We evaluate with traditional approaches and conduct a human evaluation study with cybersecurity professionals and threat hunters.
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic.
Internet of Things is a revolutionary domain that has the caliber to impact our lives and bring significant changes to the world.
Cloud Infrastructure as a Service (IaaS) is vulnerable to malware due to its exposure to external adversaries, making it a lucrative attack vector for malicious actors.
A cybersecurity knowledge graph can be paramount in aiding a security analyst to detect cyber threats because it stores a vast range of cyber threat information in the form of semantic triples which can be queried.
It uses multiple knowledge representations like, vector spaces and knowledge graphs in a 'VKG structure' to store incoming intelligence.
We represent and store this threat intelligence, along with the software dependencies in a security knowledge graph.
We create a neural network based system that takes in cybersecurity data in a different language and outputs the respective English translation.
Knowledge graphs and vector space models are robust knowledge representation techniques with individual strengths and weaknesses.
Vehicles are becoming more and more connected, this opens up a larger attack surface which not only affects the passengers inside vehicles, but also people around them.