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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441-450 订阅

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Balancing Innovation and privacy: data security Strategies in Natural Language Processing applications

Balancing Innovation and Privacy: Data Security Strategies i...

引用

Machine Learning and Computer application (ICMLCA), International conference on

作者： Shaobo Liu Guiran Liu Binrong Zhu Yuanshuai Luo Linxiao Wu Rui Wang University of Southern California Los Angeles USA San Francisco State University San Francisco USA Southwest Jiaotong University Chengdu China Columbia University New York USA Carnegie Mellon University Pittsburgh USA

ISBN: (数字)9798331530334

ISBN: (纸本)9798331530341

this research addresses privacy protection in Natural Language Processing (NLP) by introducing a novel algorithm based on differential privacy, aimed at safeguarding user data in common applications such as chatbots, sentiment analysis, and machine translation. With the widespread application of NLP technology, the security and privacy protection of user data have become important issues that need to be solved urgently. this paper proposes a new privacy protection algorithm designed to effectively prevent the leakage of user sensitive information. By introducing a differential privacy mechanism, our model ensures the accuracy and reliability of data analysis results while adding random noise. this method not only reduces the risk caused by data leakage but also achieves effective processing of data while protecting user privacy. Compared to traditional privacy methods like data anonymization and homomorphic encryption, our approach offers significant advantages in terms of computational efficiency and scalability while maintaining high accuracy in data analysis. the proposed algorithm's efficacy is demonstrated through performance metrics such as accuracy (0.89), precision (0.85), and recall (0.88), outperforming other methods in balancing privacy and utility. As privacy protection regulations become increasingly stringent, enterprises and developers must take effective measures to deal with privacy risks. Our research provides an important reference for the application of privacy protection technology in the field of NLP, emphasizing the need to achieve a balance between technological innovation and user privacy. In the future, with the continuous advancement of technology, privacy protection will become a core element of data-driven applications and promote the healthy development of the entire industry.

关键词： privacy Technological innovation Differential privacy Analytical models data analysis Accuracy Natural language processing data models Reliability Protection

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Based on Inner Product Function Encryption Secure Cross-Modal Retrieval

Based on Inner Product Function Encryption Secure Cross-Moda...

引用

Machine Learning and Computer application (ICMLCA), International conference on

作者： Jiaoling Chen Wanxi Yan Wenyu Qin Zishun Ni School of Mathematics and Statistics Fuzhou University Fuzhou Fujian Province China

ISBN: (数字)9798331530334

ISBN: (纸本)9798331530341

As big data rapidly advances, the importance of cross-modal retrieval systems that protect user privacy becomes increasingly significant. Current common secure cross-modal retrieval methods primarily achieve privacy protection by designing feasible encryption schemes and constructing secure public mapping subspaces. However, these schemes often require a large amount of plaintext data for training by third parties, which can easily lead to the leakage of data owners' privacy. To address these security issues, this paper proposes a secure cross-modal retrieval model based on inner product function encryption (SCMR-IPE), which enables similarity measurement between encrypted multimodal data while effectively safeguarding data privacy. Additionally, it introduces a self-organizing mapping network and performs secure unsupervised clustering of high-dimensional feature vectors, thereby significantly reducing computational overhead. Finally, experimental results demonstrate that the proposal not only ensures user privacy but also provides efficient and reliable retrieval services, thereby exhibiting high practical application value.

关键词： Training data privacy privacy Computational modeling data models Vectors Encryption Servers Reliability Protection

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Research on Information security Architecture under the New Generation Marketing System 5

Research on Information Security Architecture under the New ...

引用

5th International conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Yang, Shuang Wang, Haomiao Wang, Tianbo Wang, Zhibin Kang, Naidi State Grid Liaoning Electric Power Co. LTD Liaoning Shenyang110006 China State Grid Liaoning Electric Power Co. LTD. Marketing Service Center. Liaoning Shenyang110168 China

ISBN: (纸本)9781510662520

Under the background of today's era, the development of power grid intelligence is an inevitable trend in the development of power companies. In this process, what the power industry needs to do is to do a good job in the prevention of smart grid information security risks, so as to avoid power companies due to excessive power grid information security risks. bring certain losses. the power marketing system is a vital part of the power system. Starting from the marketing system, combined with the current business situation, we will study the development trend and overall construction plan of the new generation of marketing business application systems, and further study the security architecture of the system. From the perspective of multi-faceted security management and control, to implement the relevant national and company-related personal information protection requirements, and to improve the information security of the new generation of marketing systems has become an urgent problem to be solved. © 2023 SPIE.

关键词： security of data

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A Lightweight security Technique for Processing Large data Over a Distributed Cloud Environment 23

A Lightweight Security Technique for Processing Large Data O...

