Prediction of Adversary’s TTP using Caldera
Diana Arulkumar1, Kartheeban. K.2
1Diana Arulkumar, Department of Computer Science, Karunya Institute of Technology and Science, Coimbatore (Tamil Nadu), India.
2Kartheeban. K, Department of Computer Science, Kalasalingam Academy of Research and Education, Srivilliputtur (Tamil Nadu), India.
Manuscript received on 07 December 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 758-765 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B11151292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1115.1292S219
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Due to the ubiquity of the internet in all the lines of the disciplines, cyber security becomes essential in day to day life. To make the cyber assets resilient from the challenging attacks like Advanced Persistent Threats (APT), the experts needs a strategic rules and proactive decision-making models The Caldera is a adversarial emulator for both blue and red team to test the APT along with the cyber kill chain(CKC).The resilience could be achieved when the blue team and red team work together in analyzing the cyber threats based on the probabilistic of creating adversarial profile with different characteristic helps in finding the priority of the assets of the organization from the point of an adversary in launching the cyber -attack.
Keywords: Adversarial Emulator, Advanced Persistent Threats (APT), Cyber Kill Chain(CKC), Caledra, Cyber-Attack.
Scope of the Article: Regression and Prediction