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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431-440 订阅

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Clustering of Network Traffic: A Comparative Study 5

Clustering of Network Traffic: A Comparative Study

引用

5th International conference on Contemporary Computing and Informatics, IC3I 2022

作者： Sharma, Khushboo Kumar, Arvind Vivekananda Global University Department of Electrical Engineering Jaipur India Chandigarh Engineering College Department of Mechanical Engineering Jhanjeri India

ISBN: (纸本)9798350398267

For network security applications, accurate network traffic categorization is essential. Due to the prevalence of programmes that use energetic ports and encryption to evade detection, there are certain drawbacks to earlier approaches like port numbering and payload-based classification. Utilizing machine learning (ML) methods is an alternative strategy. Here, we'll discuss three clustering methods based on application flow statistics: K-Means, FarthestFirst, and Canopy. Our discussion will focus heavily on the effect the data set processed by the PCA dimension reduction technique has on the performance of the three methods mentioned above. Our findings demonstrate that following dimension reduction, both classification accuracy and computing performance all significantly improved. © 2022 IEEE.

关键词： Network security

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A dynamic cache placement policy for NDN based on programmable data plane 5

A dynamic cache placement policy for NDN based on programmab...

引用

5th International conference on Computer Information Science and application Technology, CISAT 2022

作者： Zha, Yuli Cui, Pengshuai Hu, Yuxiang Lan, Julong Information Engineering University No.62 Science Avenue Zhongyuan District Henan Zhengzhou450000 China

ISBN: (纸本)9781510660076

To address the problems of low cache hit ratio and high routing hops to obtain content in Named data Networking (NDN), this paper proposes a Cache placement Policy based on Dynamic Popularity (DPCP). When the requested content arrives at the routing node, the latest popularity is calculated by combining the number of requests in current cycle and the popularity of the previous cycle, and the caching threshold is dynamically adjusted according to the occupancy of caching space, only content with popularity exceeding the current threshold is cached, thereby retaining the content with the highest probability of being requested in future time periods. this cache placement policy is also implemented using Programming Protocol-independent Packet Processors (P4) deployed on programmable data plane. Experimental results show that the proposed algorithm can effectively improve the cache hit ratio and reduce the average routing hops compared with the traditional caching policy. © 2022 SPIE.

关键词： Network architectures Space operations Device simulation Information architecture Local area networks Network security Switches Tolerancing Algorithm development Computer programming languages

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Research on Business Consistency Verification Techniques for Energy Big data privacy Protection

Research on Business Consistency Verification Techniques for...

引用

International conference on Computer Engineering and applications (ICCEA)

作者： Xiuli Huang Pengfei Yu Yujia Zhai State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD Nanjing China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

In this paper, we study the consistency verification technology for multi-party collaborative privacy-preserving operations of energy big data, and propose a consistency assessment algorithm based on minimum hash signatures for the privacy and consistency challenges in energy big data processing. the algorithm realizes the assessment of the consistency of the target dataset through data compression and signature design of the data source, avoids direct access to the original data, and guarantees data privacy and consistency of processing results. the experimental results show that the algorithm is able to effectively assess data consistency on energy big datasets such as electricity and gas consumption, and the results are close to the exact algorithm with high credibility and efficiency.

关键词： data privacy Soft sensors Electricity data compression Collaboration Big data Reliability engineering

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privacy-Preserving Oriented Design for Multi-Modality Models using FL

Privacy-Preserving Oriented Design for Multi-Modality Models...

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IEEE International conference on Trust, privacy and security in Intelligent Systems and applications (TPS-ISA)

作者： Mohammed Alduniawi Kemal Akkaya Ruimin Sun Knight Foundation School of Computing and Information Sciences Florida International University Miami United States

Mobile apps increasingly use federated learning for the convenience of training, user privacy preservation, and ease to regulation compliance. Recent models consider multi- modality, including text, image, and audio, for its better understanding of complex data and potential to improve data availability and model performance. However, multi-modality also brings security challenges to protect user sensitive information. Sensitive information may leak to unauthorized channels through inter process communication and runtime memory extraction. When devices interact with the cloud in federated learning, other malicious clients (or devices) may pollute models or reveal membership information. this paper aims to prevent the above attacks by proposing a privacy- preserving architecture design, called MuIMPC, for ML models using multi-modality input in FL. MulMPC includes reverse engineering techniques for mobile apps, homomorphic encryption for modality fusion, and multi-party computations for privacy preserving in FL. MuIMPC's design is generic and is promising in applying to different application domains.

