The application of cyclostationary malware detection using boruta and pca
An analysis of cyclostationary malware is introduced. The most important cyclostationary
features used for network intrusion detection systems (NIDS) are then detected with a …
features used for network intrusion detection systems (NIDS) are then detected with a …
Mitigating Insider Threat: A Neural Network Approach for Enhanced Security
Detecting insider threats is the foremost challenge in many institutions because of the
abnormal behavior of legitimate access and network crawling in the Internet of Things (IoT) …
abnormal behavior of legitimate access and network crawling in the Internet of Things (IoT) …
Data instrumentation from IoT network traffic as support for security management
A Vergütz, BV Dos Santos, B Kantarci… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The Internet of Things revolutionizes human life by inaugurating scenarios such as smart
homes. However, IoT devices contain much sensitive information about users and devices …
homes. However, IoT devices contain much sensitive information about users and devices …
Assessing Cyclostationary Malware Detection via Feature Selection and Classification
M Nkongolo - arXiv preprint arXiv:2308.15237, 2023 - arxiv.org
Cyclostationarity involves periodic statistical variations in signals and processes, commonly
used in signal analysis and network security. In the context of attacks, cyclostationarity helps …
used in signal analysis and network security. In the context of attacks, cyclostationarity helps …