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Pranesh Santikellur
Pranesh Santikellur
Researcher, Technology Innovation Institute, Abu Dhabi, UAE
Verified email at tii.ae - Homepage
Title
Cited by
Cited by
Year
Deep learning based model building attacks on arbiter PUF compositions
P Santikellur, A Bhattacharyay, RS Chakraborty
Cryptology ePrint Archive, 2019
1092019
A computationally efficient tensor regression network-based modeling attack on XOR arbiter PUF and its variants
P Santikellur, RS Chakraborty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
362020
A hardware trojan attack on FPGA-based cryptographic key generation: impact and detection
V Govindan, RS Chakraborty, P Santikellur, AK Chaudhary
Journal of Hardware and Systems Security 2, 225-239, 2018
162018
Optimized multi-layer hierarchical network intrusion detection system with genetic algorithms
P Santikellur, T Haque, M Al-Zewairi, RS Chakraborty
2019 2nd International Conference on new Trends in Computing Sciences (ICTCS …, 2019
122019
A computationally efficient tensor regression network based modeling attack on XOR APUF
P Santikellur, SR Prakash, RS Chakraborty
2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2019
102019
Correlation integral-based intrinsic dimension: A deep-learning-assisted empirical metric to estimate the robustness of physically unclonable functions to modeling attacks
P Santikellur, RS Chakraborty
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
62021
Design of a chaotic oscillator based model building attack resistant arbiter PUF
VS Balijabudda, D Thapar, P Santikellur, RS Chakraborty, I Chakrabarti
2019 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2019
52019
A shared page-aware machine learning assisted method for predicting and improving multi-level cell NAND flash memory life expectancy
P Santikellur, M Buddhanoy, S Sakib, B Ray, RS Chakraborty
Microelectronics Reliability 140, 114867, 2023
42023
A conditionally chaotic physically unclonable function design framework with high reliability
S Chattopadhyay, P Santikellur, RS Chakraborty, J Mathew, M Ottavi
ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021
42021
United we stand: A threshold signature scheme for identifying outliers in PLCs
U Chatterjee, P Santikellur, R Sadhukhan, V Govindan, D Mukhopadhyay, ...
Proceedings of the 56th Annual Design Automation Conference 2019, 1-2, 2019
32019
Modeling of APUF compositions
P Santikellur, A Bhattacharyay, RS Chakraborty
32018
Introduction to machine learning for hardware security
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
22022
Hardware IP protection using register transfer level locking and obfuscation of control and data flow
P Santikellur, RS Chakraborty, S Bhunia
Behavioral Synthesis for Hardware Security, 57-69, 2021
22021
APUF-BNN: An Automated Framework for Efficient Combinational Logic Based Implementation of Arbiter PUF through Binarized Neural Network
P Santikellur, R Mukherjee, RS Chakraborty
Proceedings of the 2021 on Great Lakes Symposium on VLSI, 89-94, 2021
12021
Boosted PUF: Boosting Efficiency and Resilience in Configurable RO PUF for IoT Devices
E Abulibdeh, H Saleh, B Mohammad, M Al-Qutayri, P Santikellur
Authorea Preprints, 2024
2024
Modeling Attacks on PUF
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
2022
Physically Unclonable Functions
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
2022
Improved Modeling Attack on PUFs based on Tensor Regression Network
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
2022
Machine-Learning Basics
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
2022
Combinational Logic-Based Implementation of PUF
P Santikellur, RS Chakraborty
Deep Learning for Computational Problems in Hardware Security: Modeling …, 2022
2022
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