Virtual Machine Security Problems and Countermeasures for Improving Quality of Service in Cloud Computing

Mahipal, S; Sharmila, V. Ceronmani

doi:10.1109/icais50930.2021.9395922

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…Since the Cloud plentiful computing and storage resources, connectivity to the cloud is usually essential for large-scale IoT applications. Having an appropriate encryption technique, the IoT data can be easily stored and kept secure at the cloud datacenters [25], however, once stored, it is impractical to use it for any purpose except for restoring it to be decrypted. To resolve this, numerous academic and industrial efforts are being devoted to developing new cryptographic methods such as homomorphic encryption, which enables the use of encrypted data in computational tasks, and searchable encryption, which promotes searching within encrypted data.…”

Section: Data Security (S5)mentioning

confidence: 99%

“…It is an attempt to make the use of vulnerabilities of hyper-visor with the main aim to dictate the fundamental infrastructure greedy for its design elasticity and code intricacy, which agree with enterprises requirements [117] Trustworthy virtual datacenter, dependable cloud computing platform, hyper safe, appropriately designing the host/guest interaction [25] (continued) [118,119] Access control [118], virtual machine debugging tools, high assurance platform (HAP) [120] communication [142]. RFID is always tagged to any IoT objects including humans, physical objects, and animals.…”

Section: Allmentioning

confidence: 99%

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Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

Abdel‐Basset

Moustafa

Hawash

et al. 2021

Deep Learning Techniques for IoT Security and Privacy

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This chapter elaborates on different security aspects to be taken into accounts during the development and the deployments of IoT architecture. To make the reader about the security of the IoT based system, this chapter begins by defining the contemporary security requirements that should be considered to realize a reliable and trustworthy IoT environment. Then, the discussion extends to differentiate different concepts of IoT security i.e., threat, vulnerability, countermeasure, attacks, risks; and also explain how the concepts relate to each other. Later, a systematic taxonomy is presented for classifying IoT attacks according to IoT assets, where each class of IoT is further classified into more subcategories. Finally, the discussion of each elaborate different categories of IoT attack indicating their main security targets and possible IoT countermeasures.To sum up, this chapter intends to provide a comprehensive overview regarding IoT security vulnerabilities, threats, countermeasures, risks along with practices of handling them all through the following sections: • Security Requirements in Internet of Things • IoT threats, Attacks, vulnerabilities, and risks • Today's IoT attacks and Countermeasures • IoT attack surfaces • Summary and Learnt Lessons.

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Section: Data Security (S5)mentioning

confidence: 99%

Section: Allmentioning

confidence: 99%

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

Abdel‐Basset

Moustafa

Hawash

et al. 2021

Deep Learning Techniques for IoT Security and Privacy

View full text Add to dashboard Cite

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“…In order to meet the above objectives, construction of a service level agreement (SLA) should be established [8]. The QoS of cloud computing environment is further increased by performing efficient scheduling of resources for distributing the resources to complete the tasks (or jobs) with low execution time [9,10]. Several works perform efficiencyaware resource scheduling to increase the cloud computing QoS.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

Ahmad Khan,

Mahmood Khan,

(Corresponding Author)

2023

MJCS

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This Systematic Literature Review (SLR) examines the security threats experienced by cloud computing along with QoS by edge computing and scheduling. Various consumers and cloud service providers (CSP) obtained benefits from the cloud computing environment. However, various privacy and security challenges occur in this digital age. This SLR mainly aims to review the state of the art research studies on secure cloud computing with high QoS and its challenges. We examined numerous research studies related to cloud computing security with secure service level agreement (SLA) which are published between 2019 to 2022 from the reputed electronic databases. Cloud computing security is ensured mostly based on trust evaluation, implementation of blockchain technology, authentication, and cryptography techniques, and implementing edge computing in the cloud environment. This SLR also analyzed the research gaps of the previous research papers and provides future research directions to obtain secure cloud computing environment with high QoS performance.

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An Artificial Intelligence (AI) based Energy Efficient and Secured Virtual Machine Allocation Model in Cloud

Alhebaishi

2022

2022 3rd International Conference on Computing, Analytics and Networks (ICAN)

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Virtual Machine Security Problems and Countermeasures for Improving Quality of Service in Cloud Computing

Cited by 5 publications

References 24 publications

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

Internet of Things Security Requirements, Threats, Attacks, and Countermeasures

A Systematic Literature Review on Security Issues in Cloud Computing Using Edge Computing and Blockchain: Threat, Mitigation, and Future Trends

An Artificial Intelligence (AI) based Energy Efficient and Secured Virtual Machine Allocation Model in Cloud

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