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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"

共 1519 条记录，以下是91-100 订阅

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Research on Medical Image data Sharing Traceability System Based on Blockchain 5

Research on Medical Image Data Sharing Traceability System B...

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5th International conference on Decision Science and Management, ICDSM 2023

作者： Gao, Yulian Lu, Gehao Wang, Zhiyuan Gao, Mingan Yunnan University School of Information Science and Engineering Kunming China

ISBN: (纸本)9798350325010

Because medical image data involves patient privacy, the sharing of medical image data must protect patient privacy and ensure that the data is accurate and not tampered with, and it is a challenge to achieve medical data sharing system that is both shareable and secure for the above reasons. At present, medical image data sharing systems generally face problems such as privacy leakage and lack of effective traceability technology. this paper designs a blockchain-based medical image data sharing and traceability system, which improves the drawbacks of the traditional medical image data sharing system with the help of the technical characteristics of blockchain, such as non-tampering, security and transparency, traceability and decentralization. the system uses the alliance chain to introduce an authentication mechanism, and only authorized nodes can join the network, which limits the scope of data use, which is equivalent to enhancing the security of data. the traceability of blockchain is used to query the source of medical image data and the use and modification records of medical image data in the system to avoid illegal tampering or abuse of data, and effectively improve the security and reliability of the shared traceability system. © 2023 IEEE.

关键词： Smart contract

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Decentralized application using Blockchain 5

Decentralized Application using Blockchain

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5th International conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Kayade, Parth Pardeshi, Aniket Patil, Suyog Raut, Prashant Shetkar, Pranav Barhate, Madhuri Vishwakarma Institute of Technology Department of Artificial Intelligence and Data Science Pune India

ISBN: (纸本)9798350367171

this research work introduces a novel social media platform built on blockchain technology, aiming to address contemporary challenges in privacy, security, and content integrity. Leveraging decentralized ledger technology, the platform ensures transparent and secure data storage, granting users unprecedented control over their personal information. through cryptographic protocols, identity protection is prioritized, reducing vulnerability to data breaches. the proposed system employs smart contracts for content attribution, guaranteeing immutable and authentic user-generated content. Token-based incentives incentivize community participation and amplify content creators' contributions. By emphasizing decentralization and transparency, the developed platform intends to revolutionize the social media landscape, fostering a more resilient, userdriven digital environment. the fusion of blockchain technology and social media heralds a new era, offering a resilient, transparent, and user-centric digital ecosystem for the future. © 2024 IEEE.

关键词： Dapp NodeJS ReactJS Smart Contract Solidity Web3.0

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Re-pseudonymization Strategies for Smart Meter data Are Not Robust to Deep Learning Profiling Attacks 24

Re-pseudonymization Strategies for Smart Meter Data Are Not ...

引用

14th acm conference on data and application security and privacy (acm CODASPY)

作者： Cretu, Ana-Maria Rusu, Miruna de Montjoye, Yves-Alexandre Ecole Polytech Fed Lausanne Lausanne Switzerland Imperial Coll London London England

ISBN: (纸本)9798400704215

Smart meters, devices measuring the electricity and gas consumption of a household, are currently being deployed at a fast rate throughout the world. the data they collect are extremely useful, including in the fight against climate change. However, these data and the information that can be inferred from them are highly sensitive. Re-pseudonymization, i.e., the frequent replacement of random identifiers over time, is widely used to share smart meter data while mitigating the risk of re-identification. We here show how, in spite of re-pseudonymization, households' consumption records can be pieced together with high accuracy in large-scale datasets. More specifically, we propose the first deep learning-based profiling attack against re-pseudonymized smart meter data. Our attack combines neural network embeddings, which are used to extract features from weekly consumption records and are tailored to the smart meter identification task, with a nearest neighbor classifier. We evaluate six neural networks architectures as the embedding model. Our results suggest that the Transformer and CNN-LSTM architectures vastly outperform previous methods as well as other architectures, successfully identifying the correct household 73.4% of the time among 5139 households based on electricity and gas consumption records (54.5% for electricity only). We further show that the features extracted by the embedding model maintain their effectiveness when transferred to a set of users disjoint from the one used to train the model. Finally, we extensively evaluate the robustness of our results. In particular, we show that the accuracy of the attack only slowly decreases with the size of the dataset, how less frequent re-pseudonymization will further increase accuracy, and how an attacker can evaluate the likelihood of a match to be correct. Taken together, our results strongly suggest that even frequent re-pseudonymization strategies can be reversed, strongly limiting their ability to prev

关键词： Smart meter data Re-pseudonymization Profiling attacks Re-identification attacks

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Elliptic Curve Cryptography: Protecting Healthcare data in the Digital Age 5

Elliptic Curve Cryptography: Protecting Healthcare Data in t...

