A Survey on Artificial Intelligence in Malware as Next-Generation Threats
Recent developments in Artificial intelligence (AI) have a vast transformative potential for both cybersecurity defenders and cybercriminals. Anti-malware solutions adopt intelligent techniques to detect and prevent threats to the digital space. In contrast, cybercriminals are aware of the new prosp...
Hlavní autoři: | Cong Truong Thanh, Ivan Zelinka |
---|---|
Médium: | Článek |
Jazyk: | English |
Vydáno: |
Brno University of Technology
2019-12-01
|
Edice: | Mendel |
Témata: | |
On-line přístup: | https://mendel-journal.org/index.php/mendel/article/view/105 |
Podobné jednotky
-
Intelligent Malware - Trends and Possibilities
Autor: Jan Plucar, a další
Vydáno: (2021-06-01) -
MalFe—Malware Feature Engineering Generation Platform
Autor: Avinash Singh, a další
Vydáno: (2023-10-01) -
Generative Adversarial Network for Global Image-Based Local Image to Improve Malware Classification Using Convolutional Neural Network
Autor: Sejun Jang, a další
Vydáno: (2020-10-01) -
Optimal Weighted Voting-Based Collaborated Malware Detection for Zero-Day Malware: A Case Study on VirusTotal and MalwareBazaar
Autor: Naonobu Okazaki, a další
Vydáno: (2024-07-01) -
Intelligent Pattern Recognition Using Equilibrium Optimizer With Deep Learning Model for Android Malware Detection
Autor: Mohammed Maray, a další
Vydáno: (2024-01-01)