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An Insight Into Security Issues Prevailing In The cloudified Era 1

An Insight Into Security Issues Prevailing In The Cloudified...

引用

1st IEEE international conference on Advances in computing, communication and Networking, ICAC2N 2024

作者： Nemirajaiah, Naveen Kumar Adalagere Raju, Channa Krishna Sri Siddhartha Academy of Higher Education Department of Computer Science and Engineering Kunigal Road Maralur Karnataka Tumakuru India Sri Siddhartha Institute of Technology Department of Computer Science and Engineering B. H. Road Agalakote Karnataka Tumakuru India

ISBN: (纸本)9798350356816

The term 'cloudified era' refers to concept of computing at remote servers to perform everyday operations which involves data storage, processing and software applications been hosted on remote servers accessed over via internet. This shift to cloud-based infrastructure extends so much profit with respect to scalability, cost-efficiency, enhanced collaboration, and remote accessibility. The cloud services providers implement typical security measures and adhere to stringent compliance standards and certifications, which improve data protection for organizations. However, businesses must still manage respective cloud work setups to address potential risks like data breaches. One major concern is the surge in ransomware and malware attacks aimed at cloud environments. Cybercriminals exploit weaknesses in VM configurations, allowing them to deploy virus that encrypts vital data and demand ransom for decryption. Furthermore, vulnerabilities to hypervisors, presents a critical security challenges as attacks are particularly damaging the core layer of virtualization technology. The rising incidence of hypervisor vulnerabilities demands ongoing vigilance and the adoption of strong security protocols to maintain the integrity and security of cloud environments. This paper examines the associated security challenges and proposes a system that enhances security measures in the current cloud-centric era. © 2024 IEEE.

关键词： cloud security

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Impact of Colour Image and Skeleton Plotting on Sign Language Recognition Using Convolutional Neural Networks (CNN) 14

Impact of Colour Image and Skeleton Plotting on Sign Languag...

引用

14th international conference on cloud computing, Data Science and engineering, Confluence 2024

作者： Singh, Anushka Hashmi, Fahad Eqbal Tyagi, Naman Jayswal, Anant Kumar Amity School of Engineering and Technology Amity University Noida India

ISBN: (纸本)9798350344837

The significance of sign language lies in its role in communicating and expressing the views of the deaf and hard-of-hearing community. In a world where verbal communication is one of the highest regards of communication among each other, sign language serves as a powerful and inclusive means of expression, allowing individuals to connect and converse with other individuals. In this paper, we introduce a Convolutional Neural Network (CNN) based model, using American Sign Language. Users must capture images of the hand gestures, and the model must predict the sign made using the captured image. The paper also defines the difference in model accuracy depending upon the type of preprocessing done on the data. The comparison of the model accuracy based on defiantly preprocessed data is used to achieve an accuracy of about 99% using a colored, skeleton-mapped sign image dataset. © 2024 IEEE.

关键词： Convolutional neural networks

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Leveraging IoT Technology for Disaster Management and Emergency

Leveraging IoT Technology for Disaster Management and Emerge...

引用

2024 international conference on communication, computing and Internet of Things, IC3IoT 2024

作者： Velvizhi, V.A. Anbarasan, M. Gayathri, S. Boomiga, S. Subiksha, S. Sri Sai Ram Engineering College Department Of Electronics And Communication Engineering Chennai India University College Of Engineering Department Of Mechanical Engineering Tamil Nadu Tindivanam India

ISBN: (纸本)9798350352689

In disaster management, one crucial yet often overlooked aspect is the swift exchange of data among information sources, emergency managers, and victims. The challenge lies in the fact that conventional cellular networks and modern communication infrastructure can fail during emergencies, hindering communication. To address this, a long-range radio (LoRa) transceiver module is proposed. This standalone device ensures reliable communication without relying on towers or base stations. Additionally, a voice playback module integrated into the prototype aids in rescue and relief operations. The transmitter, equipped with a GPS module, facilitates victim location tracking. Transmitter data is stored in the cloud, accessible via web initiatives, providing essential information about the victim © 2024 IEEE.

关键词： Global positioning system

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Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybrid Edge-cloud computing

Energy-Optimized Offloading of Delay-Sensitive Tasks in Hybr...

