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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221-230 订阅

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SecureChainAI: Integrating Blockchain and Artificial Intelligence for Enhanced security in IoT Environments 5

SecureChainAI: Integrating Blockchain and Artificial Intelli...

引用

5th International conference on Smart Electronics and Communication, ICOSEC 2024

作者： thamaraiselvi, K. Pushpalatha, A. Chidambarathanu, K. Wankhede, Jaishri P. Alagumuthukrishnan, S. Sarveshwaran, Velliangiri New Horizon College of Engineering Department of Information Science and Engineering Bangalore India Karpagam College of Engineering Department of Computer Science and Design Coimbatore India R.M.K. Engineering College Department of Computer Science and Business Systems Kavaraipettai India Cmr Institute of Technology Department of Computer Science and Engineering Hyderabad India Srm Institute of Science and Technology Department of Computational Intelligence Kattankulathur India

ISBN: (纸本)9798331504403

Internet of things (IoT) systems develop with paramount importance for security in view of the increased deployment of IoT devices over critical sectors like healthcare, industry automation, and smart cities. the risk exposure of such systems is extremely high to potent cyber threats, including those that may result in data integrity and privacy issues and operational unreliability. security in IoT systems has thus emerged through heterogeneous integration with blockchain and artificial intelligence models. this blockchain technology provides a decentralized, immutable ledger for secure data transactions. AI models, especially those designed by anomaly detection and prediction algorithms, can identify and mitigate cyber threats. In this paper, the authors propose the SecureChainAI model that synergistically integrates artificial intelligence algorithms with blockchain to safeguard IoT environments. the two core building blocks that will make this proposed model real are CaSNet and the EchoChain algorithm. the CaSNet model integrates LSTM, RNN, and GRU techniques with novelty detection for proficient attack prediction and detection using their peculiar capabilities in sequential data handling and the identification of novel attack patterns. the EchoChain algorithm puts blockchain technology into the IoT infrastructure to provide security in communication and integrity of the values. this makes the architecture lightweight, shifting computational loads to the collector node, and hence suitable for IoT devices with low computational resources. Evaluations of the performance necessary to detect different classes of cyberattacks using SecureChainAI have improved on the detection accuracy, precision, recall, f1-score, and reduced error rates. © 2024 IEEE.

关键词： Network intrusion

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Distributed Artificial Intelligence application in Agri-food Supply Chains 4.0 5

Distributed Artificial Intelligence Application in Agri-food...

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5th International conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Sharifmousavi, Mahdi Kayvanfar, Vahid Baldacci, Roberto Univ Tehran Dept Governance Tehran *** Iran Qatar Fdn Hamad Bin Khalifa Univ Div Engn Management & Decis Sci Coll Sci & Engn Doha 34110 Qatar

Supply Chain 4.0 is characterized by various factors, including seamless integration and connectivity, the Internet of things (IoT), Big data, AI participation, Cyber-Physical Systems (CPSs), flexibility, adaptability, and customer-centricity across different parts of the supply chain. the application of Distributed AI (DAI) systems like Multi-Agent Systems (MAS) opens new horizons to enhance the efficiency, responsiveness, and intelligence of these supply chains. DAI facilitates advanced autonomous decision-making and real-time optimization at different stages of the agri-food supply chain, such as demand forecasting, inventory management, production planning, logistics optimization, and quality assurance and control. this article, by focusing on the case of scheduling through the entire supply chain, examines how DAI initiatives, including Multi-Agent Systems (MASs) enhanced with Case-Based Reasoning (CBR), enable the distribution of intelligence across smart, interconnected elements of the supply chain network. It is shown that through the use of DAI in SCM, the performance of the entire supply chain optimizes consistently and adaptively through the use of MAS, in which different parts of SCM collaborate as agents. Supply Chain 4.0 can gain autonomy, self-organization, self-optimization, self-adaptation, robustness, and flexibility, and its knowledge base can be enriched over time by using CBR to learn from past situations. It also discusses the opportunities and challenges associated with the adoption of DAI in Supply Chain 4.0, including operational efficiency, cost reduction, agility enhancement, and improved customer satisfaction. However, several concerns, such as data security, privacy issues, and interoperability, must be addressed. (c) 2023 the Authors. Published by ELSEVIER B.V.

