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A comprehensive review of cyber security vulnerabilities, threats, attacks, and solutions
Internet usage has grown exponentially, with individuals and companies performing multiple
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
daily transactions in cyberspace rather than in the real world. The coronavirus (COVID-19) …
[HTML][HTML] X-ray diffraction data analysis by machine learning methods—a review
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase
composition, structure, and microstructural features of crystalline materials. The use of …
composition, structure, and microstructural features of crystalline materials. The use of …
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification
Malware has become more complicated in its purpose and abilities over time, demanding
continuous progress in detection and defense technologies. Malware designers use anti …
continuous progress in detection and defense technologies. Malware designers use anti …
Application of artificial intelligence for fraudulent banking operations recognition
B Mytnyk, O Tkachyk, N Shakhovska… - Big Data and Cognitive …, 2023 - mdpi.com
This study considers the task of applying artificial intelligence to recognize bank fraud. In
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …
recent years, due to the COVID-19 pandemic, bank fraud has become even more common …
[HTML][HTML] MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations
Malware attacks continue to evolve, making detection challenging for traditional static and
dynamic analysis techniques. On the other hand, memory analysis provides valuable …
dynamic analysis techniques. On the other hand, memory analysis provides valuable …
[HTML][HTML] Systematic review of deep learning solutions for malware detection and forensic analysis in IoT
The swift proliferation of Internet of Things (IoT) devices has presented considerable
challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract …
challenges in maintaining cybersecurity. As IoT ecosystems expand, they increasingly attract …
[PDF][PDF] Navigating the cyber security landscape: A comprehensive review of cyber-attacks, emerging trends, and recent developments
MAI Mallick, R Nath - World Scientific News, 2024 - worldscientificnews.com
The exponential growth in internet usage has reshaped daily transactions, prompting
individuals and companies to increasingly engage in cyberspace rather than traditional real …
individuals and companies to increasingly engage in cyberspace rather than traditional real …
AI-Powered Fraud Detection in Banking: Safeguarding Financial Transactions
The banking industry's metamorphosis through digitalization has unquestionably
revolutionized accessibility and convenience for customers worldwide. However, this …
revolutionized accessibility and convenience for customers worldwide. However, this …
Stochastic forecasting of variable small data as a basis for analyzing an early stage of a cyber epidemic
Abstract Security Information and Event Management (SIEM) technologies play an important
role in the architecture of modern cyber protection tools. One of the main scenarios for the …
role in the architecture of modern cyber protection tools. One of the main scenarios for the …
[HTML][HTML] MalRed: An innovative approach for detecting malware using the red channel analysis of color images
Technological advancements have significantly progressed and innovated across various
industries. However, these advancements have also led to an increase in cyberattacks using …
industries. However, these advancements have also led to an increase in cyberattacks using …