Artificial Intelligence outflanks all other machine learning classifiers in Network Intrusion Detection System on the realistic cyber dataset CSE-CIC-IDS2018 using cloud computing

Author:

Kanimozhi V.,Jacob T. Prem

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference8 articles.

1. Przemyslaw Kazienko, . Dorosz, Intrusion Detection Systems IDS) Part I - (network intrusions; attack symptoms; IDS tasks; and IDS architecture).

2. Compression analytics for classification and anomaly detection within network communication;Ting;IEEE Trans. Inf. Forensics Secur.,2018

3. Internetattacks and intrusion detection system: A review of the iterature;Singh;Online Inform. Rev.,2017

4. Network Traffic Anomaly Detection and Prevention;Bhuyan,2017

5. Iman Sharafaldin, . ArashHabibiLashkari, Ali A. Ghorbani, Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018.

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