A Novel System Model for Managing Cyber Threat Intelligence
Suresh Dannana, T. Prabakaran, Arun Sekar Rajasekaran, N. Kumareshan, S. Finney Daniel Shadrach, P Kalyan Chakravarthi · 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) · 2022
Cyber threat intelligence (CTI) systems, which collect CTI statistics since publically accessible resources, have been the subject of much study as a means of mitigating the ever-evolving cyber dangers. Due to the ever-increasing sophistication and persistence of cyber attackers, as well as the lightning-fast pace at which cyber assaults develop, quick decision making is now crucial to the sustained security of most companies. As a result, several businesses have started using threat intelligence management systems to better coordinate their defences against cyber threats and those of other companies. Getting a handle on how these platforms should be built, deployed, and utilised requires first knowing how successful they have been in the past. However, a lack of consensus on what aspects affect the performance of threat intelligence management systems exists between academia and industry. We used a review entrenched methodology to gather data from 152 security experts in order to empirically evaluate the concerns. Then, we determined a few variables that are critical to the effectiveness of management platform inside an organisation.