Secure data storage and intrusion detection in the cloud using MANN and dual encryption through various attacks

Ruth, J. Anitha; Sirmathi, H.; Meenakshi, A.

doi:10.1049/iet-ifs.2018.5295

Cited by 15 publications

(1 citation statement)

References 18 publications

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“…With the rapid development of the Internet, web pages have become an important database for various research and applications, and information extraction has become a key problem to be solved urgently in research and applications (Ruth et al, 2019). In the past 10 years, researchers from different fields have successively proposed a large number of information extraction algorithms, among which some mature methods have also appeared, which effectively replace some traditional clumsy extraction methods.…”

Section: Related Workmentioning

confidence: 99%

An information extraction method based on improved mixed text density web pages

2023

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To improve the effect of web page information extraction, this paper proposes an improved information extraction method of mixed text density grids. Under various power constraints of the relay node itself, this paper proposes a design scheme of joint beamforming and artificial noise based on safety and rate maximisation. Furthermore, with the help of semidefinite relaxation techniques and first‐order approximations, it can be approximated as a semidefinite programming problem that is easy to solve. In addition, this paper uses an iterative algorithm based on a continuous convex approximation to process data to improve the accuracy of web page data extraction. The experimental results show that the information extraction method based on improved mixed text density webpages proposed in this paper has a good information extraction effect.

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Section: Related Workmentioning

confidence: 99%

An information extraction method based on improved mixed text density web pages

2023

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Intrusion Detection System Using Homomorphic Encryption

Singh¹,

Kitawat²,

Kejriwal³

et al. 2022

Intelligent Data Communication Technologies and Internet of Things

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Survey of Techniques on Data Leakage Protection and Methods to address the Insider threat

Montano

Aranda²,

Diaz³

et al. 2022

Cluster Comput

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Data leakage is a problem that companies and organizations face every day around the world. Mainly the data leak caused by the internal threat posed by authorized personnel to manipulate confidential information. The main objective of this work is to survey the literature to detect the existing techniques to protect against data leakage and to identify the methods used to address the insider threat. For this, a literature review of scientific databases was carried out in the period from 2011 to 2022, which resulted in 42 relevant papers. It was obtained that from 2017 to date, 60% of the studies found are concentrated and that 90% come from conferences and publications in journals. Significant advances were detected in protection systems against data leakage with the incorporation of new techniques and technologies, such as machine learning, blockchain, and digital rights management policies. In 40% of the relevant studies, significant interest was shown in avoiding internal threats. The most used techniques in the analyzed DLP tools were encryption and machine learning.

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Secure data storage and intrusion detection in the cloud using MANN and dual encryption through various attacks

Cited by 15 publications

References 18 publications

An information extraction method based on improved mixed text density web pages

An information extraction method based on improved mixed text density web pages

Intrusion Detection System Using Homomorphic Encryption

Survey of Techniques on Data Leakage Protection and Methods to address the Insider threat

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