Malware detection with dynamic evolving graph convolutional networks
Z Zhang, Y Li, W Wang, H Song… - International Journal of …, 2022 - Wiley Online Library
Malware detection is a vital task for cybersecurity. For malware dynamic behavior, threats
come from a small number of Application Programming Interfaces (APIs) embedded in the …
come from a small number of Application Programming Interfaces (APIs) embedded in the …
An ensemble framework for detection of DNS-Over-HTTPS (DOH) traffic
A Aggarwal, M Kumar - Multimedia Tools and Applications, 2024 - Springer
Abstract Domain Name System (DNS) is a fundamental protocol and backbone of the
internet that translates domain names to Internet Protocol (IP) addresses. Initially, it was only …
internet that translates domain names to Internet Protocol (IP) addresses. Initially, it was only …
Ship attitude prediction model based on cross-parallel algorithm optimized neural network
Y Jiang, M Jia, B Zhang, L Deng - IEEE Access, 2022 - ieeexplore.ieee.org
In recent years, with the development of modern technology and industrialization, the
shipbuilding industry has become an essential field in a country. Offshore operations, such …
shipbuilding industry has become an essential field in a country. Offshore operations, such …
Course complexity in engineering education using E-learner's affective-state prediction
SR Rathi, YD Deshpande - Kybernetes, 2023 - emerald.com
Purpose Affective states in learning have gained immense attention in education. The
precise affective-states prediction can increase the learning gain by adapting targeted …
precise affective-states prediction can increase the learning gain by adapting targeted …