An advanced classification of cloud computing security techniques: A survey

Alturfi, Sabah M.; Al-Musawi, Bahaa; Marhoon, Haydar Abdulameer

doi:10.1063/5.0027355

Cited by 4 publications

(2 citation statements)

References 16 publications

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“…In view of the above new cloud security threats, how to ensure the information security of the cloud environment is an urgent problem to be solved under the current situation. Trough the analysis and research on the security of a cloud computing environment, it is found that the establishment of an intrusion detection system in a cloud computing environment can well protect the security of the cloud computing platform [6,7]. Intrusion detection system is a core technical means of dynamic network security protection at present [8].…”

Section: Introductionmentioning

confidence: 99%

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Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment

Wang

Chen

2023

Journal of Electrical and Computer Engineering

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Aiming at the problems of low detection rate and high false detection rate of intrusion detection algorithms in the traditional cloud computing environment, an intrusion detection-data security protection scheme based on particle swarm-BP network algorithm in a cloud computing environment is proposed. First, based on the four modules of data collection, data preprocessing, feature selection, and intrusion detection, the overall framework of the intrusion detection model is constructed by designing corresponding functions. Then, by introducing the decision tree algorithm, the overfitting is reduced and the data processing speed of the model is improved, and on this basis, the feature selection is carried out through the “gain rate” optimization method, which reduces the redundant information of the feature vector. Finally, by introducing the Particle Swarm Optimization (PSO) algorithm into the optimization of the initial weights and thresholds of the BP neural network, the BP neural network is improved based on the momentum factor and adaptive learning rate, and the high detection rate and low false detection rate are realized. Through simulation experiments, the proposed intrusion detection method and the other three methods are compared and analyzed under the same conditions. The results show that the detection rate and false detection rate of the method proposed in this paper are the best under five different types of sample data, the highest detection rate reaches 95.72%, and the lowest false detection rate drops to 2.03%. The performance of the proposed algorithm is better than that of the other two comparison algorithms.

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Section: Introductionmentioning

confidence: 99%

“…Initialize the population size to G, and set the maximum number of iterations to 1000. Calculate E according to formula(6) Encode the particles according to Fig.…”

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confidence: 99%

Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment

Wang

Chen

2023

Journal of Electrical and Computer Engineering

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Anomaly Detection in Cloud Network: A Review

Al-Mazrawe,

Al-Musawi

2024

BIO Web Conf.

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Cloud computing stands out as one of the fastest-growing technologies in the 21st century, offering enterprises opportunities to reduce costs, enhance scalability, and increase flexibility through rapid access to a shared pool of elastic computing resources. However, its security remains a significant challenge. As cloud networks grow in complexity and scale, the need for effective anomaly detection becomes crucial. Identifying anomalous behavior within cloud networks poses a challenge due to factors such as the voluminous data exchanged and the dynamic nature of underlying cloud infrastructures. Detecting anomalies helps prevent threats and maintain cloud operations. This literature review examines previous works in anomaly detection in the cloud that employ various strategies for anomaly detection, describes anomaly detection datasets, discusses the challenges of anomaly detection in cloud networks, and presents directions for future studies.

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Addressing Cloud Computing Security Issues with Solutions

Naidu,

Mahmoud

2022

2022 International Conference on Computational Science and Computational Intelligence (CSCI)

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An advanced classification of cloud computing security techniques: A survey

Cited by 4 publications

References 16 publications

Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment

Intrusion Detection-Data Security Protection Scheme Based on Particle Swarm-BP Network Algorithm in Cloud Computing Environment

Anomaly Detection in Cloud Network: A Review

Addressing Cloud Computing Security Issues with Solutions

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