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Research on Intelligent Scheduling Algorithm Based on Cloud computing 15

Research on Intelligent Scheduling Algorithm Based on Cloud ...

引用

15th international conference on Computer Research and Development, ICCRD 2023

作者： Yan, Xiaofeng Zhao, Jie Han, Jianchao Chongqing Medical and Pharmaceutical College Chongqing China

ISBN: (纸本)9781665487504

With the rapid development of the information age, computer technology and network technology are more and more mature, and the application of internet technology is more and more extensive. On the basis of the gradual development and maturity of distributed computing, parallel computing and grid computing, cloud computing based on big data came into being. the core idea of cloud computing is to connect a large number of computing resources, storage resources and service resources through the network to form a resource pool, and then conduct unified scheduling and management of resources according to user needs. this paper mainly studies the resource scheduling method based on neural network and genetic algorithm to dynamically provide data centric computing service system for users, and maximize the reliability, customization and security of the services provided. © 2023 IEEE.

关键词： Genetic algorithms

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Intent-Driven distributed Applications Management Over Compute and Network Resources in the computing Continuum 19

Intent-Driven Distributed Applications Management Over Compu...

引用

19th Annual international conference on distributed computing in Smart Systems and the internet of things, DCOSS-IoT 2023

作者： Zafeiropoulos, Anastasios Fotopoulou, Eleni Vassilakis, Constantinos Tzanettis, Ioannis Lombardo, Chiara Carrega, Alesssandro Bruschi, Roberto National Technical University of Athens Institute of Communication and Computer Systems Athens Greece School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Cnit S2N National Laboratory Genoa Italy

ISBN: (纸本)9798350346497

Intent-driven orchestration enables organizations to achieve greater automation, integration, and intelligence of their compute and network resources by defining their objectives and policies in a more abstract and holistic way, while letting the orchestration system handle the coordination, optimization, and adaptation of the resources in response to changing needs and conditions. the trend for the development of intent-driven orchestration mechanisms has been growing in recent years as the deployment of distributed applications in the computing continuum has become more complex and diverse. In this manuscript we detail a novel approach for the management of distributed applications in the computing continuum. A hierarchical decision making scheme is proposed where an entity in a specific level of the hierarchy has the responsibility for the management of the overall application or a part of it, without having the control of all the management actions. the control is distributed across various entities that have to collaborate towards some joint objectives. Both compute and network resources management is considered that may be provided by the same or different infrastructure providers. © 2023 IEEE.

关键词： Decision making

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Cryptography and Adversarial Analysis for Cloud Data Security 5

Cryptography and Adversarial Analysis for Cloud Data Securit...

引用

5th international conference on Innovative Trends in Information technology (ICITIIT)

作者： Manjula, S. Valarmathi, K. Sudha, M. Swarna Ramco Inst Technol Dept Comp Sci & Engn Rajapalayam 626117 Tamil Nadu India PSR Engn Coll Dept Elect & Commun Engn Sivakasi 626140 Tamil Nadu India

ISBN: (纸本)9798350386813;9798350386820

Cloud computing, a novel paradigm for distributed data processing, has emerged as a transformative technology enabling the storage and retrieval of data over the internet. the prevalence of Software-as-a-Service has revolutionized work dynamics, fostering a culture of secure remote access across diverse devices. Within the realm of Cloud Storage, the imperative for effective security and privacy measures is underscored. this research proposes a robust data security framework employing the Cryptography Splitting Algorithm. User files undergo encryption, increasing security levels from 25 to 75 are securely stored with a cloud service provider. the Cloud Manager empowers users by enhancing security, managing tracking mechanisms, and safeguarding metadata, thus fortifying data confidentiality and flexibility in utilization. Leveraging the Cryptography Splitting technique ensures secure data storage, concurrently enhancing both security and privacy for user data. Furthermore, the proposed methodology undergoes rigorous scrutiny in an adversary setup, incorporating neural network analysis to evaluate the resilience of data security measures. this analysis reveals the encryption scheme protects communication by maintaining a low A-B loss around 0.1 while reducing Eve's ability to intercept messages from 0.7 to 0.2. this research contributes a comprehensive approach to securely managing data in the dynamic landscape of cloud computing.

关键词： Cloud computing AES Encryption and Decryption Algorithm Cryptography splitting and merging Technique

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Privacy computing technology in the context of energy internet 5

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

引用

5th international conference on Communications, Information System and Computer Engineering, CISCE 2023

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

ISBN: (纸本)9798350326796

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. © 2023 IEEE.

关键词： Data privacy

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Intelligent DWC Reservation and Trip Planning of CAEV and UAV for 6G ITS 20

Intelligent DWC Reservation and Trip Planning of CAEV and UA...

