Fileless malware threats: Recent advances, analysis approach through memory forensics and research challenges
I Kara - Expert Systems with Applications, 2023 - Elsevier
The rapid advancements in cyber-attack strategies are in parallel with the measures for
detection, analysis, and prevention. Attackers have recently developed fileless malware that …
detection, analysis, and prevention. Attackers have recently developed fileless malware that …
The dangerous combo: Fileless malware and cryptojacking
Fileless malware and cryptojacking attacks have appeared independently as the new
alarming threats in 2017. After 2020, fileless attacks have been devastating for victim …
alarming threats in 2017. After 2020, fileless attacks have been devastating for victim …
[HTML][HTML] Skin cancer classification using fine-tuned transfer learning of DENSENET-121
Skin cancer diagnosis greatly benefits from advanced machine learning techniques,
particularly fine-tuned deep learning models. In our research, we explored the impact of …
particularly fine-tuned deep learning models. In our research, we explored the impact of …
[PDF][PDF] E-learning virtual meeting applications: A comparative study from a cybersecurity perspective
During the coronavirus disease 2019 (COVID-19) pandemic outbreak, the lockdown of all
activities including schools and universities became a normal habit, forcing educational …
activities including schools and universities became a normal habit, forcing educational …
[PDF][PDF] Malware Detection System Using Mathematics of Random Forest Classifier
AA Kikelomo, YN Asafe, OI Oludayo - 2023 - researchgate.net
Most cyberattacks including data breaches, identity theft, fraud, and other issues, are known
to be caused by malware. Some of the malware attacks are categories as adware, spyware …
to be caused by malware. Some of the malware attacks are categories as adware, spyware …