Analysis of Hybrid Data Security Algorithms for Cloud

Soman, Vikas K.; Natarajan, V.

doi:10.1007/978-3-030-49500-8_20

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Physical Security Sensitive Data Leakage Privacy Breaching Hacking Intrusion1

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2021

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“…Lightweight cryptographic algorithms for physical security analysis (46). SHA-512, ECC, and RSA hybrid cloud security system used for securing data in a cloud structure (47). In an earlier paper (35), the study presented fuzzy-based detection schemes by various machine learning techniques and data mining algorithms to cope with multiple types of malicious attacks or intrusion.…”

Section: Physical Security Sensitive Data Leakage Privacy Breaching Hacking Intrusionmentioning

confidence: 99%

Trustworthy Intrusion Detection in E-Healthcare Systems

Akram

Zhao

et al. 2021

Front. Public Health

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In Internet of Things (IoT)-based network systems (IoT-net), intrusion detection systems (IDS) play a significant role to maintain patient health records (PHR) in e-healthcare. IoT-net is a massive technology with security threats on the network layer, as it is considered the most common source for communication and data storage platforms. The security of data servers in all sectors (mainly healthcare) has become one of the most crucial challenges for researchers. This paper proposes an approach for effective intrusion detection in the e-healthcare environment to maintain PHR in a safe IoT-net using an adaptive neuro-fuzzy inference system (ANFIS). In the proposed security model, the experiments present a security tool that helps to detect malicious network traffic. The practical implementation of the ANFIS model on the MATLAB framework with testing and training results compares the accuracy rate from the previous research in security.

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Section: Physical Security Sensitive Data Leakage Privacy Breaching Hacking Intrusionmentioning

confidence: 99%