关键词： Supply chain 4.0 Distributed Artificial Intelligence (DAI) Multi-Agent Systems (MASs) Agri-food supply chain Case Based Reasoning (CBR)

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Network security and Cryptography: A Qualitative Exploration and Recent Advancements 5

Network Security and Cryptography: A Qualitative Exploration...

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5th IEEE International conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Ekta Singh, Ajit Bhagat Phool Singh Mahila Vishwavidyalaya India Bhagat Phool Singh Mahila Vishwavidyalaya Dept. Of Cse India

ISBN: (纸本)9798350330861

Network security and cryptography as a concept deal with network and data protection. data security involves transmission of data securely even over an unreliable network whereas network security involves hardening of the network and thus preventing any unauthorized access. Both public and private networks come under the purview of network security. With increasing penetration of internet, e-commerce and social networking application and others IOT devices, a large amount of data is being generated every instant. Many countries have made 'Right to be forgotten' a fundamental right for their citizens the prominent example being GDPR of the European Union. thus importance of data security has escalated in this modern digital world. In this paper, an attempt has been made to provide a lucid analysis of various terms and technologies involved in state of the art broad range network security and cryptography algorithms. Internet receives a special attention to apprise users with basic security measures. © 2023 IEEE.

关键词： Network security

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

5th EAI International Conference on Multimedia Technology an...

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

ISBN: (纸本)9783031505768

the proceedings contain 121 papers. the special focus in this conference is on Multimedia Technology and Enhanced Learning. the topics include: security Awareness Method of Opportunistic Network Routing Protocol Based on Deep Learning and Knowledge Graph;research on Pedestrian Intrusion Detection Method in Coal Mine Based on Deep Learning;personalized Recommendation Method of College Art Education Resources Based on Deep Learning;global Planning Method of Village Public Space Based on Deep Neural Network;a Multi Stage data Attack Traceability Method Based on Convolutional Neural Network for Industrial Internet;machine Learning Based Method for Mining Anomaly Features of Network Multi Source data;data Anti-jamming Method for Ad Hoc Networks Based on Machine Learning Algorithm;a data Fusion Method of Information Teaching Feedback Based on Heuristic Firefly Algorithm;research on Pain Information Management System Based on Deep Learning;research on database Language Query Method Based on Cloud Computing Platform;reliability Evaluation Method of Intelligent Transportation System Based on Deep Learning;forecasting Method of Power Consumption Information for Power Users Based on Cloud Computing;power Consumption Behavior Analysis Method Based on Improved Clustering Algorithm of Big data Technology;anomaly Detection of Big data Based on Improved Fast Density Peak Clustering Algorithm;data privacy Access Control Method Based on Ciphertext Policy Attribute-Based Encryption Algorithm;Evaluation Method of Enterprise Circular Economy Development Level Based on AHP Fuzzy Inference;research on Performance Evaluation of Industrial Economic Management Based on Improved Machine Learning;application of Big data Processing Technology in Power Consumption Information Acquisition.

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

5th EAI International Conference on Multimedia Technology an...

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

ISBN: (纸本)9783031505799

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

5th EAI International Conference on Multimedia Technology an...

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

ISBN: (纸本)9783031505706

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

5th EAI International Conference on Multimedia Technology an...

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5th EAI International conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023

ISBN: (纸本)9783031505737

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Mobile application for Visualizing the Measurements 5

Mobile Application for Visualizing the Measurements

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5th IEEE International conference on Modern Electrical and Energy System, MEES 2023

作者： Kiresova, Simona Guzan, Milan Sobota, Branislav Melnykov, Viacheslav Yatsiuk, Rostyslav Peryvertailo, Bohdan Technical University of Košice Dept. of Theoretical and Industrial Electrical Engineering Košice Slovakia Technical University of Košice Dept. of Computers and Informatics Košice Slovakia Kremenchuk Mykhailo Ostrohradskyi National University Dept. of Systems of Automatic Control and Electric Drive Kremenchuk Ukraine National University Dept. of Computer Engineering and Electronics Kremenchuk Mykhailo Ostrohradskyi Kremenchuk Ukraine

ISBN: (纸本)9798350359787

this paper deals with the design of an Android mobile application and visualization of the measured values of particulate matter and meteorological factors from the measurement stations. the application can in principle be effectively used in any field of data visualization. the architecture of the mobile application, the security, the use of AWS services to access the data in the InfluxDB databases, as well as the user interface and graphical visualizations of the measured data are described and illustrated. the application is user tested and the paper documents their first experiences using the mobile application. © 2023 IEEE.

