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This model was fine-tuned for classifying a network packet into one of the below categories. For details about the dataset used, visit here.

['Analysis',
 'Backdoor',
 'Bot',
 'DDoS',
 'DoS',
 'DoS GoldenEye',
 'DoS Hulk',
 'DoS SlowHTTPTest',
 'DoS Slowloris',
 'Exploits',
 'FTP Patator',
 'Fuzzers',
 'Generic',
 'Heartbleed',
 'Infiltration',
 'Normal',
 'Port Scan',
 'Reconnaissance',
 'SSH Patator',
 'Shellcode',
 'Web Attack - Brute Force',
 'Web Attack - SQL Injection',
 'Web Attack - XSS',
 'Worms']
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Dataset used to train rdpahalavan/bert-network-packet-flow-header-payload