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Aspects to determine the acceptance of cloud service: A study of cloud professionals 14

Aspects to determine the acceptance of cloud service: A stud...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Goyal, Pooja Singh Deora, Sukhvinder Dept. of Computer Sci. & App. Haryana India

ISBN: (纸本)9798350335095

Cloud computing is an essential innovation in communication and information technology. In today's scenario, any business, big or small, can use cloud services because they are scalable, affordable, and flexible. It is beneficial for the growth and benefits of the business. Even though cloud computing is significant, companies have been slow to use it because they are worried about security. the decision to select any cloud service depends on the various service measurement index(SMI). this work employs a multi-theoretical approach to investigate the obstacles to cloud service adoption. A survey-based model highlights the most crucial SMI factors among the users and is tested by more than 500 professional cloud users. the collected data has been analyzed with the IBM SPSS 22 program using multiple regression techniques, a descriptive study, and various significance-level tests. It found the most important parameters, and the performance of cloud services is based on other SMI factors. Also, it adds new SMI parameters to make the evaluation, selection, and ranking of cloud services using a comprehensive model more accurate and precise. © 2023 IEEE.

关键词： Software testing

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Blockchain Facilitated Protection and Safety in Cyberphysical Systems from Defective Sensors 14

Blockchain Facilitated Protection and Safety in Cyberphysica...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Banerjee, Projat Guha, Krishnendu Ibm India Private Limited India School of Computer Science and Information Technology Ireland

ISBN: (纸本)9798350335095

the cyber physical systems (CPS) are linked to a range of sensors, the data from which is used for decision making and real-time operation. With the introduction of Industry 5.0, which enables human-focused processing, protection has become a vital aspect for real-time cyber physical systems, since a flaw in its operation might have disastrous implications. thus the data collected from malfunctioning or malicious nodes might stymie decision-making and jeopardise the overall system environment. As a result, it is critical to assure the system's security and dependability in real time. Furthermore, maintaining track of the data records on which real-time systems operate is critical, since such records will not only help in decision making. Along with, it also aids in the detection of malicious sensor nodes. We propose a blockchain-based security and dependability method to do this. All sensors conform to RAFT consensus in this process, and only transactions accepted by all sensor nodes are kept in the Hyperledger Fabric (HLF) ledger and Vault. this is subsequently delivered to all of the peer nodes that are registered in the private network channel for a certain organisation. this helps discover defective sensor nodes and separate their data, improving system security and dependability. In comparison to the previous study, our technique has a high throughput and low latency in sensor fault mitigation. Additionally, implementing blockchain provides increased security, dependability, and privacy to the sensor cluster and organisational channels. © 2023 IEEE.

关键词： Blockchain

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Dealing with Black-hole Attacks in Inter-vehicle Networks Using the Packet Delivery Rate Algorithm 14

Dealing with Black-hole Attacks in Inter-vehicle Networks Us...

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14th International conference on Information and Knowledge Technology, IKT 2023

作者： Sedighi, Marzieh Hamidkhani, Mehdi Sadeghi, Mostafa Islamic Azad University Dolatabad Branch Department of Computer Engineering Isfahan Iran Branch Department of Electrical Engineering Isfahan Iran Branch Department of Computer Engineering Isfahan Iran

ISBN: (纸本)9798350349412

the VANET is a type of case mobile networks (a decentralized type of wireless networks) which includes moving vehicles as nodes in the network that establishes communication among adjacent vehicles as well as stationary vehicles and equipment which are usually installed along the roads. therefore, reducing network overhead and traffic and increasing the data transmission security as well as the Packet Delivery Rate (PDR) are the most important issues related to VANETs. One of the most important challenges in the inter-vehicle networks is the presence of security attacks such as black-hole attacks in which the malicious node eliminates data packets and reduces the quality of the network. therefore, this paper proposes a method to detect and eliminate the black-hole attacks in three phases. the so called DABHA-VANET in the first phase confirms the new join requests and verifies valid vehicles by checking the previous database and number of the steps. In the second phase, it applies the PDR algorithm to detect malicious nodes of the black-hole and then eliminates these nodes from the network and routing. Finally, the NS-2 simulator is used to compare DABHA-VANET with the PFDSA method. the provided results indicated an acceptable performance of the proposed approach. © 2023 IEEE.