关键词： Visualization

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5th International conference on HCI for Cybersecurity, privacy and Trust, HCI-CPT 2023, held as part of the 25th International conference on Human-Computer Interaction, HCII 2023

5th International Conference on HCI for Cybersecurity, Priva...

引用

5th International conference on HCI for Cybersecurity, privacy and Trust, HCI-CPT 2023, held as part of the 25th International conference on Human-Computer Interaction, HCII 2023

ISBN: (纸本)9783031358210

the proceedings contain 44 papers. the special focus in this conference is on HCI for Cybersecurity, privacy and Trust. the topics include: Usable Implementation of data Sovereignty in Digital Ecosystems;research on the Capability Maturity Model of data security in the Era of Digital Transformation;data Guardians’ Behaviors and Challenges While Caring for Others’ Personal data;a privacy-Orientated Distributed data Storage Model for Smart Homes;a Question Answering Tool for Website privacy Policy Comprehension;perception of privacy and Willingness to Share Personal data in the Smart Factory;multi-ledger Coordinating Mechanism by Smart Contract for Individual-Initiated Trustworthy data Sharing;privacy Awareness Among Users of Digital Healthcare Services in Saudi Arabia;threat Actors and Methods of Attack to Social Robots in Public Spaces;supporting Small and Medium-Sized Enterprises in Using privacy Enhancing Technologies;overcoming privacy-Related Challenges for Game Developers;Cybersecurity Compliance Requirements for USA Department of Defense Contractors - Dragons at the Gate;behavioral Biometrics Authentication in Critical Infrastructure Using Siamese Neural Networks;trust and Blame in Self-driving Cars Following a Successful Cyber Attack;I Just Want to Help: SMEs Engaging with Cybersecurity Technology;Business Continuity Planning (BCP) for Election Systems;cybersecurity as Part of Mission Assurance;investigating Mobile Instant Messaging Phishing: A Study into User Awareness and Preventive Measures;look Before You Leap! Perceptions and Attitudes Towards Inferences in Wearable Fitness Trackers;user Motivations of Secure Web Browsing;working for Home – privacy and Confidentiality Issues in University Education;parents, Passwords, and Parenting: How Parents think about Passwords and are Involved in their Children’s Password Practices;Overcoming the UX Challenges Faced by FIDO Credentials in the Consumer Space.

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Verifiable Credentials with privacy-Preserving Tamper-Evident Revocation Mechanism 5

Verifiable Credentials with Privacy-Preserving Tamper-Eviden...

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5th International conference on Blockchain Computing and applications, BCCA 2023

作者： Xu, Li Li, Tianyu Erkin, Zekeriya Delft University of Technology Cyber Security Group Delft Netherlands

ISBN: (纸本)9798350339239

Verifiable Credential (VC) is a new standard proposed by the W3C association to facilitate the expression and verification of third-party-verified credentials on the Internet, such as passports or diplomas. However, the current VC data model lacks an explicit revocation design that guarantees the secure operations of the system, which limits its application. In this paper, we specify the requirements for a tamper-evident and privacy-preserving revocation mechanism, based on which we compare existing solutions and propose our revocation mechanism that satisfies all the requirements. Our design combines a cryptographic accumulator and a role-based blockchain. With zero-knowledge proof, the verifier can operate off-chain computation of the revocation status while ensuring the correctness of revocation information published on the blockchain. Our analysis shows that the proposed revocation mechanism can prevent fraud using forged and revoked credentials and relieve privacy concerns caused by the correlation of digital data. Our proof-of-concept implementation demonstrates that our revocation mechanism adds only 42.86 ms overhead in the presentation and 31.36 ms overhead in the verification of verifiable credentials. We also provide scalability analysis, which illustrates that the throughput of our blockchain can meet real-world needs. © 2023 IEEE.

关键词： Blockchain

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