引用

2024 IEEE international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Yuan, Haitao Wang, Shen Ma, Yaofei Bi, Jing Yang, Jinhong Zhang, Jia Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China College of Computer Beijing University of Technology Beijing100124 China Cssc Systems Engineering Research Institute Beijing China Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

Currently, a cloud-edge collaborative system combines almost unlimited storage and computing resources where tasks can be migrated to high-performance servers in edge servers or the cloud. However, resource allocation and task offloading present big challenges due to the competition among mobile devices (MDs) for communication and computing resources of edge servers. Therefore, it is significant to properly offload MDs' tasks to edge servers or the cloud. This work proposes a collaborative edge-cloud architecture, including a centralized cloud, edge servers, and MDs. Then, this work jointly considers computing power, task sizes, computing resources, transmission power of MDs, transmission rates, computing power, transmission power, computing resource of edge servers, and computing resource of the cloud. Considering the abovementioned factors, this work designs a mixed-integer non-linear programming problem. To solve it, a Genetic Simulated annealing-based Particle Swarm Optimization (GSPSO) algorithm is proposed to obtain the best solution. Building upon it, this work proposes an energy-minimized task offloading and resource allocation strategy, thereby minimizing the system's energy consumption while ensuring strict task response time limits. Experimental results show that GSPSO reduces the system's energy by 66.34%, 34.65%, and 4.95% more than particle swarm optimization (PSO), self-adaptive PSO, and Tyrannosaurus optimization. © 2024 IEEE.

关键词： Mobile edge computing

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cloud computing design of intelligent connected vehicles based on regional load 6

Cloud computing design of intelligent connected vehicles bas...

引用

6th international conference on Intelligent computing, communication, and Devices, ICCD 2023

作者： Nan, Ji Qiang, Ding Liangliang, Wang Shaojie, Guo Shilan, Hu Co. Ltd. Tianjin300300 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

This paper attempts to use a software architecture based on observer mode, establish cloud computing data centers by region, register computing resources to the registry, and take the registry as the system coordinator to ensure that all vehicles can always find the best computing resources in the registry. The process is that all cloud computation registers themselves to the register with their connect info and geographical area. All the intelligent connected should get cloud service information from the register and the point of vehicle can estimate the best cloud server. It ensures that all the intelligent connected vehicles can transfer data to best cloud computing data center get best network and computing services. so as to achieve a reasonable allocation of computing resources and ensure the real-time and stability of data processing. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： cloud computing

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Facilitating Secure Information Transfer via cloud with Hybrid Cryptography 5

Facilitating Secure Information Transfer via Cloud with Hybr...

引用

5th international conference on Intelligent communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Rani, Shreenagamanjula Santhosh Krishna, B.V. Uma Maheshwari, A. Triveni, A. Tejaswini, S. New Horizon College of Engineering Dept. of Cse Bengaluru India

ISBN: (纸本)9798350385649

Data security is the primary concern in the cloud, as various organizations are storing their data in cloud environment. This research work focuses on hybrid encryptions and their implementation and analysis on the cloud, for leveraging superior performance, increased algorithm speed, efficacy assessment, and comparison with existing algorithms. This study proposes a novel hybrid algorithm by combining the symmetric (Twofish) and asymmetric (RSA) cryptographic methods. Theoretically, this research study reveals the enhanced security of the proposed hybrid algorithm (Twofish+RSA). Also, this study compares the hybrid AES +RSA approach for developing a balanced and secure solution for enabling data protection in various applications. Meanwhile, the Twofish+RSA hybrid model stands out for its advantages in computation time, ciphertext size, and memory consumption. Proposing a multilevel cryptography-based security solution is prompted by the growing research focus on cloud computing security. Security concerns are prevalent in this technology-driven world, where attackers can easily exploit flaws, particularly in the area of cloud computing. © 2024 IEEE.

关键词： Cryptography

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Secured Steganography: Leveraging Cryptography in a cloud-Based Toolbox 7

Secured Steganography: Leveraging Cryptography in a Cloud-Ba...

引用

7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Reddy, Karukonda Nithin Snehitha, Munaga Sai Reddy, Kamidi Sai Chandana Reddy, K. Dheeraj Rajagopal, Shinu M. Panda, Niharika Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350350067

cloud technology has the power to manage computational efficiency. cloud provides easy access but is also vulnerable to security measures as the internet is open to everyone. Adding cryptography and steganography to the cloud makes it more secure. Steganography, a method for hiding communication has emerged to put data secretly into digital media. The study has steganography tools, text, audio, and video steganography. User-friendly web application is hosted on an AWS server. This platform integrates the efficiency of the cloud with hybrid cryptography along with steganography tools that allow users to use this in sectors where data is sensitive. The Diffie-Hellman algorithm generates a key to keep the information safe, and the AES algorithm is used to encrypt and decrypt the data. In the project by combining cloud technology with security, this project not only addresses the need for data security but also displays the efficiency of the cloud in handling high computational work. © 2024 IEEE.

关键词： cloud platforms

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A Framework on Positioning of Medical Sensors in Healthcare Domain

A Framework on Positioning of Medical Sensors in Healthcare ...

