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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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Artificial Intelligence in Smart Mobile Communication Systems: A Review

Artificial Intelligence in Smart Mobile Communication System...

引用

IEEE International conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Adebajo-Akinpelu Victor O Moses Oluwafemi Onibonoje Ayodeji Olalekan Salau Department of Electrical/Electronics and Computer Engineering Afe Babalola Univerisity Ado-Ekiti Ado-Ekiti Nigeria Dept of Electrical/Electronics & Computer Engineering Afe Babalola University Ado Ekiti Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Communication and information service systems are undergoing rapid advancements driven by the evolution of telecommunications and computer technology. the convergence of these fields has led to significant growth in digital networks, which has spurred extensive research and exploration. However, optimizing the use of these networks with minimal additional costs—while integrating features such as video conferencing, email services, and remote database access— remains a substantial technological challenge. this study addresses the limitations of current mobile communication networks by exploring potential enhancements through the application of smart computing solutions, particularly artificial intelligence (AI). the research methodology involves a comprehensive review of existing mobile communication technologies and their integration with AI. this includes examining advancements in AI and machine learning (ML) as applied to mobile networks, with a focus on improving performance, flexibility, and automation. the results of the review indicate that AI and ML have significant potential to enhance network operations. By leveraging vast data generated within 5G systems, these technologies can optimize resource utilization, improve service quality, and support diverse emerging applications. Despite these advancements, challenges such as reliability, speed trade-offs, complexity, privacy, and security persist. the findings highlight the need for further research in AI, including deep neural network acceleration, parallel computing, cloud computing, and distributed deep learning systems. Such research is crucial for enabling mobile communication networks to achieve higher throughput and ultra-low latency. Conclusively, while AI-enabled communication systems offer promising solutions to many challenges, simplifying AI implementation is essential for practical deployment. this will ensure that future communication networks can effectively meet the growing demands and evolving

关键词： Deep learning privacy Reviews 5G mobile communication Parallel processing throughput Complexity theory security Resource management Artificial intelligence

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application of Information Technology in Civil Aviation Safety Management System under the Background of Internet 5

Application of Information Technology in Civil Aviation Safe...

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5th International conference on IoT in Social, Mobile, Analytics and Cloud (I-SMAC)

作者： Hu, Lushi Guangzhou Civil Aviat Coll Coll Airport Management Guangzhou 510403 Guangdong Peoples R China

ISBN: (纸本)9781665426428

With the continuous development and progress of advanced technology in the current society, the maturity of information technology has made it widely used in many industries and fields, and gradually plays an important and active role in social daily life. Based on information technology, at the same time, with the widespread application of electronic information technology, network security issues have also become a common concern. Exploring the value of electronic information technology has a positive impact on the development and progress of civil aviation. this article studies the application of information technology in the civil aviation safety management system under the background of the Internet.

关键词： Civil Aviation Safety Management Internet Information Technology data Mining Management System

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Right to Know, Right to Refuse: Towards UI Perception-Based Automated Fine-Grained Permission Controls for Android Apps 22

Right to Know, Right to Refuse: Towards UI Perception-Based ...

引用

proceedings of the 37th IEEE/acm International conference on Automated Software Engineering

作者： Vikas Kumar Malviya Chee Wei Leow Ashok Kasthuri Yan Naing Tun Lwin Khin Shar Lingxiao Jiang School of Computing and Information Systems Singapore Management University Singapore

ISBN: (纸本)9781450394758

It is the basic right of a user to know how the permissions are used within the Android app’s scope and to refuse the app if granted permissions are used for the activities other than specified use which can amount to malicious behavior. this paper proposes an approach and a vision to automatically model the permissions necessary for Android apps from users’ perspective and enable fine-grained permission controls by users, thus facilitating users in making more well-informed and flexible permission decisions for different app functionalities, which in turn improve the security and data privacy of the App and enforce apps to reduce permission misuses. Our proposed approach works in mainly two stages. First, it looks for discrepancies between the permission uses perceivable by users and the permissions actually used by apps via program analysis techniques. Second, it runs prediction algorithms using machine learning techniques to catch the discrepancies in permission usage and thereby alert the user for action about data violation. We have evaluated preliminary implementations of our approach and achieved promising fine-grained permission control accuracy. In addition to the benefits of users’ privacy protection, we envision that wider adoption of the approach may also enforce better privacy-aware design by responsible bodies such as app developers, governments, and enterprises.

