December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Using TensorFlow for intrusion detection
We will use the intrusion detection problem again to detect anomalies. Initially, we will import pandas, as shown:
import pandas as pd
We get the names of the features from the dataset at this link: http://icsdweb.aegean.gr/awid/features.html.
We will include the features code as shown here:
features = ['frame.interface_id', 'frame.dlt', 'frame.offset_shift', 'frame.time_epoch', 'frame.time_delta', 'frame.time_delta_displayed', 'frame.time_relative', 'frame.len', 'frame.cap_len', 'frame.marked', 'frame.ignored', 'radiotap.version', 'radiotap.pad', 'radiotap.length', 'radiotap.present.tsft', 'radiotap.present.flags', 'radiotap.present.rate', 'radiotap.present.channel', 'radiotap.present.fhss', 'radiotap.present.dbm_antsignal', ...
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