Mitigation of Distributed Denial of Service Attacks in the Cloud

Alosaimi, Wael; Žák, Michal; Al‐Begain, Khalid; Alroobaea, Roobaea; Masud, Mehedi

doi:10.1515/cait-2017-0040

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…There is a type of attack going on where the hackers try to prevent legitimate users from using the service. 49,50 In this type of attack, the attacker often sends repeated messages asking the network or server to verify requests in case the answers are coming from the incorrect places. When transferring the authentication authorization, the network or server will not be able to discover the attacker's recovery address, forcing the server to wait before cutting the connection.…”

Section: Denial Of Service Attacksmentioning

confidence: 99%

“…The intensive assault efforts may affect cloud systems in a variety of ways. These include data corruption, sensitive data inaccessibility, sensitive data loss, unauthorized users making unforeseen modifications, and corrupt software or services that are performing essential system functions. Denial of service attacks : There is a type of attack going on where the hackers try to prevent legitimate users from using the service 49,50 . In this type of attack, the attacker often sends repeated messages asking the network or server to verify requests in case the answers are coming from the incorrect places.…”

Section: Threats In Cloud Computingmentioning

confidence: 99%

See 1 more Smart Citation

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

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SummaryCloud computing (CC) refers to the on‐demand availability of network resources, particularly data storage and processing power, without requiring special or direct administration by users. CC, which just made its debut as a collection of public and private data centers, provides clients with a unified platform throughout the Internet. Cloud computing has revolutionized the world, opening up new horizons with bright potential due to its performance, accessibility, low cost, and many other benefits. Due to the exponential rise of cloud computing, systems based on cloud computing now require an effective data security mechanism. Comprehensive security policies, corporate security culture, and cloud security solutions are used to ensure the level of cloud data security. Many techniques exist to protect data communication in the cloud environment, including encryption. Encryption algorithms play an important role in information security systems and various cloud computing‐based systems. Current researchers have focused on lightweight cryptography, genetics‐based cryptography, and machine learning (ML) algorithms for security in CC. This review study analyses CC security threats, problems, and solutions that use one or more algorithms. The work discusses several lightweight cryptographies, genetics‐based cryptography and different ML algorithms that are used to overcome cloud security issues, including supervised, unsupervised, semi‐supervised, and reinforcement learning. Moreover, we enlist future research directions to secure CC models.

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Section: Denial Of Service Attacksmentioning

confidence: 99%

Section: Threats In Cloud Computingmentioning

confidence: 99%

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

View full text Add to dashboard Cite

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“…Botnets have also been discovered in traditional as well as mobile clouds, as a means of enhancing their strength, ubiquity and coverage. This has been discussed by recent studies such as Mtibaa et al [127], Li et al [128] and Zhaoet et al [129]; and techniques for the detection of botnets in cloud environments have been proposed by Badiset al [130] and Kebande and Venter (2014) [131], while countermeasures have also been reviewed and proposed to mitigate the impact of botnet-propelled attacks in cloud-based environments, as can be found in Alosaimi et al [132] and Wahab et al [133], who proposed an adaptive solution for detecting insider attacks in cloud environments, and also by Daffu and Kaur (2016) [134], respectively, amongst others.…”

Section: Botnets In Mobile and Cloud Environmentsmentioning

confidence: 99%

A Botnets Circumspection: The Current Threat Landscape, and What We Know So Far

et al. 2019

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Botnets have carved a niche in contemporary networking and cybersecurity due to the impact of their operations. The botnet threat continues to evolve and adapt to countermeasures as the security landscape continues to shift. As research efforts attempt to seek a deeper and robust understanding of the nature of the threat for more effective solutions, it becomes necessary to again traverse the threat landscape, and consolidate what is known so far about botnets, that future research directions could be more easily visualised. This research uses the general exploratory approach of the qualitative methodology to survey the current botnet threat landscape: Covering the typology of botnets and their owners, the structure and lifecycle of botnets, botnet attack modes and control architectures, existing countermeasure solutions and limitations, as well as the prospects of a botnet threat. The product is a consolidation of knowledge pertaining the nature of the botnet threat; which also informs future research directions into aspects of the threat landscape where work still needs to be done.

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