Наборы данных для систем обнаружения вторжений: повышение сетевой безопасности

Аннотация

Intrusion Detection Systems (IDS) play a pivotal role in safeguarding networks against cyber threats. To effectively develop and evaluate IDS solutions, access to diverse and comprehensive datasets is crucial. This article explores the importance of datasets for intrusion detection, highlights key requirements for such datasets, and discusses notable datasets and their features commonly used in the field. By understanding the value of high-quality data, researchers and cybersecurity professionals can better address the evolving landscape of network attacks and fortify their defense mechanisms. Keywords: Intrusion Detection Systems, Network Security, Datasets, Cyber Threats, Machine Learning.