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检索条件"任意字段=2023 International Conference on Algorithms, Computing and Data Processing, ACDP 2023"

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A Survey on data Security using Reversible Cellular Automata

A Survey on Data Security using Reversible Cellular Automata

引用

2023 international conference on Computer Communication and Informatics, ICCCI 2023

作者： Degala, Divya Priya Athithan, Senthil Chinnasamy, P. KL University Department of Computer Science and Engineering Vijayawada India MLR Institute of Technology Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9798350348217

Now a days, without network and advanced computer technologies we can't able to transfer data among users. Among this the security is the biggest issue with the CPS system. The major issue is figuring out how to increase these systems' security while still doing it effectively. In order to overcome the issues this survey proposes several techniques for providing security of cyber-physical systems using reversible computing and cellular automata. A Cyber-Physical System(CPS) is an intelligent system used for data storing, transferring and protecting. To protect data, many machine(ml) and deep learning(dl) algorithms have been designed, which require more computation, dissipating more *** solve this, we are offering an public key encryption using reversible cellular automata to enhance the security of data in Cyber-Physical Systems © 2023 IEEE.

关键词： Cyber Physical System

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Congestion-aware Optimal data rate Selection for Efficient Routing in Wireless Rechargeable Sensor Network 3

Congestion-aware Optimal Data rate Selection for Efficient R...

引用

3rd international conference on Advances in computing, Communication, Embedded and Secure Systems, ACCESS 2023

作者： Susan T, Siron Anita Nithya, B. Ameen, Abdulla Rajkumar, Sarvesh National Institute of Technology Computer Science and Engineering Tiruchirappalli India

ISBN: (纸本)9798350346169

Wireless Rechargeable Sensor Nodes (WRSNs) are widely used to sense, collect, and process data or signals transmitted among people, the environment, and computer systems. However, it faces severe threats such as congestion, resource deprivation, security risk, limited communication speed, high cost, limited bandwidth, and so on. To address some of these issues and to improve the QoS, this paper proposes an Adaptive Rate Determined Congestion Management (ARDCM) approach. It adopts a feedback-based system in which the incoming data rate is managed to increase when congestion is low and decrease when congestion is high. It guarantees congestion free data flow between upstream and downstream in data communication by controlling the data rate and buffer occupancy. The proposed approach is simulated on NS2 with varying numbers of active nodes in a simulated environment. The proposed model's performance is evaluated by comparing the Packet Delivery Ratio(PDR), Packet Loss Ratio(PLR), delay, and throughput to the existing algorithms. © 2023 IEEE.

关键词： Sensor nodes

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Efficient Dictionary and Grid-Based Framework for Answering Durable k-Nearest Neighbor Queries on Time Series data

Efficient Dictionary and Grid-Based Framework for Answering ...

引用

Asia-Pacific-Signal-and-Information-processing-Association Annual Summit and conference (APSIPA ASC)

作者： Santoso, Bagus Jati Armunanta, Dwi Prasetya Pratomo, Baskoro Adi Studiawan, Hudan Inst Teknol Sepuluh Nopember Dept Informat Surabaya Indonesia

ISBN: (纸本)9798350300673

With the massive amount of data generated, a data engineering method is needed to process the data to obtain new information, which can later be used for further understanding and business decisions. One of the data processing methods is the k-nearest neighbor (k-NN) query. The k-NN queries aim to identify k-objects with the shortest distance based on object references over the network. However, a critical limitation of the k-NN query lies in its inability to process a query when an object has proximity durability to a reference object at a particular time interval. This limitation arises since the k-NN query does not consider the durability and time interval variables in its calculation algorithm. This article discusses the problem of time interval-based durable k-NN queries on time series data by introducing the algorithmic framework and employing dictionary and grid data structure to process these queries. The proposed algorithm, which is a dictionary and grid-based durable k-NN queries method, incorporates parallel computing techniques to efficiently search for a collection of k objects that exhibit durability in their proximity to a reference object within a predefined time interval. The effectiveness and efficiency of the devised algorithms were assessed through extensive testing using both real-world and synthetic datasets.

关键词： continuous k-NN queries multidimensional time series grid data engineering data banks

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A Security Verification System Based on Bilinear Maps in the Multi-cloud Environment 4

A Security Verification System Based on Bilinear Maps in the...

