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Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection
Taylor & Francis Verlag | 2020| -
Analysis of various data security techniques of steganography: A survey
Taylor & Francis Verlag | 2021| -
CovidChain: An Anonymity Preserving Blockchain Based Framework for Protection Against Covid-19
Taylor & Francis Verlag | 2021| -
Defense schemes for variants of distributed denial-of-service (DDoS) attacks in cloud computing: A survey
Taylor & Francis Verlag | 2017| -
An efficient steganographic approach for protecting communication in the Internet of Things (IoT) critical infrastructures
Taylor & Francis Verlag | 2016| -
Deep belief network based detection and categorization of malicious URLs
Taylor & Francis Verlag | 2018| -
A review on statistical approaches for anomaly detection in DDoS attacks
Taylor & Francis Verlag | 2020| -
A novel sensitive image encryption algorithm based on the Zaslavsky chaotic map
Taylor & Francis Verlag | 2016| -
Provable secure lightweight multiple shared key agreement based on hyper elliptic curve Diffie–Hellman for wireless sensor networks
Taylor & Francis Verlag | 2020| -
CGSA scheduler: A multi-objective-based hybrid approach for task scheduling in cloud environment
Taylor & Francis Verlag | 2018| -
Cybercrime risk awareness rate among students in Central Asia: A comparative study in Kyrgyzstan and Kazakhstan
Taylor & Francis Verlag | 2019| -
Profit maximization based task scheduling in hybrid clouds using whale optimization technique
Taylor & Francis Verlag | 2020| -
Sinkhole+CloneID: A hybrid attack on RPL performance and detection method
Taylor & Francis Verlag | 2019| -
A comprehensive cybersecurity learning platform for elementary education
Taylor & Francis Verlag | 2019| -
Fear of the unknown with healthcare IoT devices: An exploratory study
Taylor & Francis Verlag | 2021|