引用

proceedings of the 5th International conference on Information Management & Machine Intelligence

作者： Vivek Saxena Shiladitya Bhattacharjee Deepika Saxena computer science engineering PIET Jaipur India School of Computer Science UPES Dehradun India Poornima University Jaipur India

ISBN: (纸本)9798400709418

It is never easy to guarantee data security when processing on a distributed cloud platform. data integrity and privacy are the two most crucial issues in any cloud-based data processing system. Various errors and security breaches during the processing and transfer of data might compromise data integrity and privacy. the criticality increases with the magnitude of the supplied data. Numerous studies have been conducted to find an integrated solution to these problems. Nevertheless, there is currently no workable approach to address any of these problems in a combinatorial manner in the literature. Consequently, to address these problems, this research effort presents a novel, lightweight, and integrated homomorphic encryption method. the proposed method raises degree of unpredictability throughout the encryption to sufficiently protect data privacy. Additionally, it has a special Method for error identification and correction to improve data integrity. the research outcomes justify its superiority over other similar existing techniques in the literature.

关键词： Entropy value and avalanche effect

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Secure Android Location Tracking application with privacy Enhanced Technique 5

Secure Android Location Tracking Application with Privacy En...

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5th International conference on Computational Intelligence and Communication Technologies, CCICT 2022

作者： Dhinakaran, D. Rajesh Khanna, M. Panimalar, S.P. Anish, P. Pradeep Kumar, S. Sudharson, K. Velammal Institute of Technology Department of Information Technology Chennai India Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Information Technology Chennai India Saveetha Engineering College Department of Information Technology Chennai India R.M.K College of Engineering and Technology Department of Cse Chennai India Saveetha School of Engineering Simats Department of Computer Science and Engineering Chennai India

ISBN: (数字)9781665472241

ISBN: (纸本)9781665472241

In today's world, tracking the position of an Android device has become a must. there have been a slew of effective retrieval strategies, such as Google's Find My Device, but they fall short in some situations, such as when the phone does not have a Gmail account and does not have GPS or Internet access. To address the limitations of existing solutions, our suggested SALT-Secure Android Location Tracker system gathers location based on mobile device in the meantime without such individual's consent. the location permissions are set in the Android Manifest file, which transmits location data to the Firebase cloud per 10 seconds. Even if the participant's android device's sim card is swapped once it has been stolen or lost, or the GPS is turned off, the user may see the exact location of a device. Because it stores geolocation in the Firebase cloud, the suggested solution is secured and much more vulnerable to security assaults. To the Firebase cloud, all data transit is in JSON format. In future work, we'll concentrate on integrating the functionality in the Android OS build so that the program is not erased when the phone is factory reset. © 2022 IEEE.

关键词： Location

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Research of Identity privacy-preserving Scheme Based on CP-ABE 21

Research of Identity Privacy-preserving Scheme Based on CP-A...

引用

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

作者： Yu, Yang Department of Information Engineering Engineering University of PAP Xi'an Shaanxi China

ISBN: (纸本)9781450384322

data security and access control is one of the most challenging ongoing research work in cloud computing, because of users outsourcing their sensitive data to cloud providers. According to cloud computing privacy protection, an identity privacy-preserving scheme based on CP-ABE is proposed. It reduced the performance overhead, overcome untrustful three sides. Its frame is based on trusted third party. By analyzing its security, it indicates that the scheme can not only insure the access control of different users, but also can protect user's identity privacy. © 2021 acm.

关键词： Access control

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Linking Biometric Voice Identity with Self-monitoring Health data as a Temporal-spatial Event Stored in a Mobile Device 7th

Linking Biometric Voice Identity with Self-monitoring Health...

引用

7th International conference on Information Systems security and privacy (ICISSP)

作者： Sy, Bon City U NY Grad Ctr 365 5th Ave New York NY 11361 USA City U NY Queens Coll 65-30 Kissena Blvd Queens NY 11367 USA SIPPA Solut 42-06A Bell Blvd Queens NY 11361 USA

ISBN: (纸本)9789897584916

the goal of this research is to investigate a biometric solution that links biometric personal identity to selfmonitoring data, with time and location information, as a temporal-spatial event in a personal health record stored in a mobile device. the proposed biometric solution is based on a secure computation technology that reconstructs a cryptographic key for (un)locking personal health record in real time when a verification sample is sufficiently similar to the enrollment sample - whereas the verification process is based on a secure twoparty security computation that compares the enrollment and verification samples without either party sharing the data with each other, nor relying on a trusted third party. the contribution of this research is to demonstrate the practical feasibility of the approach in a resource constrained mobile computing environment. the significance of this research is its potential application for enabling a safe bubble space for social interaction among individuals who have self-monitoring data showing lack of Covid-19 symptoms at a specific time and location.

