Explainable artificial intelligence applications in cyber security: State-of-the-art in research
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …
XAI for cybersecurity: state of the art, challenges, open issues and future directions
In the past few years, artificial intelligence (AI) techniques have been implemented in almost
all verticals of human life. However, the results generated from the AI models often lag …
all verticals of human life. However, the results generated from the AI models often lag …
[HTML][HTML] Artificial Intelligence and reduced SMEs' business risks. A dynamic capabilities analysis during the COVID-19 pandemic
N Drydakis - Information Systems Frontiers, 2022 - Springer
The study utilises the International Labor Organization's SMEs COVID-19 pandemic
business risks scale to determine whether Artificial Intelligence (AI) applications are …
business risks scale to determine whether Artificial Intelligence (AI) applications are …
A multivocal literature review on growing social engineering based cyber-attacks/threats during the COVID-19 pandemic: challenges and prospective solutions
The novel coronavirus (COVID-19) pandemic has caused a considerable and long-lasting
social and economic impact on the world. Along with other potential challenges across …
social and economic impact on the world. Along with other potential challenges across …
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
Motivation Therapeutic peptides failing at clinical trials could be attributed to their toxicity
profiles like hemolytic activity, which hamper further progress of peptides as drug …
profiles like hemolytic activity, which hamper further progress of peptides as drug …
[HTML][HTML] AI business model: an integrative business approach
S Mishra, AR Tripathi - Journal of Innovation and Entrepreneurship, 2021 - Springer
Artificial intelligence is the ecosphere's prevalent and most comprehensive general
acquaintance common-sense cognitive engine. The artificial intelligence (AI) business …
acquaintance common-sense cognitive engine. The artificial intelligence (AI) business …
Android malware detection using deep learning
ON Elayan, AM Mustafa - Procedia Computer Science, 2021 - Elsevier
The Android operating system ranks first in the market share due to the system's smooth
handling and many other features that it provides to Android users, which has attracted …
handling and many other features that it provides to Android users, which has attracted …
The future of artificial intelligence in cybersecurity: A comprehensive survey
F Tao, MS Akhtar, Z Jiayuan - EAI Endorsed Transactions on …, 2021 - publications.eai.eu
AI in Cybersecurity Market scheme helps organizations in observance, detecting, reporting,
and countering cyber threats to keep up information confidentiality. The increasing …
and countering cyber threats to keep up information confidentiality. The increasing …
Integrating AI with cyber security for smart industry 4.0 application
SB Goyal, AS Rajawat, RK Solanki… - 2023 International …, 2023 - ieeexplore.ieee.org
The advent of Smart Industry 4.0 has brought about significant advances in automation,
efficiency, and productivity in industrial environments. However, these technological …
efficiency, and productivity in industrial environments. However, these technological …
Importance of AIOps for Turn Metrics and Log Data: A Survey
AIOps is an information technology approach that automates and streamline IT operations
by combining big data with machine learning models. For example, event correlation …
by combining big data with machine learning models. For example, event correlation …