关键词： automated permission control UI perception machine learning Android application analysis Android permissions

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Computer Algorithm Optimization of BIM and Reinforcement Learning in Complex Building Structure Construction Process Optimization under Big data Environment

Computer Algorithm Optimization of BIM and Reinforcement Lea...

引用

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

作者： Li, Yuan Zhang, Yifei China Nuclear Power Engineering Co. Ltd. Beijing100840 China China Nuclear Power Engineering Co. Ltd. HeBei Branch Hebei Shijiazhuang050000 China

In the big data environment, the combination of Building Information Modeling (BIM) and reinforcement learning provides new ideas for optimizing the construction process of complex building structures. the current construction is facing problems such as unreasonable resource allocation, poor process connection, and low construction efficiency, which urgently require effective optimization methods. this article aims to use BIM technology to establish a digital model of the construction process, while introducing reinforcement learning algorithms to achieve intelligent optimization of the construction process. the article first establishes a detailed building model and construction process dataset through BIM technology;secondly, the article designs a reinforcement learning environment, defines state, action, and reward functions, and uses the Deep Q-Network (DQN) algorithm for training;next, the article simulates different construction strategies and adjusts the construction process in real time to improve efficiency. the experimental results show that the optimized construction process has improved construction efficiency by 25% compared to traditional methods, increased resource utilization by 15%, and reduced costs by 20%. the combination of BIM and reinforcement learning provides an effective solution for optimizing the construction process of complex building structures, with broad application prospects. © 2025 the Authors. Published by Elsevier B.V.

关键词： Building Information Model

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Analysis on NSAWReminder Based on Big data Technology 3

Analysis on NSAWReminder Based on Big Data Technology

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3rd International conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

作者： Jin, Ziheng 5th Business Division Nanjing Research Institute of Electronic Engineering Jiangsu Nanjing China

ISBN: (纸本)9781450385046

NSAWS is an intelligent and real-time large database management system. By analyzing the user identity data and access rights contained in the collected information, the NSAWS finds out the potential risks and issues an alarm notice in a timely manner. this paper mainly studies how to strengthen the prevention of network attacks in BD environment from the following aspects. this paper first introduces the common technology on the Internet in our country and its application status;secondly, it expounds the architecture, deployment mode and operation mode of the large database system based on the basic security facilities such as cloud computing platform and firewall. then the traditional NSAWS is analyzed and the simulation platform is tested. the results show that the platform has high accuracy and stability in alerting network security hazards and can effectively protect network security. © 2021 acm.

关键词： Network security

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Blockchain for Storing Shadow data of IoT Devices 22

Blockchain for Storing Shadow Data of IoT Devices

引用

proceedings of the 2022 5th International conference on Blockchain Technology and applications

作者： Luwei Bao Gehao Lu School of Information Science and Engineering Yunnan University China

ISBN: (纸本)9781450397575

the demand for secure storage of shadow service data of Internet of things devices makes the traditional centralized platform storage method unable to ensure the security and credibility of key data. this paper analyzes that the main security risks faced by the shadow data storage of Internet of things devices are the lack of credibility guarantee mechanism and the lack of secure encryption and decryption combined with verifiable methods. A series of advantages of block chain technology can solve the above problems. By combining the key technologies such as blockchain structure, encryption algorithm, consensus mechanism and so on, the DeviceShadow-BlockChain mechanism of Internet of things is proposed. An adaptive RAFT consensus algorithm is designed, which is suitable for reaching consensus quickly. In addition, asymmetric encryption technology combined with hash algorithm is used to ensure the security and unusurability of data transmission. In the application layer of the DeviceShadow-BlockChain of the Internet of things, the data chain management platform is used to realize the functions of device shadow data winding, fast consensus, distributed certificate storage and so on.

关键词： Blockchain Device shadow IoT

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Demo Abstract: Distributed, Scalable, and Transparent data Management Framework for Energy Market: A Blockchain Approach 5

Demo Abstract: Distributed, Scalable, and Transparent Data M...

