Intrusion Detection Using Machine Learning for Security and Privacy in Humanitarian Aid System
Intrusion detection systems (IDS) are crucial for ensuring the integrity and security of humanitarian aid systems to secure sensitive data. However, deploying IDS in humanitarian aid systems can be challenging due to limited infrastructure, lack of cybersecurity expertise, and data complexity. This...
| Published in: | IEEE Region 10 Humanitarian Technology Conference, R10-HTC |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214825878&doi=10.1109%2fR10-HTC59322.2024.10778673&partnerID=40&md5=af078c47569665ef6f8e4ff8f284ed57 |