A DATASET AT A GLANCE...

Network security is utmost essential to ensure data confidentiality, data integrity and to prevent data breaches or network attacks across various network infrastructures, hardware and software entities. The increase in the use of mobile devices, cloud-based services and Internet of Things (IoT), along with no security awareness, can be quoted as the key reasons for the rise in network threats. Various researchers have put forth various security control measures to handle these threats such as, employing novel data encryption approaches or installing firewalls, highly-secure intrusion detection systems and antivirus software. Researchers tempting to contribute in the broader area of network security can use the UNSW-NB15 Dataset from the Intelligent Security Group, UNSW Canberra, Australia. This dataset, being created by Dr. Nour Moustafa and Dr. Jill Slay, is freely available for download to aid academic research on network security from https://research.unsw.edu.au/projects/unsw-nb15-dataset. The researchers can use this dataset to detect nine classes of security attacks, namely, Backdoors, Fuzzers, Exploits, Reconnaissance, DoS, Shellcode, Generic, Analysis and Worms. Moreover, this dataset holds about two million and 540,044 records, along with the ground truth table. However, to publicly avail the dataset or to use it in research, citation request for five articles authored by the creator of the dataset is mandatory. The website also holds articles, dealing with approaches for intrusion detection, privacy preservation network forensics and threat intelligence in different systems like, Network Systems, Internet of Things (IoT), SCADA, Industrial IoT and Industry 4.0 to aid the researchers in their comparative study.