Security Issues in Cloud and Mobile cloud: A Comprehensive Survey

Srikanth, G. Umarani; Jaffrin, Lijetha.C.

doi:10.1080/19393555.2022.2035470

Cited by 4 publications

(3 citation statements)

References 41 publications

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“…According to [25], packet speed categories can be classified as shown in Table 1, Table 2 shows the traffic types with their characteristics The vast amount of heterogeneous data gathered from network devices poses lenges in monitoring and detecting irregularities in the network [26]. The current net traffic supports IoT infrastructure with numerous devices, and big data stored in the [27]. Mobile cloud is an emerging technology involved in different domains to reduc mobile cloud (MC) limitations using cloud services due to connected wireless media Due to minimal storage resources, the data gathered from various smart devices is s and processed in the cloud [29].…”

Section: Background Of High-speed Networkmentioning

confidence: 99%

“…A data stream an is necessary for high-speed real-time data from many resources connected to the net [24]. According to [25], packet speed categories can be classified as shown in Table 1, Table 2 shows the traffic types with their characteristics Characteristic traffic supports IoT infrastructure with numerous devices, and big data stored in the [27]. Mobile cloud is an emerging technology involved in different domains to reduc mobile cloud (MC) limitations using cloud services due to connected wireless media Due to minimal storage resources, the data gathered from various smart devices is s and processed in the cloud [29].…”

Section: Architecture Of High-speed Networkmentioning

confidence: 99%

“…The vast amount of heterogeneous data gathered from network devices poses challenges in monitoring and detecting irregularities in the network [ 26 ]. The current network traffic supports IoT infrastructure with numerous devices, and big data stored in the cloud [ 27 ]. Mobile cloud is an emerging technology involved in different domains to reduce the mobile cloud (MC) limitations using cloud services due to connected wireless media [ 28 ].…”

Section: Background Of High-speed Networkmentioning

confidence: 99%

See 2 more Smart Citations

High-Speed Network DDoS Attack Detection: A Survey

Haseeb-ur-rehman,

Aman,

Hasan

et al. 2023

Sensors

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Having a large number of device connections provides attackers with multiple ways to attack a network. This situation can lead to distributed denial-of-service (DDoS) attacks, which can cause fiscal harm and corrupt data. Thus, irregularity detection in traffic data is crucial in detecting malicious behavior in a network, which is essential for network security and the integrity of modern Cyber–Physical Systems (CPS). Nevertheless, studies have shown that current techniques are ineffective at detecting DDoS attacks on networks, especially in the case of high-speed networks (HSN), as detecting attacks on the latter is very complex due to their fast packet processing. This review aims to study and compare different approaches to detecting DDoS attacks, using machine learning (ML) techniques such as k-means, K-Nearest Neighbors (KNN), and Naive Bayes (NB) used in intrusion detection systems (IDSs) and flow-based IDSs, and expresses data paths for packet filtering for HSN performance. This review highlights the high-speed network accuracy evaluation factors, provides a detailed DDoS attack taxonomy, and classifies detection techniques. Moreover, the existing literature is inspected through a qualitative analysis, with respect to the factors extracted from the presented taxonomy of irregular traffic pattern detection. Different research directions are suggested to support researchers in identifying and designing the optimal solution by highlighting the issues and challenges of DDoS attacks on high-speed networks.

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Section: Background Of High-speed Networkmentioning

confidence: 99%

Section: Architecture Of High-speed Networkmentioning

confidence: 99%

Section: Background Of High-speed Networkmentioning

confidence: 99%

See 1 more Smart Citation

High-Speed Network DDoS Attack Detection: A Survey

Haseeb-ur-rehman,

Aman,

Hasan

et al. 2023

Sensors

View full text Add to dashboard Cite

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Privacy and biometrics for smart healthcare systems: attacks, and techniques

Wells,

Usman

2023

Information Security Journal: A Global Perspective

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Factors influencing quality and performance of cloud computing platforms defined by personal users in South Africa

Ravele

Mtotywa

2022

IJRBS

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Cloud computing changed our way of doing things because we now maintain our systems and data on global online platforms. The research aimed to investigate the predictive factors determining the quality of personal users' cloud computing and their effect on platform performance. The study adopted a cross-sectional, descriptive, quantitative design conducted within South African communities and received 254 responses, a response rate of 66.1%. The measurement model (SRMR = 0.071) results demonstrated that cost-effectiveness, reliability, flexibility, availability, security effectiveness, and scalability collectively define the quality of cloud computing platforms utilized by personal users. AVE (0.575 – 0.694), CR (0.844 – 0.901), Fornell-Larcker criterion, and cross-loadings confirmed convergent validity, reliability, and discriminant validity. Security effectiveness, scalability, and reliability have a statistically significant effect on platform performance with small to medium effect sizes. The theoretical implication is an enhanced domestication theory of technology based on cloud computing, thus providing insights into the needs required to fit within the prevailing environment and context. In addition, it helped understand the personal users' decisions on cloud computing. The study enhances cloud computing at a personal level through understanding that the decision and value may differ from well-researched organizational levels.

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Security Issues in Cloud and Mobile cloud: A Comprehensive Survey

Cited by 4 publications

References 41 publications

High-Speed Network DDoS Attack Detection: A Survey

High-Speed Network DDoS Attack Detection: A Survey

Privacy and biometrics for smart healthcare systems: attacks, and techniques

Factors influencing quality and performance of cloud computing platforms defined by personal users in South Africa

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