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...
| 出版年: | IEEE Region 10 Humanitarian Technology Conference, R10-HTC |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214825878&doi=10.1109%2fR10-HTC59322.2024.10778673&partnerID=40&md5=af078c47569665ef6f8e4ff8f284ed57 |