Information security behavior and information security policy compliance: A systematic literature review for identifying the transformation process from noncompliance …
A grave concern to an organization's information security is employees' behavior when they
do not value information security policy compliance (ISPC). Most ISPC studies evaluate …
do not value information security policy compliance (ISPC). Most ISPC studies evaluate …
The role of machine learning in network anomaly detection for cybersecurity
A Yaseen - Sage Science Review of Applied Machine …, 2023 - journals.sagescience.org
This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …
Internet of things (IoT) security challenges and solutions: A systematic literature review
Abstract The Internet of Things (IoT), often known as the Internet of Everything, is a new
technological paradigm visualized as a worldwide network of interconnected machines. IoT …
technological paradigm visualized as a worldwide network of interconnected machines. IoT …
iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Lysine glutarylation is a post-translation modification which plays an important regulatory
role in a variety of physiological and enzymatic processes including mitochondrial functions …
role in a variety of physiological and enzymatic processes including mitochondrial functions …
The effect of organizational information security climate on information security policy compliance: The mediating effect of social bonding towards healthcare nurses
The advancement of information communication technology in healthcare institutions has
increased information security breaches. Scholars and industry practitioners have reported …
increased information security breaches. Scholars and industry practitioners have reported …
IAmideV-deep: Valine amidation site prediction in proteins using deep learning and pseudo amino acid compositions
Amidation is an important post translational modification where a peptide ends with an
amide group (–NH2) rather than carboxyl group (–COOH). These amidated peptides are …
amide group (–NH2) rather than carboxyl group (–COOH). These amidated peptides are …
iNitroY-Deep: Computational identification of Nitrotyrosine sites to supplement Carcinogenesis studies using Deep Learning
In biological systems, Nitration is a crucial post-translational modification which occurs on
various amino acids. Nitration of Tyrosine is regarded as nitorsative stress biomarker …
various amino acids. Nitration of Tyrosine is regarded as nitorsative stress biomarker …
Computational identification of 4-carboxyglutamate sites to supplement physiological studies using deep learning
In biological systems, Glutamic acid is a crucial amino acid which is used in protein
biosynthesis. Carboxylation of glutamic acid is a significant post-translational modification …
biosynthesis. Carboxylation of glutamic acid is a significant post-translational modification …
iAceS-Deep: Sequence-based identification of acetyl serine sites in proteins using PseAAC and deep neural representations
In the biological systems, Acetylation is a crucial post-translational modification, prevalent in
various physiological functions and pathological conditions like carcinoma and …
various physiological functions and pathological conditions like carcinoma and …
A survey on phishing emails detection techniques
In the last few eras, phishing attacks have become more sensitive case for local users,
organizations, and service providers. Phishing emails can also cause financial loss to …
organizations, and service providers. Phishing emails can also cause financial loss to …