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Ring Learning with Error-Based Encryption Scheme for the privacy of Electronic Health Records Management 5

Ring Learning with Error-Based Encryption Scheme for the Pri...

引用

5th International conference on Information Technology for Education and Development, ITED 2022

作者： Abdulkadir, Umar Waziri, Victor Onomza Alhassan, John Kolo Ismaila, Idris Federal University of Technology Minna Nigeria

ISBN: (纸本)9781509064229

the electronic health (e-health) systems support a range of electronic devices, wireless links, transmission and storage of data. E-health systems allows communication through a gateway (or central point) in the cloud. Health professionals and teams utilize e-health systems to perform virtual consultations to patients, remote treatment or diagnosis. the success story of e-health systems is often met with problems including: insecure channels of communication, eavesdropping of messages across channels by adversary, profound insider attacks on private information on servers, and healthcare services disruptions. Cryptography or encryption algorithms have been considered as capable of overcoming the privacy and security problems of electronic medical records management. However, certain issues persist with cryptographic-based schemes such as slow processing speed, weak security mechanisms, high computational overheads, and weak public-private keys. In this paper, a lattice-based cryptography, Ring Learning With Error (RLWE) encryption is used to propose a privacy scheme for EMR in cloud environment. the choice of RLWE is due to its provable hardness among conventional lattice problem. the outcomes revealed that, the proposed encryption scheme outperformed comparable asymmetric schemes in terms of elapsed time (0.04sec) against ECDSA (1.11sec), ECC (16.62sec), and RSA (37.95sec). Again, the public key size was better for RLWE (32-bits) only after ECDSA (10-bits), against ECC (97-bits), and RSA (191-bits). Similarly, the private key size for ECC (9-bits) was only better than RLWE(10-bits), against ECDSA (58-bits), and RSA (687-bits) respectively. the proposed encryption scheme is time and memory-efficient;and holds promise for EMRs privacy. © 2022 IEEE.

关键词： Diagnosis

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privacy computing technology in the context of energy Internet

Privacy computing technology in the context of energy Intern...

引用

International conference on Communications, Information System and Computer Engineering (CISCE)

作者： Yue Gong Cuiyun Chen Zhiyu Liu The First Research Institute of the Ministry of Public Security of P.R.C Beijing China

the power system and other energy systems are constantly cross-integrated, and a new development direction of multi-subject collaboration is gradually formed. Starting from the typical mode of energy Internet collaborative optimization, this paper puts forward a preliminary technical scheme for energy Internet collaborative optimization considering privacy protection. Aiming at the scenario without a third party, this paper proposes a secure multi-party interactive computing scheme based on the principle of secret sharing, and analyzes the specific characteristics of the scheme when applied to a small number of subject scenarios based on the fully distributed application architecture. Finally, from the aspects of data privacy and computing security, the proposed scheme protects the rights and interests of data owners, reduces the risk of data leakage in energy Internet collaborative optimization computing, and realizes reliable privacy protection.

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

Proceedings - 2022 5th International Conference on Computati...

引用

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

ISBN: (纸本)9781665472241

the proceedings contain 95 papers. the topics discussed include: identification of diseases in cassava leaves using convolutional neural network;nutrition monitoring and health awareness system based on crowd sourced food images using transfer learning;risk detection of stroke using classifier algorithms;model for predicting cardiac health using deep learning classifier;automated detection of diabetic retinopathy: a comprehensive study;a review on security schemes for electronic health records;comparison of pre-processing and feature extraction techniques for Alzheimer detection using MRI images;a big data analytics framework for analyzing global tourism trends of Indians using social media analytics;credit card fraud detection using advanced machine learning techniques;deep learning techniques for object detection in images: exploratory study;analysis and development of e-commerce web application;plant disease identification using plant images;an implemented review for intent creation using different clustering techniques;and a systematic analysis and capturing of complete and latent fingerprints.

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privacy-Preserving Swarm Learning Based on Lightweight Homomorphic Encryption and Blockchain Technology

Privacy-Preserving Swarm Learning Based on Lightweight Homom...

