Advanced driver-assistance systems: A path toward autonomous vehicles VK Kukkala, J Tunnell, S Pasricha, T Bradley IEEE Consumer Electronics Magazine 7 (5), 18-25, 2018 | 419 | 2018 |
Roadmap for cybersecurity in autonomous vehicles VK Kukkala, SV Thiruloga, S Pasricha IEEE Consumer Electronics Magazine 11 (6), 13-23, 2022 | 69 | 2022 |
INDRA: Intrusion detection using recurrent autoencoders in automotive embedded systems VK Kukkala, SV Thiruloga, S Pasricha IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 66 | 2020 |
LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms VK Kukkala, SV Thiruloga, S Pasricha ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-23, 2021 | 44 | 2021 |
TENET: Temporal CNN with attention for anomaly detection in automotive cyber-physical systems SV Thiruloga, VK Kukkala, S Pasricha 2022 27th Asia and South Pacific design automation conference (ASP-DAC), 326-331, 2022 | 42 | 2022 |
SEDAN: Security-aware design of time-critical automotive networks VK Kukkala, S Pasricha, T Bradley IEEE Transactions on Vehicular Technology 69 (8), 9017-9030, 2020 | 30 | 2020 |
JAMS: Jitter-aware message scheduling for FlexRay automotive networks VK Kukkala, S Pasricha, T Bradley Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on …, 2017 | 16 | 2017 |
JAMS-SG: A framework for jitter-aware message scheduling for time-triggered automotive networks VK Kukkala, S Pasricha, T Bradley ACM Transactions on Design Automation of Electronic Systems (TODAES) 24 (6 …, 2019 | 14 | 2019 |
Colorado state university EcoCAR 3 final technical report GC DiDomenico, J Bair, VK Kukkala, J Tunnell, M Peyfuss, M Kraus, J Ax, ... SAE Technical Paper, 2019 | 12 | 2019 |
Uncertainty analysis and propagation for an auxiliary power module VK Kukkala, TH Bradley, S Pasricha 2017 IEEE Transportation Electrification Conference and Expo (ITEC), 164-168, 2017 | 9 | 2017 |
Priority-based multi-level monitoring of signal integrity in a distributed powertrain control system VK Kukkala, TH Bradley, S Pasricha IFAC-PapersOnLine 48 (15), 462-469, 2015 | 9 | 2015 |
Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems VK Kukkala, S Pasricha Springer Nature, 2023 | 3 | 2023 |
AI for cybersecurity in distributed automotive IoT systems VK Kukkala, SV Thiruloga, S Pasricha Frontiers of Quality Electronic Design (QED) AI, IoT and Hardware Security …, 2023 | 2 | 2023 |
Machine Learning for Anomaly Detection in Automotive Cyber-Physical Systems VK Kukkala, SV Thiruloga, S Pasricha Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use …, 2023 | 1 | 2023 |
System and method for predicting power usage of network components H Kuno, A Davis, T Wilde, DW Dauwe, D Roweth, RD Menhusen, ... US Patent 11,644,882, 2023 | 1 | 2023 |
Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems SV Thiruloga, VK Kukkala, S Pasricha Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | | 2023 |
Reliable Real-Time Message Scheduling in Automotive Cyber-Physical Systems VK Kukkala, T Bradley, S Pasricha Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | | 2023 |
Stacked LSTM Based Anomaly Detection in Time-Critical Automotive Networks VK Kukkala, SV Thiruloga, S Pasricha Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | | 2023 |
Security-Aware Design of Time-Critical Automotive Cyber-Physical Systems VK Kukkala, T Bradley, S Pasricha Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | | 2023 |
Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders VK Kukkala, SV Thiruloga, S Pasricha Machine Learning and Optimization Techniques for Automotive Cyber-Physical …, 2023 | | 2023 |