引用

5th International conference on Electronics and Sustainable Communication Systems, ICESC 2024

作者： thenmozhi, M. Sakthimohan, M. Elizabeth Rani, G. Janani, S. Karthigadevi, K. Sanjeevi Kumar, V. Sri Eshwar College of Engineering Department of Aids Tamilnadu Coimbatore India KalaignarKarunanidhi Institute of Technology Department of Ece Tamilnadu Coimbatore India Tamilnadu Coimbatore India KGiSL Institute of Technology Department of Cse Tamilnadu Coimbatore India Kalasalingam Academy of Research and Education Department of Computer Applications Tamilnadu Krishnankoil India KGiSL Institute of Technology Department of Csbs Tamilnadu Coimbatore India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379945

this work focuses on increasing the security of user data in hospital management systems through encryption. the primary goal is to protect patient information and staff records by implementing advanced encryption and access control techniques. Using robust cryptographic algorithms and best practices, this work ensures that sensitive data can only be accessed and decrypted by authorized individuals. the implementation aims to mitigate the risks of data breaches, unauthorized access and data integrity issues and ultimately strengthen data protection and patient privacy in healthcare facilities. this work aims to address key challenges in health information security, including the risk of data breach, unauthorized access and data integrity. By implementing robust encryption measures, the hospital management system will provide patients, medical staff and administrators with a higher level of data protection and privacy. Overall, this research study aims to improve data security, maintain patient confidentiality and ensure compliance with privacy regulations, ultimately increasing the trust and efficiency of healthcare institutions in managing the user data. © 2024 IEEE.

关键词： data integrity

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European 5G security in the Wild: Reality versus Expectations 23

European 5G Security in the Wild: Reality versus Expectation...

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16th acm conference on security and privacy in Wireless and Mobile Networks (acm WiSec)

作者： Lasierra, Oscar Garcia-Aviles, Gines Municio, Esteban Skarmeta, Antonio Costa-Perez, Xavier i2CAT Fdn Barcelona Spain Univ Murcia Murcia Spain ICREA NEC Labs Europe Barcelona Spain

ISBN: (纸本)9781450398596

5G cellular systems are slowly being deployed worldwide delivering the promised unprecedented levels of throughput and latency to hundreds of millions of users. At such scale security is crucial, and consequently, the 5G standard includes a new series of features to improve the security of its predecessors (i.e., 3G and 4G). In this work, we evaluate the actual deployment in practice of the promised 5G security features by analysing current commercial 5G networks from several European operators. By collecting 5G signalling traffic in the wild in several cities in Spain, we i) fact-check which 5G security enhancements are actually implemented in current deployments, ii) provide a rich overview of the implementation status of each 5G security feature in a wide range of 5G commercial networks in Europe and compare it with previous results in China, iii) analyse the implications of optional features not being deployed, and iv) discuss on the still remaining 4G-inherited vulnerabilities. Our results show that in European 5G commercial networks, the deployment of the 5G security features is still on the works. this is well aligned with results previously reported from China [16] and keeps these networks vulnerable to some 4G attacks, during their migration period from 4G to 5G.

关键词： 5G security subscriber anonymity subscriber privacy experimental data collection

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Research on Cloud security Access Control Protocol for Power Marketing Services 5

Research on Cloud Security Access Control Protocol for Power...

引用

5th International conference on Machine Learning and Computer application, ICMLCA 2024

作者： Wang, Yimin Wang, Jianghui Yang, Ziyue Xu, Menghan Zhu, Meng Zhao, Lei Ma, Yulong Lv, Congdong Jiangsu Electric Power co. LTD State Grid Corporation of China Nanjing China Jiangsu Fangtian Electric Power Technology Co. Ltd Nanjing China Nanjing Audit University Nanjing China

ISBN: (纸本)9798331530334

With the acceleration of digital transformation in the power industry, power marketing information systems are increasingly relying on cloud computing platforms for data processing and service delivery. However, this trend also brings new security challenges, especially how to ensure secure access control for sensitive data. Attribute Based Encryption (ABE), as an advanced cryptographic tool, can provide fine-grained access control capabilities for data in cloud environments and has become an effective means of solving this problem. this article aims to study a cloud security access control protocol suitable for the field of power marketing, which utilizes attribute based encryption technology. Our research focuses on designing an efficient and secure access control scheme that can adapt to the characteristics of power marketing business while ensuring data privacy and integrity. © 2024 IEEE.

关键词： Cloud security

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proceedings - 2023 5th IEEE International conference on Trust, privacy and security in Intelligent Systems and applications, TPS-ISA 2023

Proceedings - 2023 5th IEEE International Conference on Trus...

