Publications (27)
A Next-Generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM, and MIRI Observations
Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan +3
The advent of JWST has marked a new era in exoplanetary atmospheric studies, offering higher-resolution data and greater precision across a broader spectral range than previous spa…
Exploring extreme thermodynamics in nanoliter volumes through stimulated Brillouin-Mandelstam scattering
Andreas Geilen, Alexandra Popp, Debayan Das +6
Examining the physical properties of materials - particularly of toxic liquids - under a wide range of thermodynamic states is a challenging problem due to the extreme conditions t…
Topological Quenching of Noise in a Free-Running Moebius Microcomb
Debayan Das, Antonio Cutrona, Andrew C. Cooper +10
Microcombs require ultralow-noise repetition rates to enable next-generation applications in metrology, high-speed communications, microwave photonics, and sensing, where spectral…
R-STELLAR: A Resilient Synthesizable Signature Attenuation SCA Protection on AES-256 with built-in Attack-on-Countermeasure Detection
Archisman Ghosh, Dong-Hyun Seo, Debayan Das +2
Side channel attacks (SCAs) remain a significant threat to the security of cryptographic systems in modern embedded devices. Even mathematically secure cryptographic algorithms, wh…
Wearable Health Monitoring Using Capacitive Voltage-Mode Human Body Communication
Shovan Maity, Debayan Das, Shreyas Sen
Rapid miniaturization and cost reduction of computing, along with the availability of wearable and implantable physiological sensors have led to the growth of human Body Area Netwo…
A Voice-based Triage for Type 2 Diabetes using a Conversational Virtual Assistant in the Home Environment
Kelvin Summoogum, Debayan Das, Sathish Kumaran +1
Incorporating cloud technology with Internet of Medical Things for ubiquitous healthcare has seen many successful applications in the last decade with the advent of machine learnin…
SNOW-SCA: ML-assisted Side-Channel Attack on SNOW-V
Harshit Saurabh, Anupam Golder, Samarth Shivakumar Titti +4
This paper presents SNOW-SCA, the first power side-channel analysis (SCA) attack of a 5G mobile communication security standard candidate, SNOW-V, running on a 32-bit ARM Cortex-M4…
A 334W 0.158mm ASIC for Post-Quantum Key-Encapsulation Mechanism Saber with Low-latency Striding Toom-Cook Multiplication Authors Version
Archisman Ghosh, Jose Maria Bermudo Mera, Angshuman Karmakar +4
The hard mathematical problems that assure the security of our current public-key cryptography (RSA, ECC) are broken if and when a quantum computer appears rendering them ineffecti…
In-field Remote Fingerprint Authentication using Human Body Communication and On-Hub Analytics
Debayan Das, Shovan Maity, Baibhab Chatterjee +1
In this emerging data-driven world, secure and ubiquitous authentication mechanisms are necessary prior to any confidential information delivery. Biometric authentication has been…
From the Two-Capacitor Paradox to Electromagnetic Side-Channel Mitigation in Digital Circuits
Raghvendra Pratap Singh, Baibhab Chatterjee, Shreyas Sen +1
The classical two-capacitor paradox of the lost energy is revisited from an electronic circuit security stand-point. The paradox has been solved previously by various researchers,…
SlimEdge: Performance and Device Aware Distributed DNN Deployment on Resource-Constrained Edge Hardware
Mahadev Sunil Kumar, Arnab Raha, Debayan Das +3
Distributed deep neural networks (DNNs) have become central to modern computer vision, yet their deployment on resource-constrained edge devices remains hindered by substantial par…
Machine Learning Power Side-Channel Attack on SNOW-V
Deepak, Rahul Balout, Anupam Golder +3
This paper demonstrates a power analysis-based Side-Channel Analysis (SCA) attack on the SNOW-V encryption algorithm, which is a 5G mobile communication security standard candidate…
Millimetre-Wave Comb Generated by an Optical Microcomb
Luke Peters, Antonio Cutrona, Andrew R. Cooper +13
Metrological-grade millimetre wave baseband comb sources covering the subterahertz window are a key building block for next-generation wireless communications, precision sensing, a…
A Fast, Parallelized, GPU-Accelerated Photochemical Model, XODIAC, with Built-in Equilibrium Chemistry and Multiple Chemical Networks for Exoplanetary Atmospheres
