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Home
Institute of Technology
Computer Science
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Computer Science
Permanent URI for this collection
https://etd.hu.edu.et/handle/123456789/76
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2019 EMDHS
1
5G
1
5G NR
1
5G novel protocols
1
: Computer vision
1
: Deep Learning
1
Afaan Oromoo
1
Agriculture
2
Amharic hate speech
1
and lack of central control make them susceptible to routing attacks. A significant threat is selfish node behavior
1
and loss loan
1
annotation
1
Anomaly Detection
2
aquaculture
1
Artificial Neural Network
1
as seen in the Ad-hoc On-demand Distance Vector (AODV) protocol. This thesis introduces a MA (Mobile Agent) based lightweight system to detect and prevent Selfish Node Type 1 (SNT1) attacks in MANETs. The proposed system employs multiple MAs that utilize a watchdog and trust value technique to monitor neighboring nodes during data transmission. By overhearing network traffic
1
Aspect Term Extraction
1
Aspect-Based Sentiment Analysis (ABSA)
1
Attack detection
1
Awngi Language
1
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