引用

5th IEEE International conference on Trust, privacy and security in Intelligent Systems and applications, TPS-ISA 2023

ISBN: (纸本)9798350323856

the proceedings contain 46 papers. the topics discussed include: mitigating targeted universal adversarial attacks on time series power quality disturbances models;beyond basic trust: envisioning the future of NextGen networked systems and digital signatures;ensuring privacy policy compliance of wearables with IoT regulations;large language model-powered smart contract vulnerability detection: new perspectives;balancing privacy and accuracy in IoT using domain-specific features for time series classification;SOC and academia - building resilient systems;peculiarity and diversity measures to evaluate attribute-based access rules;metamorphic malware evolution: the potential and peril of large language models;and FUBA: federated uncovering of backdoor attacks for heterogeneous data.

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A Novel Intelligent AI with Automated Defense Attack data privacy System Design 5

A Novel Intelligent AI with Automated Defense Attack Data Pr...

引用

5th IEEE International conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： Boggavarapu, Saikrishna Navale, Geeta S. Manikandan, G. Senthamilarasi, N. Lakshminarayana, Kodavali Goyal, Himanshu Rai University of Cumberlands Prospect HeightsIL United States Sinhgad Institute of Technology and Science Department of Computer Engineering Pune41 India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Electronics and Communication Engineering Thandalam India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai119 India Koneru Lakshmaiah Education Foundation Department of CSE Andhrapradesh Vaddeswaram India Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India

ISBN: (纸本)9798350351378

In this study, we introduce a unique Intelligent AI system built specifically for protecting online privacy and sensitive information. To improve online safety, the system employs cutting-edge AI models, automatic defense mechanisms, and data privacy protections. the research shows that the system is reliable for detecting and preventing threats, with particular emphasis on its pinpoint accuracy and low incidence of false alarms. Furthermore, the automatic defence mechanisms significantly mitigate the effects of many forms of assault. Anonymization and encryption are two methods used to protect the privacy of user data. this study provides a sound method for better protecting online privacy and security by conforming to existing theoretical models and frameworks. the information and approaches given equip organizations to boost their security procedures and secure user data in today's changing digital ecosystem. © 2024 IEEE.

关键词： Intrusion detection

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security Techniques in Unmanned Air Traffic Management System 5

Security Techniques in Unmanned Air Traffic Management Syste...

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5th International conference on Smart Systems and Inventive Technology, ICSSIT 2023

作者： Agarwal, Piyush Sharma, Sachin Matta, Priya Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9781665474672

the advancement of aviation technologies in recent years, results in the enhancement of the popularity of Unmanned Air Vehicles (UAV) based applications. UAV systems use the wireless communication medium to communicate with the base or ground station. Wireless communication is vulnerable to different types of attacks, due to which the security and privacy of the data will be at risk. It is important to study the air space system. therefore, this paper consists of the air space management system and the UAV classification, classified by NATO. Followed the parameters required to ensure the security and privacy of the data are discussed. the techniques that guarantee the implementation of the parameters to ensure the security and privacy of the system are discussed at the last with the comparison of different research using the techniques for the security in the UAV-based system. © 2023 IEEE.

关键词： Drones

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Cloud Cryptography in IT Infrastructure: A Comprehensive Review and Future Directions 5

Cloud Cryptography in IT Infrastructure: A Comprehensive Rev...

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5th International conference on Sustainable Communication Networks and application, ICSCNA 2024

作者： Bhute, Pranjal Gahane, Shailesh Kapse, Arya Mohadure, Shraddha Raut, Ekta Khode, Payal Datta Meghe Institute of Higher Education and Research Faculty of Science and Technology Wardha India

ISBN: (纸本)9798331530013

Cloud computing has transformed the IT infrastructure by offering scalable, cost-effective, and on-demand services but brings with it enormous security challenges, mainly in safeguarding sensitive information. Cloud cryptography addresses these issues by using cryptographic techniques such as encryption, digital signatures, and key management for the protection of data confidentiality, integrity, and availability. the traditional approaches to cryptography have managed to function well in on-premise environments but do not perform well in the cloud environment, where concepts of multi-tenancy, distribution systems, and high-performance processing of real-time data create a need for more flexible and scalable solutions. Some of the emerging cryptographic techniques, including homomorphic encryption and quantum cryptography, have gained significant attention but find fewer practical applications in today's cloud infrastructures. this paper represents an overview of comprehensive analyses of the use of cryptographic methods in cloud computing environments with regard to their strengths and limitations. Different key management, performance trade-offs, and regulations such as GDPR and HIPAA are keenly analyzed in this study to identify the most critical gaps in existing cryptographic approaches. the paper thus also proposes future research directions that embrace improvement in scalability, efficiency, and practicality of solutions to make them more apt to meet security needs in dynamic environments of the cloud. this review, therefore, sheds light on the value that advanced cryptography has for the protection of improved cloud security-ensuring better protection and privacy for organizations making use of the services provided by the cloud. © 2024 IEEE.

关键词： Cloud security

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