Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
Risk-based security is a concept introduced in order to provide security checks without inconveniencing travelers that are being checked with unqualified scrutiny checks while maintaining the same level of security with current check point practices without compromising security standards. Furthermo...
Furkejuvvon:
| Váldodahkki: | |
|---|---|
| Materiálatiipa: | Online |
| Giella: | eaŋgalasgiella |
| Almmustuhtton: |
InTechOpen
2021
|
| Fáttát: | |
| Liŋkkat: | ONIX_20210602_10.5772/intechopen.96209_505 |
| Fáddágilkorat: |
Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!
|
Geahča maid: Chapter Risk Assessment and Automated Anomaly Detection Using a Deep Learning Architecture
- Self-learning Anomaly Detection in Industrial Production
- Security Risk Management for the Internet of Things
- Security Technologies and Methods for Advanced Cyber Threat Intelligence, Detection and Mitigation
- Deep Learning Applications
- Security of Networks and Services in an All-Connected World: 11th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2017, Zurich, Switzerland, July 10-13, 2017, Proceedings
- Rational Cybersecurity for Business