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20th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Shaikh, Palwasha Waheed Mouftah, Hussein T. Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada

ISBN: (纸本)9798350361261;9798350361278

In the 6G era, addressing charging challenges for electric vehicles is paramount. this paper focuses on mitigating concerns for both Connected Autonomous Electric Vehicles (CAEVs) and Unmanned Aerial Vehicles (UAVs). CAEV users face range anxiety, while UAV operators contend with limited battery sizes. the paper introduces a dynamic wireless charging (DWC) reservation and trip planning system, powered by 6G, vital for future smart cities. It provides a literature review on CAEV and UAV charge scheduling, proposing a novel system design tailored for 6G-enabled Intelligent Transportation Systems (ITS), where UAVs serve CAEVs. Notably, for vehicle-to-vehicle DWC and communication, laser technology is utilized, ensuring reliability and efficiency. A dynamic arrival handling protocol addresses unpredictable vehicle arrivals. Simulation results showcase the system's efficiency, optimizing charging and reducing wait times. With the impending 6G era, the paper aims to advance charging infrastructure for intelligent, flexible, and harmonized electric vehicle charging operations.

关键词： Connected Autonomous Electric Vehicle Unmanned Aerial Vehicle CAEV and UAV Charging Dynamic Wireless Charging Intelligent Transportation System internet of things 6G

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Exploring Robust DDoS Detection: A Machine Learning Analysis with the CICDDoS2019 Dataset 5

Exploring Robust DDoS Detection: A Machine Learning Analysis...

引用

5th IEEE India Council international Subsections conference, INDISCON 2024

作者： Saluja, Kamal Bagchi, Susama Solanki, Vikas Khan, Muhammad Numan Ali Dhamija, Esha Debnath, Sanjoy Kumar Chitkara University Institite of Engineering and Technology Chitkara University Punjab India University of Technology and Applied Sciences College of Computing and Information Sciences Shinas Oman

ISBN: (纸本)9798350376753

the ever-present threat posed by distributed Denial of Service attack is highlighted. the significance of building robust cybersecurity measures that are not just inventive but also flexible. the purpose of this study paper is to investigate the effectiveness of an algorithm based on machine learning in detecting distributed denial of service assault to strengthen the resilience of internet infrastructure. Random forest, decision tree, naïve bayes, and KNN are some of the machine learning techniques that are investigated in this study. the dataset used for this investigation is the CICDDoS 2019 data, Moreover, the research broadened its approach to identify the role of Artificial Intelligence in the Cybersecurity Framework. It does this by providing insight into the relative merits of various algorithms. the study, in its essence, highlights the critical role that adaptive and intelligent defense systems play in decreasing the impact of distributed denial of service assaults (DDoS). this provides a foundation for prepared strategies in the constantly shifting world of cybersecurity. © 2024 IEEE.

关键词： Cybersecurity

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Application Research of Vertical Federated Learning technology in Banking Risk Control Model Strategy 21

Application Research of Vertical Federated Learning Technolo...

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21st IEEE international Symposium on Parallel and distributed Processing with Applications, 13th IEEE international conference on Big Data and Cloud computing, 16th IEEE international conference on Social computing and Networking and 13th international conference on Sustainable computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Luo, Yong Lu, Zhi Yin, Xiaofei Lu, Songfeng Weng, Yiting Huazhong University of Science and Technology Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan China China Minsheng Banking Corp. Ltd. Beijing China Shenzhen Huazhong University of Science and Technology Research Institute Wuhan China Shu Lun Pan Beijing China

ISBN: (纸本)9798350329223

this study centers on the application of vertical federated learning technology in the context of internet banking loans, with a particular focus on innovations in data privacy protection, risk control model algorithms, and secure multi-party computation. Currently, banking risk control strategies mainly rely on traditional data processing technologies, which often fall short in protecting user privacy and ensuring data usage efficiency. We adopt vertical federated learning technology, offering an innovative solution for the internet banking loan scenario. Firstly, regarding data privacy protection, we propose a differential privacy mechanism to safeguard user-sensitive data. Secondly, we innovatively apply risk control model algorithms, facilitating collaborative modeling across multiple internet loan platforms through federated learning. Furthermore, we introduce secure multi-party computation technology to ensure the secure transmission of data and confidentiality of computation processes during federated learning. through empirical experiments on real internet loan datasets, we validate the effectiveness and feasibility of our proposed methods. After implementing our risk control model, the credit approval rate increased from 3.44% to 18.2%, with a single-day high reaching 25.53%. the average loan amount increased by 7,700 yuan, and the average interest rate slightly declined by 0.48%, marking a significant improvement and breakthrough compared to traditional risk control models. this study offers innovative solutions for data privacy protection and risk control in the internet loan scenario, providing safer and more reliable services for financial institutions and users. Moreover, our methods possess high practicality and promotional value. the potential widespread impact on the industry is profound. © 2023 IEEE.