关键词： Stars

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Blockchain Unleashed: Empowering Information-centric Network Computing in Cloud, Fog, and Edge Services 14

Blockchain Unleashed: Empowering Information-centric Network...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Zambre, Pranav Panchal, Mitali Chouhan, Ankit Parul University Dept. of Computer Science and Engineering Vadodara India

ISBN: (纸本)9798350335095

Blockchain technology has been gaining a lot of attention due to its potential to improve data security, privacy, and decentralization. In this paper, we explore the use of blockchain in cloud, fog, and edge computing services. We analyze the unique characteristics of these services and how blockchain technology can enhance them. One of the benefits of blockchain in cloud computing is that it allows for secure and transparent data sharing among multiple parties. Blockchain can ensure the authenticity and integrity of data with smart contracts, which can automate processes and eliminate the need for intermediaries. this can result in cost savings and increased efficiency. In fog computing, blockchain can be used to enable secure and real-time data processing at the network edge. this can improve latency and reduce bandwidth consumption by processing data closer to the source. Additionally, blockchain-based fog computing can provide better data privacy and security for connected devices. Edge computing can benefit from blockchain by providing a trustless environment for data sharing and storage. Edge devices can act as nodes in a blockchain network, allowing for decentralized control and increased security. this can enable new use cases such as peer-to-peer transactions and autonomous decision making. Overall, blockchain has the potential to empower information-centric network computing in cloud, fog, and edge services by providing increased security, privacy, and efficiency. However, there are still challenges that need to be addressed such as scalability, interoperability, and governance. © 2023 IEEE.

关键词： Smart contract

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Decentralized Group Authentication of Devices Based on PhysicallyUnclonable Functions Using OneM2MArchitecture 14

Decentralized Group Authentication of Devices Based on Physi...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Saini, Pareena Mahajan, Nitish Kaushal, Sakshi Kumar, Harish Panjab University Department of Computer Science Chandigarh India

ISBN: (纸本)9798350335095

the advent of 5G networks brings significant advancements for Machine-to-machine communication as it offers high data rates, network slicing capabilities, and improved network performance. A global wave of M2M connections has brought many opportunities for industries. However, with an exponentially new number of devices connected to the internet, the security of systems has become more vulnerable. Existing schemes utilize key generation functions like Elliptic Curve Cryptography, Shamir Secret Sharing, and Message Authentication Codes. these traditional schemes are based on discrete logarithm problems and factors of large numbers, that now can be predicted with more advanced quantum computers. the keys are also stored in physical memory, making it prone to hardware security attacks. To make the current framework future-proof new optimized authentication mechanisams need to be devised. this paper presents a novel approach based on Physically Unclonable Functions that can potentially defy even quantum-based attacks. PUFs provide an alternative method of security by relying on physical characteristics as opposed to computational presumptions. PUF responses are distinct and unpredictable as it follows an event-driven approach. Moreover, the results obtained by implementing the proposed scheme show that the network performance is optimal with a significant decrease of 16% in the energy requirements as compared to other techniques. this cost-effective, robust, and reliable approach has myriad applications for the industry by generating state-of-the-art solutions and fostering trust between all stakeholders. © 2023 IEEE.