Priyankush Ghosh, Sambit Mishra, Shubham Dey +3
The launch of the James Webb Space Telescope (JWST) has delivered high-quality atmospheric observations and expanded the known chemical inventory of exoplanetary atmospheres, openi…
A 333.9uW 0.158mm Saber Learning with Rounding based Post-Quantum Crypto Accelerator
Archisman Ghosh, J. M. B. Mera, Angshuman Karmakar +4
National Institute of Standard & Technology (NIST) is currently running a multi-year-long standardization procedure to select quantum-safe or post-quantum cryptographic schemes to…
RF-PUF: IoT Security Enhancement through Authentication of Wireless Nodes using In-situ Machine Learning
Baibhab Chatterjee, Debayan Das, Shreyas Sen
Physical unclonable functions (PUF) in silicon exploit die-to-die manufacturing variations during fabrication for uniquely identifying each die. Since it is practically a hard prob…
Practical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack
Anupam Golder, Debayan Das, Josef Danial +3
Power side-channel analysis (SCA) has been of immense interest to most embedded designers to evaluate the physical security of the system. This work presents profiling-based cross-…
BioPhysical Modeling, Characterization and Optimization of Electro-Quasistatic Human Body Communication
Shovan Maity, Mingxuan He, Mayukh Nath +3
Human Body Communication (HBC) has emerged as an alternative to radio wave communication for connecting low power, miniaturized wearable and implantable devices in, on and around t…
A Next-Generation Exoplanet Atmospheric Retrieval Framework NEXOTRANS for Emission Spectroscopy: New Constraints and Atmospheric Characterization of WASP-69b Using JWST NIRCam and MIRI Observations
Tonmoy Deka, Liton Majumdar, Tasneem Basra Khan +4
Thermal emission spectra provide key insights into the atmospheric composition and especially the temperature structure of an exoplanet. With broader wavelength coverage, sensitivi…
Physical Time-Varying Transfer Functions as Generic Low-Overhead Power-SCA Countermeasure
Archisman Ghosh, Debayan Das, Shreyas Sen
Mathematically-secure cryptographic algorithms leak significant side channel information through their power supplies when implemented on a physical platform. These side channel le…
SCNIFFER: Low-Cost, Automated, Efficient Electromagnetic Side-Channel Sniffing
Josef Danial, Debayan Das, Santosh Ghosh +2
Electromagnetic (EM) side-channel analysis (SCA) is a prominent tool to break mathematically-secure cryptographic engines, especially on resource-constrained IoT devices. Presently…
Characterization and Classification of Human Body Channel as a function of Excitation and Termination Modalities
Shovan Maity, Debayan Das, Baibhab Chatterjee +1
Human Body Communication (HBC) has recently emerged as an alternative to radio frequency transmission for connecting devices on and in the human body with order(s) of magnitude low…
A Gait Triaging Toolkit for Overlapping Acoustic Events in Indoor Environments
Kelvin Summoogum, Debayan Das, Parvati Jayakumar
Gait has been used in clinical and healthcare applications to assess the physical and cognitive health of older adults. Acoustic based gait detection is a promising approach to col…
High Efficiency Power Side-Channel Attack Immunity using Noise Injection in Attenuated Signature Domain
Debayan Das, Shovan Maity, Saad Bin Nasir +3
With the advancement of technology in the last few decades, leading to the widespread availability of miniaturized sensors and internet-connected things (IoT), security of electron…
TYTAN: Taylor-series based Non-Linear Activation Engine for Deep Learning Accelerators
Soham Pramanik, Vimal William, Arnab Raha +3
The rapid advancement in AI architectures and the proliferation of AI-enabled systems have intensified the need for domain-specific architectures that enhance both the acceleration…
EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures
Josef Danial, Debayan Das, Anupam Golder +3
This work presents a Cross-device Deep-Learning based Electromagnetic (EM-X-DL) side-channel analysis (SCA), achieving >90% single-trace attack accuracy on AES-128, even in the pre…
RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning
Baibhab Chatterjee, Debayan Das, Shovan Maity +1
Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message au…