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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	IEEE Region 10 Humanitarian Technology Conference, R10-HTC
المؤلف الرئيسي:	Mashudi N.A.; Taqiah Ab Aziz N.; Wan Abdul Rahman W.F.; Ahmad N.; Noor N.M.
التنسيق:	Conference paper
اللغة:	English
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2024
الوصول للمادة أونلاين:	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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