A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment

Gupta, Rishabh; Singh, Ashutosh Kumar

doi:10.1007/s00354-022-00185-z

Cited by 20 publications

(2 citation statements)

References 36 publications

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“…Their effectiveness as well as accuracy were then calculated and compared to other systems. Method that makes DL better with fewer resources and in less time was proposed by author [9]. They came up with the model "SP-PCA-SVM," which uses the Apache Spark tool to combine Support Vector Machine (SVM) and Parallel Principal Component Analysis (PCA) to speed up learning.…”

Section: Soft Computing Computer Network Existing Techniques;mentioning

confidence: 99%

Soft computing in computer network security protection system with machine learning based on level protection in the cloud environment

Thomas

Gupta

Rajan

et al. 2023

Preprint

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Artificial neural networks (ANN), fuzzy inference systems, approximate reasoning, and derivative-free optimization approaches like evolutionary computation, among others, are all components of Soft Computing (SC), an innovative method for building computationally intelligent methods. Due to its widespread use and benefits, cloud computing is currently a major focus for researchers. The distributed nature of cloud computing and its complete reliance on the internet for service provision present security challenges, the most serious of which is insider Distributed Denial of Service (DDoS), which results in complete deactivation of services. Based on machine learning and the cloud, this study proposes a novel method for improving computing network security. Using a trust-based secure cloud environment and the Kernel principal component encoder architecture, the network monitoring is carried out. The soft computing environment-based detection of a cyberattack on the network is the purpose for the security enhancement. Throughput, QoS, latency, and packet delivery ratio for various monitored cyber security datasets are the focus of the experimental analysis.the proposed technique attainednetwork security analysis of 89%, throughput of 98%, QoS of 66%, latencyof 59%, packet delivery ratio of 83%.

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Section: Soft Computing Computer Network Existing Techniques;mentioning

confidence: 99%

Soft computing in computer network security protection system with machine learning based on level protection in the cloud environment

Thomas

Gupta

Rajan

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Moreover, the co-residency of virtual machines of multiple users on a common physical server often leads to malicious activities like, data hampering and leakage of cloud user's confidential data [10,[92][93][94][95][96][97][98][99][100][101][102]. The malicious user or hacker launches one or multiple of virtual machines and exploits multiple network routes by achieving co-residency with the target virtual machine [29,[103][104][105][106][107][108][109][110][111][112]. The vulnerabilities and susceptibilities of virtual machines management layer and hypervisor facilitates malicious user to get access to target physical machine and compromise all the virtual machines hosted on it.…”

Section: Introductionmentioning

confidence: 99%

A Review on Secure Cloud Resource Management

Chhabra¹,

Saxena²,

Rekha³

2023

Preprint

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<p>Security is always a prime concern of every cloud user. Many pioneer surveys have been done concerning security during data communication among owners, users, and stakeholders. However, there is a lack of literature surveys that address the concern of security during data processing or the workload execution within cloud data centers. In this context, we present a concise review of the existing methods that have addressed the security of workload or user data during load scheduling and execution within cloud environments. These methods have applied load-balancing strategies that helped to minimize the security attacks via co-residency or covert channels. The pandect comparative summary of these methods follows the corresponding review. The paper is concluded with limitations and future direction concerning secure load management.</p>

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Context-Based Persuasion Analysis of Sentiment Polarity Disambiguation in Social Media Text Streams

singh,

Kumari,

Gupta

2023

New Gener. Comput.

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A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment

Cited by 20 publications

References 36 publications

Soft computing in computer network security protection system with machine learning based on level protection in the cloud environment

Soft computing in computer network security protection system with machine learning based on level protection in the cloud environment

A Review on Secure Cloud Resource Management

Context-Based Persuasion Analysis of Sentiment Polarity Disambiguation in Social Media Text Streams

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