As a machine learning expert for an Al cyber security company, your task is to design an automated network intrusion det

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As A Machine Learning Expert For An Al Cyber Security Company Your Task Is To Design An Automated Network Intrusion Det 1 (89 KiB) Viewed 13 times

As a machine learning expert for an Al cyber security company, your task is to design an automated network intrusion detection system. You have collected a large number of records of network activities. Each record includes the log information about network activity, such as protocol types, duration, number of failed logins, which are random variables, denoted as X = [X₁, X₂, ..., X₁]¹. Each record also includes a binary random variable Y called label that was labelled by cyber security experts as intrusions (Y = 1) or normal connections (Y = 0). (a) Consider feature selection based on mutual information to reduce the number of independent variables. (i) Explain to your colleague, who knows nothing about information theory, the concept of mutual information. [2 marks] (ii) Explain the loop, i.e., lines 4-7 of the pseudocode in Table 1. Note /(Y; X;) is the mutual information between Y and X₁.

1: Initialisation: Set FX and SØ 2: fmax = = argmaxx;ex I(Y; X;) 3: Set FF\{fmax} and S ← fmax Repeat until |S| = K: 4: 5: fmax - = argmaxx;EF I(Y; X;) – BΣX¸es /(Xs; X;) Set FF\{fmax} and S fmax US 6: 7: End 8: End Table 1: Pseudocode of Mutual Information based Feature Selection Algorithm.