Aleksandar Kiridzic
Aleksandar Kiridzic is a Principal Machine Learning Engineer at Tenderly. Prior to joining Tenderly and continuing his career in Web3, Aleksandar worked for Microsoft and Google in various roles, mostly focusing on ML functions and computer vision.
He holds an MSc in Electrical Engineering and Computer Science, and is currently pursuing a PhD degree in machine learning, with a focus on graph neural networks.
Aleksandar's passion for crunching numbers led him into the fields of statistics, data science and machine learning.
Tenderly
Session
The talk explores an intelligence-based transaction analysis model within the Ethereum Virtual Machine (EVM), providing insights into transaction behaviors and security threats. Designed to enhance transaction processing capabilities, the model leverages machine learning, a unique approach, and specialized data sets to fortify security intelligence.
By identifying and highlighting known malicious behaviors and exploit patterns, the approach aims to effectively mitigate security risks. Operating in two distinct modes, it offers real-time analysis for immediate threat detection and on-demand processing for in-depth investigation. The core strength lies in systematically storing generated intelligence in a dedicated database, enabling efficient retrieval and analysis.
We will present the applications of each mode, from historical data enrichment to smart simulations, and their implications for enhancing Ethereum's security ecosystem.