关键词： Risk management

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Enhanced DDoS Defense in SDN: Double-Layered Strategy with Blockchain Integration 13

Enhanced DDoS Defense in SDN: Double-Layered Strategy with B...

引用

13th IEEE international conference on Communications, Circuits and Systems (ICCCAS)

作者： Tian, Jialin Shu, Zhaogang Chen, Shuwu Xie, Haihui Liu, Xiaolong Qiu, Caiyu Fujian Agr & Forestry Univ Comp & Informat Coll Fuzhou Peoples R China

ISBN: (纸本)9798350386288;9798350386271

With the development of technologies such as cloud computing, big data, and the internet of things (IoT), Software-Defined Networking (SDN) has emerged as a novel network architecture in today's internet era. It can separate the control plane from the data plane, allowing rapid packet forwarding in the internet through a centralized controller. However, SDN environments are vulnerable to traditional distributed Denial of Service (DDoS) attacks. this paper proposes a new dual layer strategy to try to mitigate the question. First, by using blockchain technology and smart contract in the northbound interface to store the flow tables required for SDN networks, security is increased. then, we use the Token Bucket algorithm and Time Window algorithm to build the first-tier strategy to defend against obvious DDoS attacks. To detect unobvious DDoS attacks, we design the second-tier strategy that uses a composite data feature correlation coefficient calculation method and the Isolation Forest algorithm to perform binary classification on data, thereby identifying abnormal traffic. We use the currently publicly available DDoS dataset CIC-DDoS2019 for experimental verification. the results show that using this strategy in SDN networks results in an average deviation of data Round-Rip Time (RTT) approximately 38.86% lower than in the original SDN networks without this strategy. Additionally, the accuracy of DDoS attack identification reaches 91.29%. this means that with the implementation of this strategy, DDoS attacks can be effectively identified without compromising the stability of data transmission in SDN network environments.

关键词： Software Defined Networks distributed Denial of Service Blockchain Machine learning

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Prototype of Iot-Based Keyless Security System For Motorcycle 6

Prototype of Iot-Based Keyless Security System For Motorcycl...

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6th international conference on Information and Communications technology, ICOIACT 2023

作者： Saputra, Adika Akbar Suryani, Vera Rakhmatsyah, Andrian Telkom University School of Computing Bandung Indonesia

ISBN: (纸本)9798350315639

Today the motorcycle theft cases in Indonesia are in a very high rate and it has been continuing to increase in every year. For this, there is a need for a security system for motorcycle to minimize the risk of motorcycle theft. this study aims to design and create an internet of things (IoT)-based security system for the motorcycle that can be controlled through smartphone purposely to reduce the rate of motorcycle thefts. the system was created using Arduino microcontroller. From the results of the implementation, it produced a device that has a number of features including turning on, turning off, and motorcycle starter using application. Another one is the function of tracking to trace the position of the motorcycle. the third feature is to turn off the function of motorcycle socket and the fourth feature is to control the switch engine of motorcycle. the results of the testing in the parameters of maximum distance of Bluetooth connection, delay proses, test of GPS connectivity and test of voice command, showed that it could create a system that can be used well as an anti-theft device for motorcycle. © 2023 IEEE.

关键词： Smartphones

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Blockchain-based Intrusion Detection Scheme for Cloud-computing 6

Blockchain-based Intrusion Detection Scheme for Cloud-comput...

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2021 6th international conference on Information Science, Computer technology and Transportation, ISCTT 2021

作者： Guo, Wei Xie, Linjiang Hang, Feilu Lv, Yao Luo, Zhenyu Information Center Yunnan Power Grid Co. Ltd. Kunming China

ISBN: (纸本)9783800757282

With the rapid development of cloud computing technology, more and more businesses are based on cloud services. In this context, people should pay more attention to the security issues of cloud computing platform. Because cloud computing has a higher degree of network virtualization, more flexibility and higher scalability, the traditional intrusion detection technology cannot effectively meet the needs of security protection. For the characteristics of cloud computing environment, this paper proposes a blockchain-based collaborative distributed intrusion detection scheme to solve the trust defects of existing distributed systems. Finally achieve the purpose of realizing effective, avoiding single point fault, quality assurance, scalable intrusion detection scheme. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Cloud computing

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