A Cognitive Cyber Threat Intelligence: Harnessing the Power of Big Data Analytics for Advanced Cyber Security

Abstract

Cyber Threat Intelligence (CTI) is the process of collecting, analyzing, and utilizing information about
potential cyber threats to an organization. The goal of CTI is to provide organizations with the knowledge
and understanding, it needs to prevent, detect, and respond to cyber attacks. CTI involves collecting and
analyzing data from a variety of sources, including Open-Source Intelligence (OSINT), social media, and
specialized intelligence feeds. The data is then used to create a comprehensive view of the current threat
landscape, including information on the Tactics, Techniques, and Procedures (TTPs) used by attackers, as
well as the types of attacks and vulnerabilities that are most exploited. This research paper proposes a
novel approach to CTI by leveraging the power of big data analytics. The proposed approach, called
CogCyber, a Cognitive Cyber Threat Intelligence (CCTI), integrates machine learning and natural language
processing techniques to collect, analyze, and visualize massive amounts of structured and unstructured
data from various sources, including social media, forums, blogs, news feeds, and dark web. By analyzing
and correlating this data, CCTI can provide more accurate and timely threat intelligence, identify
emerging threats, and support proactive defense strategies. The paper presents a detailed architecture of
the CCTI framework, including data collection, pre-processing, feature extraction, modelling, and
visualization. The effectiveness of the proposed approach is evaluated through a series of experiments on
real-world datasets, demonstrating significant improvements in threat detection and response. This
research contributes to the development of advanced Cyber security solutions that can cope with the
growing complexity and sophistication of modern cyber threats. Organizations can use this information to
improve their overall security posture, prioritize security investments, and respond more effectively to
threats. Hence, this work proposes an integrated CTI architecture which can also be used to develop
proactive defense strategies and enhance incident response capabilities, helping organizations to better
manage the risks posed by cyber threats