关键词： Machine-to-machine communication

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Techniques in reliability of internet of things (IoT) 16

Techniques in reliability of internet of things (IoT)

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16th International conference on ENTERprise Information Systems, CENTERIS 2024 - 12th International conference on Project MANagement, ProjMAN 2024 - 14th International conference on Health and Social Care Information Systems and Technologies, HCist 2024

作者： Singh, Khushwant Yadav, Mohit Singh, Yudhvir Moreira, Fernando Department of Computer Science & Engineering U.I.E.T Maharshi Dayanand University Rohtak124001 India Department of Mathematics University Institute of Sciences Chandigarh University Punjab Mohali140413 India REMIT IJP Universidade Portucalense Porto & IEETA Universidade de Aveiro Aveiro Portugal

the Internet of things (IoT) has rapidly transformed the way we interact with technology, connecting numerous smart devices to the internet. However, with the proliferation of IoT applications, ensuring the reliability of these interconnected systems has become a critical concern. the current paper presents the reliability of IoT systems achieved through a combination of fault tolerance, robust communication protocols, data integrity, predictive maintenance, energy efficiency, and comprehensive testing. By adopting these techniques, IoT deployments can ensure dependable and resilient operations, fostering the growth and adoption of IoT technologies across diverse industries. this abstract highlights various techniques employed to enhance the reliability of IoT systems. Fault tolerance plays a crucial role in increasing IoT system reliability. Redundancy techniques such as replication and backup are applied to ensure continued functionality in the event of device failures. Additionally, fault detection and self-healing mechanisms are integrated into IoT devices, allowing them to identify and correct errors autonomously. Robust communication protocols are essential to maintain reliable connections among IoT devices. these protocols should be designed to handle intermittent network connectivity, reduce latency, and ensure secure data transmission. Solutions like message queuing telemetry transport (MQTT) and Constrained Application Protocol (CoAP) are commonly used for their lightweight and efficient communication properties. Data integrity and security are paramount in IoT applications. Various cryptographic techniques, like asymmetric encryption and digital signatures, are implemented to safeguard data and prevent unauthorized access. Moreover, regular security audits and updates are necessary to address emerging threats and vulnerabilities. Predictive maintenance is a valuable technique for enhancing IoT device reliability. By utilizing sensors and analytics, IoT sy

关键词： Fault tolerance

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Designing a Testbed for Privacy-Preserving Voice-based Social Networks 19

Designing a Testbed for Privacy-Preserving Voice-based Socia...

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19th International conference on Future Networks and communications, FNC 2024 / 21st International conference on Mobile Systems and Pervasive Computing, MobiSPC 2024 / 14th International conference on Sustainable Energy Information Technology, SEIT 2024

作者： Jung, Youna Knoury Colleage of Computer Science Northeastern University 1300 17th St N 1500 ArlingtonVA22209 United States

Over the past decade, existing online social networks have emerged as vital platforms for fostering and nurturing social relationships. However, their reliance on text and multimedia-based interactions has posed limitations, particularly in terms of accessibility and hands-free operation, and in turn, impeded the full potential of online social networking. Voice-based social networks (VBSNs) offer a way to address these constraints by enabling multitasking through real-time audio communication, catering to a broader spectrum of users. To ensure the widespread adoption and practical utility of VBSNs, it is imperative that voice-based social networks and their applications offer secure and privacy-preserving services. In this paper, we outline the urgent requirements for voice-based social networks and evaluate existing open-source online social networking software and platforms to find the most suitable one for developing a testbed for VBSNs. Employing the chosen platform, we propose a design for VBSN testbed that facilitates the development and evaluation of VBSN applications while ensuring robust security and privacy measures through a blockchain-based decentralized identity and reputation mechanism. this proposed testbed serves as a valuable resource for researchers and developers to explore and address security and privacy concerns within the realm of voice-based social networking, enhancing the quality and reliability of their innovations. © 2024 the Author(s).

关键词： Differential privacy

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Evaluating AI and ML in Network security: A Comprehensive Literature Review 15

Evaluating AI and ML in Network Security: A Comprehensive Li...

