Topic: (Cyber Security) Risk Prediction and Analysis of Malicious of IoT Network Traffic


The project aims to perform cyber-risks assessment and prediction from the malicious IoT network traffic (data set) and then develop indicators of compromise to understand the nature of the attacks. The indicators will help to detect IoT malwares in the network (data set) and apply machine learning algorithms to process and calculate for the attack severity.

Type of service-Dissertation services
Type of assignment-Dissertation
Subject-IT & Technology
Pages / words-59 / 16000
Academic level-Master’s
Paper format-Harvard
Line spacing-Double
Language style-UK English

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