Introductory Chapter: Cloud Computing Security Challenges

Harkut, Dinesh G.

doi:10.5772/intechopen.92544

Cited by 2 publications

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“…In addition, denial of service can serve as a catalyst and be utilized as a diversion to hide the malicious activities that bypass the cloud firewall. As a result, it can rapidly spread and cause greater harm instead of just impacting a single device [43]. DoS attacks aim to hinder users from accessing IoT, cloud networks, and other computer services.…”

Section: Denial Of Service (Dos) Attacksmentioning

confidence: 99%

Security aspects in IoT based cloud computing

Ehsan Bazgir,

Ehteshamul Haque,

Numair Bin Sharif

et al. 2023

World J. Adv. Res. Rev.

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Cloud computing offers a flexible framework in which data and resources are spread across different locations and can be accessed from various industrial environments. This technology has revolutionized the way resources such as data, services, and applications are used, stored, and shared in industrial applications. Over the past decade, industries have rapidly embraced cloud computing due to its advantages of enhanced accessibility, cost reduction, and improved performance. Moreover, the integration of cloud computing has led to significant advancements in the field of the Internet of Things (IoT). However, this quick shift to the cloud has also introduced various security concerns and challenges. Traditional security solutions are not always suitable or effective for cloud-based systems. Despite the continuous use of complex cyber weapons, efforts have been made in recent years to address the security issues and concerns associated with cloud platforms. The rapid progress of deep learning (DL) in the field of artificial intelligence (AI) has provided opportunities to tackle these security challenges in the cloud. The research presented in this study encompasses a comprehensive survey of the enabling architecture, services, configurations, and security models for cloud-based IoT. It also categorizes the security concerns in IoT within four major categories (data, network and service, applications, and people-related security issues) and provides a detailed discussion on each category. Furthermore, the study examines the latest advancements in cloud-based IoT attacks, analyzes significant security issues within each category, and presents the limitations from a broader perspective encompassing general, artificial intelligence, and deep learning aspects.

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Section: Denial Of Service (Dos) Attacksmentioning

confidence: 99%

Security aspects in IoT based cloud computing

Ehsan Bazgir,

Ehteshamul Haque,

Numair Bin Sharif

et al. 2023

World J. Adv. Res. Rev.

View full text Add to dashboard Cite

show abstract

“…The main incentive behind this kind of attack is to drive the cloud service owner to raise the elasticity levels to handle the increased traffic and utilize more virtual resources to serve the request and ensure the quality of service (QoS), thus making it irresponsible ultimately. Furthermore, denial of service may act as an instigator and be used as a smokescreen to conceal the malicious activities circumventing the firewall of the cloud, and thus, can expand quickly to cause more damage instead of affecting one device [87]. DoS attacks are carried out to prevent users from gaining access to IoT, cloud networks, and other computer services.…”

Section: Denial Of Service Attacksmentioning

confidence: 99%

Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey

et al. 2021

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Cloud computing provides the flexible architecture where data and resources are dispersed at various locations and are accessible from various industrial environments. Cloud computing has changed the using, storing, and sharing of resources such as data, services, and applications for industrial applications. During the last decade, industries have rapidly switched to cloud computing for having more comprehensive access, reduced cost, and increased performance. In addition, significant improvement has been observed in the internet of things (IoT) with the integration of cloud computing. However, this rapid transition into the cloud raised various security issues and concerns. Traditional security solutions are not directly applicable and sometimes ineffective for cloud-based systems. Cloud platforms’ challenges and security concerns have been addressed during the last three years, despite the successive use and proliferation of multifaceted cyber weapons. The rapid evolution of deep learning (DL) in the artificial intelligence (AI) domain has brought many benefits that can be utilized to address industrial security issues in the cloud. The findings of the proposed research include the following: we present a comprehensive survey of enabling cloud-based IoT architecture, services, configurations, and security models; the classification of cloud security concerns in IoT into four major categories (data, network and service, applications, and people-related security issues), which are discussed in detail; we identify and inspect the latest advancements in cloud-based IoT attacks; we identify, discuss, and analyze significant security issues in each category and present the limitations from a general, artificial intelligence and deep learning perspective; we provide the technological challenges identified in the literature and then identify significant research gaps in the IoT-based cloud infrastructure to highlight future research directions to blend cybersecurity in cloud.

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Introductory Chapter: Cloud Computing Security Challenges

Cited by 2 publications

References 0 publications

Security aspects in IoT based cloud computing

Security aspects in IoT based cloud computing

Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey

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