video, hiding AES encrypted video inside an image then the output becomes uploaded image and for images use decoy algorithm, blowfish, and Hmac. this paper provides integrity, confidentiality, and availability © 2021 IEEE.

关键词： Computerized tomography

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Enhancing data Protection in Cloud Computing using Key Derivation based on Cryptographic Technique 5

Enhancing Data Protection in Cloud Computing using Key Deriv...

引用

5th International conference on Computing Methodologies and Communication, ICCMC 2021

作者： Suresha, D. Karibasappa, K. Vtu Belagavi India

ISBN: (纸本)9781665403603

Cloud computing is one of the emerging information technologies, where millions of users store and access the information. As huge amount of data is stored in cloud data centers, data needs to be protected in all the aspects. Number of research works are proposed to address the data security and privacy issues. Since, huge amounts of data and applications are stored in the cloud, reliable and cost-effective data protection solutions are required. this paper has proposed a technique to enhance the data protection using key derivation based encryption technique. the proposed mechanism provides confidentiality, authentication and modification for the data stored in cloud. To provide data protection, a mechanism is designed to derive three separate secret keys from a single master key and each key is used for specific operation. the experimental results show that, the proposed method uses lower computational costs, while deriving the secret keys. the scheme also enhances data security by increasing the size of the keys and restricts hackers in cracking the secret keys. © 2021 IEEE.

关键词： Authentication

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data privacy Protection Method of Smart IOT Platform Based on Differential privacy 22

Data Privacy Protection Method of Smart IOT Platform Based o...

引用

proceedings of the 5th International conference on Information Technologies and Electrical Engineering

作者： Wenjun Zhu Yan Li Wensheng Wang Jinhong Zhu Yue Wei IoT Department Beljing China-power Information Technology Co.ltd. China

ISBN: (纸本)9781450396806

In recent years, with 5G and other key technology breakthroughs, IoT technology is accelerating penetration into various industries, and the era of Internet of Everything is coming. However, while the industry is promoting the rapid development of industrial IoT, IoT security issues are also coming up. Based on this, this paper proposes a data privacy protection method for the smart IoT platform, which first adopts zero-knowledge identity proof technology to complete the identity access authentication of a large number of IoT terminal devices; then the data is downscaled and aggregated in the intermediate data collection device, and then the processed data is added to the noise based on Laplace distribution, and finally the data is transmitted to the main server, thus realizing the smart IoT platform data privacy protection in the process of data transmission.

关键词： Smart IoT platform data dimensionality reduction privacy protection data aggregation Differential privacy

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A Novel GAN based User Desensitization data Generation Algorithm 21

A Novel GAN based User Desensitization Data Generation Algor...

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5th International conference on Electronic Information Technology and Computer Engineering, EITCE 2021

作者： Shi, Congcong Yu, Pengfei Huang, Xiuli State Grid Key Laboratory of Information and Network Security Global Energy Interconnection Research Institute Co. Ltd. Jiangsu Province Nanjing China

ISBN: (纸本)9781450384322

In recent years, how to use user data rationally has become a hot topic of discussion. In order to solve the problem that existing user desensitised data generation methods lead to the unavailability of the user profile analysis function of applications, this paper proposes a generative adversarial network-based algorithm for generating user privacy desensitised data, which improves the usability of the data while ensuring data privacy. the algorithm is based on generative adversarial networks, using a differential autoencoder to extract user data features and migrate the features to the desensitised data;it also uses a multi-headed attention mechanism to intensively extract the main features of the user data;in order to ensure that the desensitised data can be used for the Android app's own user portrait analysis, its discriminator uses the app's own neural network learning model to adjust the output of the generator. Due to the stochastic nature of the differential auto-encoder learning process and the approximation process, the desensitised data are independent of the user's original data, thus protecting the user's private data. the desensitised data are guided by the discriminator with the characteristics of the original data, and the results of user profiling based on this desensitised data are approximately the same as the results of the original data analysis, which protects user privacy without compromising profiling. © 2021 acm.

关键词： Generative adversarial networks

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