引用

2023 4th international conference on Computer Engineering and Intelligent Control, ICCEIC 2023

作者： Yue, Ruiqing Yang, Guangcan Li, Peixuan Xie, Jiaqi Jiao, Feipeng Zhan, Ling North China University of Technology School of Information Science and Technology Beijing China

ISBN: (纸本)9798350308877

As cloud computing continues to grow, an increasing amount of sensitive data is migrated to the cloud for storage and processing. However, sensitive data is usually stored in a single cloud environment, which poses several risks such as data leakage and a single point of failure. To address the above issues, a security verification system based on bilinear maps in the multi-cloud environment (i.e. SVS-BM) is proposed. In the paper, bilinear mapping technology is used to ensure the integrity and authenticity of user data during transmission and processing in the multi-cloud. Moreover, trusted middleware connects the terminal to multiple cloud service providers, which ensures efficient management and security verification of user data by segmenting and merging user data. Experimental results and performance analysis show that the system can effectively guarantee user data integrity and security in the multi-cloud environment. © 2023 IEEE.

关键词： Sensitive data

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Weather Report Analysis Prediction using Machine Learning and data Analytics Techniques

Weather Report Analysis Prediction using Machine Learning an...

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2023 international conference on data Science, Agents and Artificial Intelligence, ICDSAAI 2023

作者： Nagaraj, P. Prabhu, M. Chaithanya Venkata Sai Kumar, B. Yasaswitha, Ch. Mohana, K. Jahnavi, C. Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar Krishnankoil India

ISBN: (纸本)9798350348910

Accurate and dependable forecasts are necessary for weather prediction, which is essential to many industries and everyday activities. This paper investigates the use of gradient-boosting algorithms in weather report analysis and prediction by utilizing the capabilities of data science approaches. The gradient boosting model is trained using features that include temperature, humidity, wind speed, and atmospheric pressure, all of which are derived from historical weather data. Since atmospheric conditions are chaotic, it is difficult to make precise predictions in this environment. Nevertheless, gradient-boosting algorithms are quite good at identifying complex relationships in the data. The key phases of this process - data collection, preprocessing, and feature engineering - are highlighted in this paper. The paper provides a thorough approach to developing algorithms with an emphasis on algorithm selection, hyperparameter adjustment, and thorough assessment. strong forecasting models. Additionally discussed are the function of ensemble methods and model generalization, emphasizing the need for constant upkeep and monitoring to ensure peak performance. The results highlight how gradient-boosting algorithms might improve the precision of weather forecasts. Additionally, the incorporation of data science techniques demonstrates a methodical approach to deriving significant insights from intricate meteorological data. This research adds to a better knowledge of how to combine cutting-edge machine learning algorithms and domain expertise to address the complexities of weather report processing and prediction, as weather-related difficulties continue to arise. © 2023 IEEE.

关键词： Decision trees

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Research on Cloud Security Power Grid Model Simulation System Based on Computer Big data Technology 3

Research on Cloud Security Power Grid Model Simulation Syste...

引用

2023 IEEE 3rd international conference on data Science and Computer Application, ICDSCA 2023

作者： Xi, Wang Ming, Chen Shuang, Yang Dingwen, Zhang Yibin, Zhao Conghui, Xing China of Limited Company of Jilin Province Power Communication Company Changchun130021 China State Grid Jilin Electric Power Company Limited Changchun130021 China State Grid Info-Telecom Greate Power Science and Technology Co. Ltd Fuzhou350003 China

ISBN: (纸本)9798350341546

In this paper, a model of active distribution network safety monitoring system based on big data mining platform is established. This model combines multiple detection techniques and uses three-stage detection methods in the analysis equipment engine. A fuzzy encryption processing model of power flow information is proposed, which can improve the computing efficiency of static security analysis of power system under cloud computing environment on the premise of ensuring power flow information security. Through the simulation analysis of the fault diagnosis example, the results show that the proposed fault diagnosis algorithm is fast, accurate and effective. © 2023 IEEE.

关键词： Big data Cloud Security Computer Power Grid Model Simulation System

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Design of Enterprise Innovation System based on data Mining 2

Design of Enterprise Innovation System based on Data Mining

引用

2nd international conference on data Analytics, computing and Artificial Intelligence, ICDACAI 2023

作者： Hu, Mengsi Guangdong University of Science and Technology College of Finance and Economics Dongguan523083 China

ISBN: (纸本)9798350339765

The enterprise innovation system is the main content of the intelligent development system, but in the process of enterprise innovation system management, due to the complexity of market diversification, the enterprise innovation system will have an impact, and the rationality of the enterprise innovation system will be reduced. The data mining technology to analyze the enterprise innovation system, improve the development level of the enterprise innovation system, and shorten the time for enterprise innovation information processing. Then, a comprehensive innovation of the enterprise innovation data is performed. Finally, the enterprise innovation system is carried out using continuous monitoring and the final decision-making results are output. The results show that the data mining technology can accurately analyze the enterprise innovation system, improve the level of the enterprise innovation system, and the rationality is greater than 95%, which is better than the traditional collection method. Therefore, data mining technology has met this requirement and can be applied to the development and analysis of enterprise innovation system © 2023 IEEE.

