Malware analysis and detection using machine learning algorithms
MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …
malware is a new type of malicious software that is more adaptable than previous …
Fusion models for cyber threat defense: integrating clustering with kmeans, random forests, and SVM against windows malware
A Ramezani - 2024 IEEE World AI IoT Congress (AIIoT), 2024 - ieeexplore.ieee.org
Innovative defensive techniques are needed to address threats caused by Windows
malware that are becoming more prevalent. This study presents a novel method for …
malware that are becoming more prevalent. This study presents a novel method for …
Deep learning based residual attention network for malware detection in CyberSecurity
R Sharma, S Deshmukh, A Mannava… - 2022 6th International …, 2022 - ieeexplore.ieee.org
As the threat for viruses and malware is increasing so detecting them accurately is very
important. By studying and researching different papers, it is finally known that the main …
important. By studying and researching different papers, it is finally known that the main …
Evolutionary computation and machine learning in security
S Picek, D Jakobovic - Proceedings of the Genetic and Evolutionary …, 2022 - dl.acm.org
Stjepan Picek received his PhD in 2015 as a double doctorate under the supervision of Lejla
Batina, Elena Marchiori (Radboud University Nijmegen, The Netherlands), and Domagoj …
Batina, Elena Marchiori (Radboud University Nijmegen, The Netherlands), and Domagoj …
Research on APT Malware Detection Based on BERT-Transformer-TextCNN Modeling
J Zhang, S Liu, Z Liu - Proceedings of the 2024 International Conference …, 2024 - dl.acm.org
In recent years, with the development of the Internet, APT malware detection remains an
important issue for society. The lengthy nature of API sequence text leads to polysemy …
important issue for society. The lengthy nature of API sequence text leads to polysemy …
Malware Detection Employing Deep Neural Networks
SG Nayak, S Kurup, J Andrew - 2024 10th International …, 2024 - ieeexplore.ieee.org
Malware, malicious software designed to disrupt, damage, or gain unauthorized access to
computer systems, poses a significant and evolving threat to cybersecurity. Malware …
computer systems, poses a significant and evolving threat to cybersecurity. Malware …
[PDF][PDF] Machine Learning in Malware Analysis: Current Trends and Future Directions.
S Altaha, K Riad - … Journal of Advanced Computer Science & …, 2024 - saiconference.com
Malware analysis is a critical component of cybersecurity due to the increasing
sophistication and the widespread of malicious software. Machine learning is highly …
sophistication and the widespread of malicious software. Machine learning is highly …
[PDF][PDF] Prediction of novel malware using hybrid convolution neural network and long short-term memory approach.
N Pachhala, S Jothilakshmi, BP Battula - International Journal of …, 2024 - academia.edu
The rapid evolution of network communication technologies has led to the emergence of
new forms of malware and cybercrimes, posing significant threats to user safety, network …
new forms of malware and cybercrimes, posing significant threats to user safety, network …
A Comparison Study to Detect Malware using Deep Learning and Machine learning Techniques
Malware creation has evolved from basic malware that is easy to detect to complicated
malware that is obfuscated and quickly adaptive, raising the challenge of being easily …
malware that is obfuscated and quickly adaptive, raising the challenge of being easily …
Malware Detection and Classification for URLs using Ensemble Learning
S Uke, G Gite, H Hirkani, I Bassan… - 2024 4th International …, 2024 - ieeexplore.ieee.org
The advent of the digital age has brought about previously unheard levels of connectedness
and information availability, as well as an increase in cyber threats. Unauthorized Uniform …
and information availability, as well as an increase in cyber threats. Unauthorized Uniform …