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

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

引用

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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Proceeding - COMNETSAT 2023: IEEE International conference on Communication, Networks and Satellite

Proceeding - COMNETSAT 2023: IEEE International Conference o...

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12th IEEE International conference on Communication, Networks and Satellite, COMNETSAT 2023

ISBN: (纸本)9798350341102

the proceedings contain 107 papers. the topics discussed include: comparison of three border positioning (TBP) and least square estimation (LSE) algorithm towards indoor positioning system (IPS);classification of topics using Bi-LSTM and CNN with the feature expansion on Twitter;compact smart water meter development for smart city;coronary heart disease prediction through machine learning using non-laboratory risk factors;experimental of rectangular microstrip antenna using parasitic element for DVB-T2 applications;Bengali misogyny identification with deep learning and LIME;design of double circular microstrip antenna for high frequency communication application;enhancing data rate and coverage in private 5G network: a comparative study of 4x4 MIMO and 8x8 MIMO antennas;performance and security analysis of privacy-preserved IoT applications;and mobile payment authentication using QR codes based on combined DCT-DWT digital watermarking scheme.

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Research and analysis of the security risk management strategy of big data technology in the financial industry 23

Research and analysis of the security risk management strate...

引用

proceedings of the 2023 5th International conference on Big data Engineering

作者： Wenjun Ji Maanshan Vocational and Technical college China

ISBN: (纸本)9798400708695

With the continuous deepening of financial business informationization, the rapid spread of all kinds of financial data, promoting the financial field to enter the era of big data, and the structural transformation and dynamic development of the financial industry face new *** the context of big data, the study of financial information security prevention and guarantee system will be conducive to guarantee the storage and application of users' *** paper first analyzes the application and characteristics of big data technology in the financial industry, and then deeply analyzes the risks of the application of big data in the financial industry from the three dimensions of technology, management and compliance, and puts forward the corresponding security risk control strategy.

关键词： big data techology the financial industry the security risk management strategy

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Design for security Configuration of Remote Management MultiVLAN Switch Based on VLAN Trunking Protocol 5

Design for Security Configuration of Remote Management Multi...

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

作者： Long, Zhi Guangzhou College of Applied Science and Technology Zengcheng District Guangzhou511370 China

ISBN: (纸本)9781510660076

As the communication network technology develops, the switch is of special importance in the secure communication configuration. A switch can be connected to the computer directly through the "Console" port and the common port. Especially when the user is in the office or on a business trip, it is necessary to manage the device remotely. At this time, the switch configuration cannot be configured locally, but needs the Telnet or Web browser to achieve the switch configuration. Usually, if multiple VLANs are needed for division, there will be different gateways for each VLAN. In practice, there are many multi-VLAN multi-triple convergence scenarios. Even the intermediate device has a route, if the device is connected by remote management without a route back, the data packet will be in a single-pass state. Although it can be sent out, the path is presented as inaccessible without a route4. the design is based on the Cisco simulator and the combination of VLAN trunking protocol (VTP) technology and VLAN technology of port division with Layer 2 and Layer 3 switches as core devices to achieve unified configuration and management of VLAN and remote password login management mode. Users can access the device management through a highly secure encrypted channel to avoid illegal user intrusion to obtain management resources and harm the network. In turn, it can restrict the remote IP address that allows access to the switch through Telnet and Web and guarantee the security function of network management. © 2022 SPIE.

关键词： Authentication

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Learning to Limit data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of data Minimization 22

Learning to Limit Data Collection via Scaling Laws: A Comput...

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5th acm conference on Fairness, Accountability, and Transparency, FAccT 2022

作者： Shanmugam, Divya Diaz, Fernando Shabanian, Samira Finck, Michele Biega, Asia Massachusetts Institute of Technology CambridgeMA United States Microsoft Research Montreal Canada University of Tuebigen Germany Max Planck Institute for Security and Privacy Bochum Germany

ISBN: (纸本)9781450393522

Modern machine learning systems are increasingly characterized by extensive personal data collection, despite the diminishing returns and increasing societal costs of such practices. Yet, data minimisation is one of the core data protection principles enshrined in the European Union's General data Protection Regulation ('GDPR') and requires that only personal data that is adequate, relevant and limited to what is necessary is processed. However, the principle has seen limited adoption due to the lack of technical interpretation. In this work, we build on literature in machine learning and law to propose FIDO, a Framework for Inhibiting data Overcollection. FIDO learns to limit data collection based on an interpretation of data minimization tied to system performance. Concretely, FIDO provides a data collection stopping criterion by iteratively updating an estimate of the performance curve, or the relationship between dataset size and performance, as data is acquired. FIDO estimates the performance curve via a piecewise power law technique that models distinct phases of an algorithm's performance throughout data collection separately. Empirical experiments show that the framework produces accurate performance curves and data collection stopping criteria across datasets and feature acquisition algorithms. We further demonstrate that many other families of curves systematically overestimate the return on additional data. Results and analysis from our investigation offer deeper insights into the relevant considerations when designing a data minimization framework, including the impacts of active feature acquisition on individual users and the feasability of user-specific data minimization. We conclude with practical recommendations for the implementation of data minimization. © 2022 Owner/Author.

关键词： data acquisition

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data Protection Measures in E-Society: Policy Implications of British data Protection Act to China 2021

Data Protection Measures in E-Society: Policy Implications o...