关键词： Biometric Authentication Self-health Monitoring Secure Computation in Mobile Devices

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CCIOT 2022 - 2022 7th International conference on Cloud Computing and Internet of things

CCIOT 2022 - 2022 7th International Conference on Cloud Comp...

引用

7th International conference on Cloud Computing and Internet of things, CCIOT 2022

ISBN: (纸本)9781450396738

the proceedings contain 11 papers. the topics discussed include: fast multi-label tumor classification based on homomorphic encryption;SecMesh: an efficient information security method for stream processing in edge-fog-cloud;a network-elastic scalable blockchain for privacy-preserving federated learning in cloud-edge collaboration industrial Internet of things;SSL VPN over TCP and UDP tunnels: performance evaluation with different server-side congestion control;research on improved DV-hop algorithm based on multiple communication radius and hop distance correction;decentralized smart city of things: a blockchain tokenization-enabled architecture for digitization and authentication of assets in smart cities;software development and design of a cybersecurity system based on big data analysis technology;and research on blended teaching mode under the background of ‘Internet Plus’: application based on chaoxing learning pass platform.

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A software-defined security middle platform architecture 22

A software-defined security middle platform architecture

引用

5th International conference on Computer Science and Software Engineering, CSSE 2022

作者： Qiu, Rixuan Qin, Yongtai Li, Yuancheng Zhou, Xin Fu, Junfeng Li, Wei Yan, Juan Shi, Jie State Grid Jiangxi Information & Telecommunication Company China School of Control and Computer Engineering North China Electric Power University China State Grid Jiangxi Electric Power Company Yingtan Power Supply Branch China Co. Ltd. China

ISBN: (纸本)9781450397780

In recent years, with the increase in the variety of communication devices, as well as the rapid development of the Internet of things, edge computing, and machine learning, the existing security solutions can neither solve the problem of increasing fragmentation of security needs and security scenarios, nor the problem of the mismatch between security protection means and business scenarios, so the new software-defined security middle platform architecture is proposed. the infrastructure plane is connected to the architecture through network function virtualization. the security middle platform has the advantages of both the data middle platform and the business middle platform is designed to solve the fragmentation problem. Hybrid cloud environment is designed according to the cost, expansion, and security requirements. the Control plane solves the matching problem for the middle platform resource pool through flexible and intelligent scheduling. the small forward platform design of the application plane further reduces the development cost. © 2022 acm.

关键词： Network function virtualization

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EPV-PBFT: PBFT Improved Consensus Algorithm for Sensor Networks 5

EPV-PBFT: PBFT Improved Consensus Algorithm for Sensor Netwo...

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5th International conference on Applied Machine Learning, ICAML 2023

作者： Guo, Shangkun Yao, Zhongyuan Zhang, Yong Wang, Chao Guo, Xiaohan Si, Xueming Research Institute of Frontier Information Technology Zhongyuan University of Technology Zhengzhou450007 China Henan Key Laboratory of Network Cryptography Technology Zhengzhou450007 China Henan International Joint Laboratory of Blockchain and Data Sharing Zhengzhou450007 China

ISBN: (纸本)9798350341416

the decentralization and non-tampering characteristics of blockchain technology provide new ideas for solving the security and scalability problems in sensor networks. However, there are still some obstacles to the application of blockchain to sensor networks, sensor nodes usually have low power consumption, low computing power, low communication overhead and low storage capacity, but the existing blockchain consensus mechanism often requires nodes to have high computing power and communication capabilities, so proposing a blockchain consensus mechanism adapted to sensor nodes is one of the key problems to solve the integration of blockchain and sensor network. In order to reduce the computing and communication overhead of the blockchain consensus mechanism and improve the applicability of blockchain in the sensor network, this paper proposes a PBFT consensus optimization algorithm based on node state evaluation and voting mechanism, EPV-PBFT (Energy Pledge Voting-based Practical Byzantine Fault Tolerance). Based on the oracle super-linear staking mechanism and node residual energy state evaluation model, the algorithm performs malicious node screening and consensus node level authority division, so as to improve the node evil cost and communication efficiency. Further combine the verifiable mechanism and voting mechanism to improve the fault tolerance of the algorithm and reduce the communication overhead. Experimental data show that compared with the classical PBFT algorithm, the consensus optimization algorithm proposed in this paper can reduce the average overhead of 43.25% in terms of communication energy consumption, have shorter consensus delay and higher throughput, and can effectively support the management of blockchain network by sensor nodes. © 2023 IEEE.

关键词： Blockchain

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