Network Security and Intrusion Detection
Network Security and Intrusion Detection is a research topic within Computer Networks and Communications. Science Explorer counts 72k research works in it since 1952. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the development and application of techniques, models, and systems for network intrusion detection and defense mechanisms. It covers topics such as machine learning, DDoS attacks, anomaly detection, IoT security, and data mining in the context of cybersecurity. The papers explore various approaches to identifying and mitigating security threats in network environments.
- Intrusion Detection
- Network Security
- Machine Learning
- DDoS Attacks
- Anomaly Detection
- IoT Security
- Cybersecurity
- Data Mining
- Deep Learning
- Botnet Detection
- Research works
- 72k fractional, since 1952
- In the world top 10%
- 7.1k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +81% the tick is no change
- Largest producer
China
34% of the 10 largest, 2022-now
Discussion
Ask a question or share a note about Network Security and Intrusion Detection. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.