关键词： data mining

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Cloud data Security using Balanced Genetic Algorithm 9

Cloud Data Security using Balanced Genetic Algorithm

引用

9th international conference on Electrical Energy Systems (ICEES)

作者： Prasad, Rajeev Ranjan Kumari, Ankita Ericsson Global India Ltd Res & Dev Gurgaon India Ericsson Global India Ltd Res & Dev Bangalore Karnataka India

ISBN: (纸本)9798350348033

In computer science, data plays a vital role in accessing the core architecture of any product. Nowadays, cloud computing has emerged as a new paradigm to store data and services. It provides a computational architecture where users can send their data and performs any operation on it. with the growing demands of the cloud, it has become a major area of concern as it contains sensitive data. data protection and maintaining the integrity of data are the key issues in the cloud due to its capability to store information at different geo-locations. The data security model of the cloud needs special attention as new threats and vulnerabilities are getting introduced day by day. The available standard encryption algorithms that provide data security, have their own limitations and must be addressed at any cost. We are proposing a methodology called the Balanced Genetic Algorithm (BGA) to address the underlined problem statement of data security in the cloud. The idea is to balance the existing genetic algorithm to provide scalability, enhance security, and decouple the data life cycle from the core encryption terminology. With our experimental result, we have shown that the proposed idea has better performance than the current standard encryption techniques.

关键词： Cloud computing data Security data Privacy Balanced Genetic Algorithm

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Computer Network Security Detection Method Based on Virtual Operation 5

Computer Network Security Detection Method Based on Virtual ...

引用

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

作者： Zhang, Yanbin Liu, Dan Su, Yang Guangzhou Customs Technology Center Guangzhou China China Electronic Port Data Center Guangzhou Branch Guangzhou China

ISBN: (纸本)9798350325010

This paper provides a network security service establishment method and system based on virtualization technology, including: obtaining computing node sets and host devices;Determine the link bandwidth according to the host equipment;The computing resource model is established according to the set of computing nodes and host devices;The computing resource model is used to deploy the service function chain to establish network security services. The method presented in this paper makes use of the characteristics of rapid deployment of container borne network functions, and proposes some dynamic function deployment methods. On the basis of the idea of integer programming optimization problem modeling, the overall problem is decomposed into independent subproblems, the scale of the optimization problem is reasonably limited, and the fast deployment of containers is utilized to ensure that the response time of service requests is low, while retaining the performance advantages of optimization algorithms over simple methods to some extent. © 2023 IEEE.

关键词： Containers

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data-Driven Decisions: Exploring the Impact of data Mining in Healthcare 6

Data-Driven Decisions: Exploring the Impact of Data Mining i...

引用

6th international conference on computing and Big data, ICCBD 2023

作者： Wang, Jin Cornely, Pierre-Richard Valdosta State University Department of Applied Mathematics and Physics ValdostaGA31698 United States College of Science and Mathematics Valdosta State University ValdostaGA31698 United States

ISBN: (纸本)9798350317008

In the healthcare sector, data mining stands as a crucial tool for analyzing vast patient datasets to unearth significant revelations. This manuscript provides a comprehensive exploration of data mining's contributions to healthcare, spanning from pandemic research, treatment efficacy assessment, predictive modeling, insurance fraud detection, medical device optimization, to streamlined hospital management. It delves into various data mining techniques such as clustering, classification, statistical analysis, unsupervised pattern recognition, and web-based data scrutiny, emphasizing their relevance in healthcare contexts. algorithms like the Naïve Bayes Classifier and K-means clustering are underscored for their prevalent use in health-related scenarios. The treatise wraps up by shedding light on the emerging trajectories for healthcare data mining and pinpointing exciting avenues for impending inquiries. © 2023 IEEE.

关键词： data Analytics in Healthcare data Classification data Clustering Forecasting Models Fraud Prevention in Healthcare Insurance Healthcare Administration Internet-Based data Mining Medical Equipment Pandemic Research Patient Management Quantitative Analysis Treatment Efficacy Unsupervised Learning

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