Intrusion Detection Using Machine Learning for Security and Privacy in Humanitarian Aid System

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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...

書誌詳細
出版年:	IEEE Region 10 Humanitarian Technology Conference, R10-HTC
第一著者:	Mashudi N.A.; Taqiah Ab Aziz N.; Wan Abdul Rahman W.F.; Ahmad N.; Noor N.M.
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2024
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

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