引用

5th International conference on E-Society, E-Education and E-Technology, ICSET 2021

作者： Guo, Yuanyuan School of Government Beijing Normal University China

ISBN: (纸本)9781450390156

*Big data-related topics are very fashionable in recent years. However, the problems brought by big data are also emerging one after another. For example, the big data society has brought social security, personal privacy, national security interests, secret protection and other issues, and may also threaten the national economy. Typically, the phenomenon of personal privacy information are abused, stolen, fraudulently used, and data transactions are prevalent. Although China has relevant policy documents to protect personal privacy information, it has not yet formed a special legal system, and the policy documents are scattered. Besides, the enforcement and validity of these documents are difficult to guarantee. the British data Protection Act is specific legislation on data protection of personal privacy information. As a pioneer of data protection, the British data Protection Act has been dramatically improved after several revisions. It can effectively protect consumers' privacy information, which is a piece of legislation worth learning in China. © 2021 acm.

关键词： Public policy

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Wireless Sensor Network Using IOT security: Architecture, Challenges and Proposed Model 5

Wireless Sensor Network Using IOT Security: Architecture, Ch...

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

作者： Verma, Abhishek Singh, Akhilesh Chauhan, Anurag Rana, Arun Kumar Galgotias College of Engineering and Technology Dept. of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798350398267

Cloud computing, near-field communication, wireless cellular networks, etc. are only a few of the associated technological advancements that have gained widespread market adoption in relation to the Internet of things. therefore, from an IoT viewpoint, it is crucial to pay attention to its applicability and feasibility features in connection to pertinent security concerns. this paper's goal is to analyse and illustrate how security issues with wireless sensor networks affect the Internet of things and its applications. As a result, this publication offers an overview of the major and secondary security requirements for wireless sensor networks together with a taxonomy of potential threats and attacks against these requirements. Despite recent advancements in WSN technology, the application still confronts major difficulties because these sensors are often put in remote places. the main issues here include risks to network security, network architecture, data collecting and deployment, and network coverage. these five subjects have so been extensively researched in the literature. this paper's major goal is to thoroughly discuss these challenges and proposed model with solution (Contiki Cooja) also discussed in details © 2022 IEEE.

关键词： Wireless sensor networks

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Role-Based Deception in Enterprise Networks 21

Role-Based Deception in Enterprise Networks

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11th acm conference on data and application security and privacy (CODASPY)

作者： Anjum, Iffat Zhu, Mu Polinsky, Isaac Enck, William Reiter, Michael K. Singh, Munindar P. North Carolina State Univ Raleigh NC 27695 USA Duke Univ Durham NC USA

ISBN: (纸本)9781450381437

Historically, enterprise network reconnaissance is an active process, often involving port scanning. However, as routers and switches become more complex, they also become more susceptible to compromise. From this vantage point, an attacker can passively identify high-value hosts such as the workstations of IT administrators, C-suite executives, and. nance personnel. the goal of this paper is to develop a technique to deceive and dissuade such adversaries. We propose HoneyRoles, which uses honey connections to build metaphorical haystacks around the network traffic of client hosts belonging to high-value organizational roles. the honey connections also act as network canaries to signal network compromise, thereby dissuading the adversary from acting on information observed in network flows. We design a prototype implementation of HoneyRoles using an OpenFlow SDN controller and evaluate its security using the PRISM probabilistic model checker. Our performance evaluation shows that HoneyRoles has a small effect on network request completion time, and security analysis demonstrates that once an alert is raised, HoneyRoles can quickly identify the compromised switch with high probability. In doing so, we show that role-based network deception is a promising approach for defending against adversaries in compromised network devices.

关键词： deception software defined network cyber security data plane

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5th International Symposium on Big data and Applied Statistics, ISBDAS 2022

5th International Symposium on Big Data and Applied Statisti...

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2022 5th International Symposium on Big data and Applied Statistics, ISBDAS 2022

the proceedings contain 37 papers. the topics discussed include: research on graph classification based on improved metric learning;technology strategy for meticulous governance of smart cities: memory bus width aware pruning for efficient image super-resolution implementation in FPGA;research on univariate anomaly diagnosis of gas pipeline measurement data based on random forest algorithm;a new black widow algorithm for discontinuous optimization in cloud task environment;development and application of data mining method for synthetic aperture radar image ship inspection based on big data application technology;key technologies of media big data in-depth analysis system based on 5G platform;research on monitoring data security sharing method for hydropower station operation and maintenance;and research on user granularity-level personalized social text generation technology.

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Machine Unlearning Survey 5

Machine Unlearning Survey

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5th International conference on Mechatronics and Computer Technology Engineering, MCTE 2022

作者： Jiang, Yiwen Liu, Shenglong Zhao, Tao Li, Wei Gao, Xianzhou Big Data Center of State Grid Corporation of China Beijing China Zhejiang Xiyou Information Technology Co. Ltd Nanjing China Global Energy Interconnection Research Institute Co. Ltd Nanjing China

ISBN: (纸本)9781510661073

Many online platforms have widely deployed machine learning models as a service. Many of these applications require users to upload their data for model training, but it also induces privacy risks. Once the user wants to leave the application, how to make the application unlearn the uploaded data, which is called machine unlearning, is worthy of study. In this article, we provide a survey of machine unlearning with an approximate and exact guarantee. We summarize the existing machine unlearning approaches and discuss their merits and drawbacks in this field. © 2022 SPIE.

关键词： Learning systems

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