引用

5th IEEE/acm International conference on Internet-of-things Design and Implementation (acm/IEEE IoTDI)

作者： Suankaewmanee, Kongrath Sin, Ng Pei Niyato, Dusit Nanyang Technol Univ Energy Res Inst NTU Singapore Singapore

ISBN: (数字)9781728166025

ISBN: (纸本)9781728166025

Increasing a participation of distributed energy resources exposes the market to possible double counting of generated renewable electricity. It could also slow down financial settlement between multiple parties with heterogeneous generation capacities. A dynamic and transparent energy market, that also guarantees security, privacy, and integrity of data and transactions, - is required for smart grids.

关键词： Distributed databases Sensors data privacy Smart meters data collection Machine learning

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Hiding data by Combining AES Cryptography with Coverless Image Steganography Using DCGAN: A Review 5

Hiding Data by Combining AES Cryptography with Coverless Ima...

引用

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

作者： Sowjanya Cherukupalli, N.L. Katneni, Vedavathi GITAM Institute of Science Department of Computer Science A.P Visakhapatnam India

ISBN: (纸本)9781665435246

the image processing application is very powerful in current technology to provide robust security. In traditional image steganography, the message is embedded in an image with a modification called a cover image. the coverless steganography is used to conceal the hidden message without changing the cover image. To generate stego pictures, deep Coevolutionary Generative Adversary Networks are used. Cryptography is the method of protecting information by encryption and decryption. AES is an iterative method for cryptography. It's based on the 'replacement-permutation network.' It has a set of interconnected processes that replace inputs for specified outputs and rearrange bits called permutations. In this research work, the secret message undergoes encryption by AES. the encrypted message is hidden in the cover image developed using DCGAN. By combining cryptography and steganography, one cannot reveal the secret message. One can achieve payload and high quality of stego images. In this paper, different Stenographic and cryptographic models are reviewed and identify demerits of conventional models, finally suggesting a good security application for future generations. © 2021 IEEE.

关键词： Cryptography

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application of Personnel Safety Management System in Network security Guarantee 22

Application of Personnel Safety Management System in Network...

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

作者： Guofang Wu Guoliang Dong Shuquan Xu Research Institute of Highway Ministry of Transport China

ISBN: (纸本)9781450396806

the rapid development of cloud protection technology provides high-quality security protection barriers for the security of websites deployed on the Internet from a technical level. After the website administrators patch the relevant vulnerabilities in time, the occurrence of network security accidents can be greatly reduced at the technical level. However, cyber attackers take advantage of the negligence of the website's personnel management to launch attacks on the website, resulting in frequent network security incidents such as account theft, web page tampering, website downtime, and core data theft. As a major part of network security management, the formulation and implementation of personnel management systems are crucial to the security of websites. this paper summarizes the experience of network security management and security over the years, puts forward the requirements and methods of personnel management in network security security, and strengthens the management requirements of human factors in the network security system. these measures have played an effective role in network security assurance.

关键词： Cloud computer room Permissions Network security Personnel management security administrator security awareness

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A Literature Review of data-Driven Multimodal Learning Analytics in Education Based on Citespace 22

A Literature Review of Data-Driven Multimodal Learning Analy...

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proceedings of the 2022 5th International conference on Education Technology Management

作者： Jia Hong Deng Yiming Zhao Yunnan Normal University China

ISBN: (纸本)9781450398015

Multimodal learning analysis offers the possibility to comprehensively study students' learning processes, promote effective learning and explain teaching patterns in complex environments. In this paper, Citespace software is used to review the literature related to multimodal learning analysis techniques in education in WoS database and CNKI. the start of research in this field and the research intensity can be shown by the distribution of the time of publication of the literature. the domestic research situation, the research situation in each country and its influence can be shown by analyzing the country and institutional distribution of the literature. And the analysis of the co-occurrence of keywords shows the hot research content in this field. After the econometric and qualitative analysis of the literature, this paper discusses the future research trends of multimodal learning analytics in education, mainly including: taking students' personalized learning and emotional experience as the value orientation, carrying out in-depth empirical research on multimodal fusion analytics on the basis of protecting students' data and privacy security, and promoting the construction of intelligent learning service system.

关键词： Multimodal data Multimodal learning analysis Keyword co-occurrence analysis

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