039 The Heisenbugs – Finding Collusion Among Malicious Entities Through Knowledge Graph – NODES2022

21 Nov, 2022

Life as a malware researcher (and security researcher in general) requires one to continuously develop the intuitive ability to see patterns, connections among seemingly unrelated entities. In this talk, we shall discuss how we can apply the concept of Knowledge Graph as a critical aid to solve a challenging technical scenario often faced by a security researcher. We can consider this scenario equivalent to an Asimovian Robot’s dilemma in taking a decision adhering to the “Laws of Robotics”. First Law: A robot may not injure a human being or, through inaction, allow a human being to come to harm. Second Law: A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. Third Law: A robot must protect its own existence as long as such protection does not conflict with the First or Second Law. If a Robot can not reason an intended action’s precedence according to three laws, it would go into an unstable mode (“Brain Freeze”) and cease to operate. Sometimes, this kind of scenario is also common in analyzing a malware in silo. In this talk, we shall see how we can build a graph database schema from the scratch that is relevant to the cross platform executables (Android, macOS, Linux, Windows) and build a knowledge graph organically through automation and manual analysis results that can provide answers to the researchers at the right time with right directions without the need for the researchers to explicitly ask for it. Afterall, with the proliferation of data, the answers are everywhere, it’s all about asking the right questions. Speakers: Dinesh Venkatesan Format: Full Session 30-45 min Level: Advanced Topics: #KnowledgeGraph, #GraphDataScience, #Visualization, #Financial, #General, #Advanced Region: APAC Visit https://neo4j.com/nodes-2022 learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com

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