Arun Lakhotia I am a full time Professor in the department of Computer Science, University at Louisiana, Lafayette, USA. I earned my Ph.D. degree in Computer Science from the Case Western Reserve University in 1990.

My research interests are malware analysis and autonomous vehicles
Links: DBLP, Google Scholar

Binary Analysis in Polymorphic Malware Detection session at ISSISP 2016

Analysis of malware introduces new challenges that are not present when analyzing programs in the normal context. Besides the fact that the programs are in a binary form, they are explicitly created to defeat analysis by hiding behind undecidability. Nonetheless, I will show that program analysis methods can indeed be used to answer a variety of questions related to malware. For instance, by relaxing the requirements of safety one can use program analysis to provide semantics based “features” to a machine learner. Similarity analysis is a key tool for understanding and querying big-data of code, in particular in the context of malware analysis and mitigation. We will provide an end-to-end experience in analyzing malware binaries, extracting semantics features, and using those in a machine learner to find similar malware in a repository. We will use these hands-on exercises to also highlight opportunities and challenges for further research, and introduce you to the state-of-the-art technologies to get started.