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15th International conference on Emerging Ubiquitous Systems and Pervasive Networks / 14th International conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2024

作者： Gharbaoui, Ouissale El Kiyadi, Ikrame Boukhari, Hayat El Faculty of Law Economics and Social Sciences Sidi Mohammed Ben Abdellah University Fez28810 Morocco Prof.essor of Higher Education Student1Faculty of Law Economics and Social Sciences Sidi Mohammed Ben Abdellah University Fez28810 Morocco

Machine learning (ML) and artificial intelligence (AI) have emerged as pivotal tools for enhancing network security in the 21st century, offering innovative approaches that surpass traditional methods. this paper conducts a comprehensive literature review to explore how AI and ML contribute to advancing network security. the findings underscore the critical role of these technologies in detecting and mitigating cyber threats, automating threat responses, and predicting future vulnerabilities. the research highlights how AI and ML can significantly enhance the accuracy and efficiency of security processes, thereby bolstering an organization's overall cybersecurity posture. Additionally, the study emphasizes the importance of seamlessly integrating AI and ML with existing security architectures to maximize their benefits. Despite the significant potential of these technologies, the study identifies several gaps in the literature, such as the need for more empirical research on the effectiveness of AI and ML-based security solutions and the practical challenges of implementing these technologies in real-world scenarios. Finally, this paper discusses the limitations of the current research and suggests future research directions to further explore the convergence of network security, AI, and ML. © 2024 the Authors. Published by Elsevier B.V.

关键词： Adversarial machine learning

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Optimization with Blockchain based Secure Authentication and Collaborative Data Sharing Model in Cloud 14

Optimization with Blockchain based Secure Authentication and...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Kavita, Shelke Shinde, S.K. Fr. C. Rodrigues Institute of Technology Vashi Department of Computer Engineering Navi Mumbai India Lokmanya Tilak College of Engineering Koparkhairane Department of Computer Engineering Navi Mumbai India

ISBN: (纸本)9798350335095

Cloud computing has become a critical technology to meet infrastructure and data service needs cost-effectively, with minimal effort, and with a high degree of scalability. It is widespread in many facets. Although the use of cloud computing has increased significantly, concerns about information security have not yet been fully addressed. With the exponential growth of cloud computing, many new web services have emerged, making it difficult for customers to choose the services they want. this research study has attempted to create a powerful framework for data exchange called blockchain-based secure authentication and collaborative data sharing in the cloud to overcome this hurdle. the entities used in this research are third parties, data owners, smart contracts, and blockchain networks. the steps involved in this process are initialization, registration, authentication, data sharing, and decryption. the safety operators are created using Fire Hawks Optimization (FHO). In addition, the evaluation metrics are revenue, storage usage, and compute costs. Finally, the results proved that FHO-based OptiBC-SecAuth-DS achieved maximum revenue, minimum storage usage, and minimum computational costs. © 2023 IEEE.

关键词： Blockchain

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NetMiner: Identifying Failure-Inducing Patterns in the Logs Generated by Network Monitoring Software 14

NetMiner: Identifying Failure-Inducing Patterns in the Logs ...

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14th International conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Sathi, Gowtham Reddy Vedullapalli, Lokesh Kishan, MacHarla Hemanth Zaman, Tarannum Shaila Islam, Md Tariqul Badr, Mahmoud M. Suny Polytechnic Institute Dept. of Computer and Information Science UticaNY United States SyracuseNY United States Suny Polytechnic Institute Dept. of Network and Computer Security UticaNY United States

ISBN: (纸本)9798350335095

To ensure uninterrupted network communication among multiple sources, the network administrator needs to do real-time monitoring of network logs. Due to its huge volume and streaming nature, it is almost impossible to do a manual analysis of the logs generated by different network monitoring software. Moreover, these logs may contain a limited amount of data regarding the identity, location, capacity, etc. of a user due to privacy issues. therefore, we propose an automated system named NetMiner for performing log analysis that requires only insensitive data such as the network's current status and messages related to that status. We collect recent 30 days logs using the network monitoring tool PRTG (Paessler Router Traffic Grapher) and perform data analysis by leveraging a data mining technique called Fpmax. Our proposed technique NetMiner can identify patterns that may lead to failure and warn the network administrator about upcoming failures. Our experimental results show that NetMiner is both effective and efficient in identifying failure-inducing patterns in logs generated by network monitoring software. © 2023 IEEE.

关键词： Data mining

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