引用

IEEE Eurasia conference on IOT, Communication and Engineering (ECICE)

作者： Yong Li Haichao Ling Xianglin Ren Chun Yu Tongtong Liu School of Computer Science Changchun University of Technology Changchun China Non-commissioned Officer School of Army Academy of Armored Forces Changchun China

A decentralized solution called swarm learning integrates blockchain into machine learning with distributed data sources and computing power. the security of blockchain is inherited and the security and privacy of data is enhanced surpassing federated learning. Previous studies have explored the application of homomorphic encryption to privacy protection in distributed machine learning. However, existing homomorphic encryption algorithms require a large amount of computation, making them unsuitable for swarm learning. To solve this problem, we improved a privacy-preserving swarm learning framework based on an improved lightweight Paillier homomorphic encryption algorithm. We evaluated the performance of the improved algorithm under the federated learning environment and the security and the swarm environment. Experiment results showed that under the MNIST data set, the encryption time of the classical homomorphic encryption algorithm was 2.9 times longer than that of the improved algorithm. the improved algorithm improved the encryption efficiency of the homomorphic encryption algorithm and protected the privacy of swarm learning data.

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An Analysis of Different Cryptocraphy Techniques and the Role of Coding and Information theories in Overcoming security threats 5

An Analysis of Different Cryptocraphy Techniques and the Rol...

引用

5th International conference on Contemporary Computing and Informatics, IC3I 2022

作者： Shakeel, Mohammed Sirisha, A. Joshi, Ankita Ushasree, R. Vaishnavi, M. Verma, Devvret Invertis University Faculty of Computer Applications Rajau Paraspur Uttar Pradesh Bareilly India Department of Information Technology Andra Pradesh Visakhapatnam India Uttaranchal University Uttarakhand Dehradun India Dayananda Sagar Academy of Technology & Management VTU Department of MCA India CSE Bannari Amman Institute of Technology Tamil Nadu Erode India Graphic Era Deemed to Be University Department of Biotechnology Uttarakhand Dehradun India

ISBN: (纸本)9798350398267

In order to maintain the privacy and secrecy of information, security is essential. there are numerous encryption techniques available to safeguard data while it is being transmitted or stored. Communication security benefits greatly from encryption algorithms. these encryption strategies vary with regards to their solidarity, snappiness, and asset needs (CPU use, memory, and power). this study's goal is to list the most famous and fascinating calculations as of now being used and to present the ideas of cryptography, cryptography in history, and modern cryptography. this investigation focused on a number of existing cryptography calculations, including DES, IDEA, 3DES, AES, ECC, RSA, homomorphic and blowfish, among others. It was determined that the RSA algorithm takes the longest amount of time to encrypt data, whereas the AES approach uses the fewest text files. We also demonstrated that the AES algorithm decryption is superior to other methods. According to the analytical findings, the AES algorithm is superior to the DES and RSA algorithms. this study recommended further developing a consolidate encipherment calculation, which joins different encipherment calculations in light of every single relevant trademark, to expand the general wellbeing and security of encipherment strategies. © 2022 IEEE.

关键词： Cryptography

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Enabling data Interoperability for Decentralized, Smart, and Connected Health applications 23

Enabling Data Interoperability for Decentralized, Smart, and...

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proceedings of the 8th acm/IEEE International conference on Connected Health: applications, Systems and Engineering Technologies

作者： Oshani Seneviratne Rensselaer Polytechnic Institute Troy NY USA

ISBN: (纸本)9798400701023

the digitization of healthcare is increasing, providing a wealth of data that can improve patient care and outcomes. However, different systems and formats often silo this data, presenting a significant challenge to achieving a connected and interoperable healthcare ecosystem. data interoperability is crucial for realizing the full potential of smart and connected health, which can improve patient outcomes and reduce costs. In this paper, we describe the key concepts and technologies enabling interoperability, including health information exchange, interoperability standards, and application programming interfaces enabling connected health applications built on blockchains. We also discuss the challenges and barriers to achieving data interoperability, such as privacy and security concerns, organizational and cultural barriers, and technical limitations. Furthermore, we highlight the benefits of data interoperability in healthcare, such as better patient outcomes, improved population health management, reduced costs, and increased efficiency. Finally, we discuss the potential future of data interoperability in healthcare, including the role of emerging privacy-preserving technologies.

关键词： interoperability

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