引用

2024 international conference on communication, Computer Sciences and engineering, IC3SE 2024

作者： Rajput, Anuj Singh Prabha, S. Khare, Mayank Deep Tula's Institute Department Of Computer Science And Engineering Dehradun India Department Of Computer Science And Information Technology Bangalore India Noida Institute Of Engineering And Technology Department Of Internet Of Things Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350366846

In the last several years, the incorporation of sensor technology into our everyday routines has resulted in improved comfort, convenience, and overall wellbeing. The size and cost of medical sensors have decreased as a consequence of technical improvements that have improved their use. Medical sensors make 'remote health monitoring, surgical procedures, therapy, and rehabilitation' more efficient and practical. We provide an in-depth historical overview of medical sensors during the last fifty years, emphasising their use in clinical settings. The evaluation also examines the impact of IoT on the advancement of sensor technologies and the uses of such technologies in healthcare. We also examine the benefits and drawbacks of several integrated architectures that have been recently proposed for the smooth integration of different medical sensors with novel paradigms and technologies, including those that are located at the edge, in the cloud, in the middle (mobile cloud computing), and in the sky (fog computing) of the network. We conclude by outlining the next challenges that must be overcome in order to fully actualize the best potential and benefits of medical sensor technologies and, in the end, build a robust, scalable, reliable, and affordable healthcare system. © 2024 IEEE.

关键词： Mobile cloud computing

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A Systematic Literature Review on Dynamic Load Balancing Techniques in cloud computing Environment: Techniques, Challenges, and Future Prospects 2

A Systematic Literature Review on Dynamic Load Balancing Tec...

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Divya, B. Dhas, Anto Sahaya APJ Abdul Kalam Technological University Dept. of Computer Science & Engg. Kerala Thiruvananthapuram695016 India Vimal Jyothi Engineering College Chemperi670632 India Vimal Jyothi Engg. College Dept. of Electronics & Communication Engg. Kerala Chemperi670632 India

ISBN: (纸本)9798331505745

cloud computing is an effective sector that enables institutions and users to buy services based on their requirements. This mechanism provides distinct services including suitable access to web services, platforms for implementation, storage, and so on. In the cloud, load balancing is crucial for achieving optimal usage of resources, minimized response time, and highly advantageous gadget functionality. cloud providers find it hard to divide the workloads between the servers. Among the distinct complexities, the conventional approaches encounter is achieving equilibrium upon complexities with resilience and the cloud structure's unpredictability. A detailed survey on the hybridization of distinct models with cloud computing for improving the overall system functionality and load balancing is presented. This survey explores various models and their applications in high-performance cloud environments, emphasizing the advantages of combining deep learning techniques with cloud computing resources for load balancing. This review provides an analytical evaluation of current strategies that are used for improving the performance of cloud computing and managing load-balancing issues. Along with deep learning techniques, the optimization approaches used for fine-tuning the network parameters to improve the functionality of cloud computing and manage load-balancing are also explored. Various performance metrics used in the prior works to determine the model's efficacy are reviewed in this work. The survey is concluded with a discussion of the existing research gaps and opportunities for future exploration in the field of deep learning-driven cloud load balancing. © 2025 IEEE.

关键词： cloud computing Evaluation Measures Load Balancing Research Gaps and Challenges Simulation Environments Techniques Categorization

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A Comprehensive Survey on Strategies for Enhancing cloud Security and Data Protection 5

A Comprehensive Survey on Strategies for Enhancing Cloud Sec...

引用

5th international conference on Sustainable communication Networks and Application, ICSCNA 2024

作者： Yalla, Swathi Tejah Batra, Isha Malik, Arun Computer Science and Engineering Lovely Professional University Punjab Phagwara India School of Computer Science and Engineering Lovely Professional University Phagwara Punjab India

ISBN: (纸本)9798331530013

In this survey paper, the critical security and privacy issues in cloud computing are taken into consideration, and made use of improving data security measures and confidences concerning sensitive information against potential threats from both outside attackers and cloud providers toward bracing the serious barriers to the widespread adoption of cloud technology. It applies ontological approaches toward an overall security assurance model with the help of ontology-based approaches to facilitate improved data protection along with compliance verification. The key advantages of the new security protocols and methodologies developed under this proposed framework allow customers to maintain control over their information and to validly verify safety measures. This framework will address one of the fastest growing needs for improving data security in the cloud, encouraging further trust and facilitating wider acceptance of cloud services. This survey provides a comprehensive analysis of the current ontologybased security solutions, summarizing their strengths and weaknesses and then advocating for a sophisticated security framework that would guarantee data protection in cloud environments. In fact, previous research has shown that different security risks exist in the cloud computing environment that can originate from various entities and activities. Therefore, different solutions have been created to tackle each of these unique concerns. The virtual machines of the clients should there-fore be effectively monitored and guarded by cloud providers through the use of a standardized cloud security platform. © 2024 IEEE.

关键词： cloud security

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