Research on Various Datasets Static and Dynamic Datasets

Research on various Real-Time Datsets

The datasources which were chosen was based on thorough discussion and based on real-world test cases. The following figure displays the various datasets initially which had been gone through by the team in order to understand which would be appropriate to work and carry out further analysis on the selected dataset.

Following are some good datasources for reference as well which the team up with during brainstorming on various datasets for analyzing using DNIF Platform:

1. https://www.kaggle.com/hackerrank/developer-survey-2018/data
2. http://www.gstatic.com/ddos-viz/attacks_v2.json
3. https://www.fireeye.com/cyber-map/threat-map.html
4. http://threats.kaspersky.com/en/vulnerability/
5. https://www.shadowserver.org/wiki/pmwiki.php/AV/VirusDailyStats
6. https://www.caida.org/data/realtime/telescope/?monitor=telescope_attack
7. https://www.symantec.com/security-center/threats
8. https://blackhat.directory/statistics
9. http://www.malwaredomainlist.com/hostslist/zeus.xml
10. http://sanyalnet-cloud-vps.freeddns.org/mirai-ips.txt
11. https://secure.dshield.org/ipsascii.html
12. https://isc.sans.edu/api/
    
13. http://www.webiron.com/abuse_feed/
14. https://github.com/dnif/lookup-virustotal

Upon discussion, we were able to understand that upon multiple types of attacks in the present cyberworld, brute-force attacks/dictionary attacks are one of the most troublesome and most puny attacks in front of the cyberworld.

Hence, we have chosen the database: http://bruteforcers.net as our database. This datasource simply provides us data based on the bruteforce attacks which have been made to the specific network. Following is a screenshot showing the dataset