activity
20162023
most citedPractical Approaches Towards Deep-Learning Based Cross-Device Power Side Channel Attack

78 citations · 378 across the 35 of their papers we have counts for

collaborators

35 papers

cs.CR2023

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…

eess.SP2022★ 2 cited

Sub-1ms Instinctual Interference Adaptive GaN LNA Front-End with Power and Linearity Tuning

Jie Yang, Baibhab Chatterjee, Mohammad Abu Khater +4

One of the major challenges in communication, radar, and electronic warfare receivers arises from nearby device interference. The paper presents a 2-6 GHz GaN LNA front-end with on…

q-bio.NC2022

TD-BPQBC: A 1.8μW 5.5mm3 ADC-less Neural Implant SoC utilizing 13.2pJ/Sample Time-domain Bi-phasic Quasi-static Brain Communication

Baibhab Chatterjee, K Gaurav Kumar, Shulan Xiao +3

Untethered miniaturized wireless neural sensor nodes with data transmission and energy harvesting capabilities call for circuit and system-level innovations to enable ultra-low ene…

q-bio.NC2022

Bi-Phasic Quasistatic Brain Communication for Fully Untethered Connected Brain Implants

Baibhab Chatterjee, Mayukh Nath, Gaurav Kumar K +3

Wireless communication using electro-magnetic (EM) fields acts as the backbone for information exchange among wearable devices around the human body. However, for Implanted devices…

eess.SP2022★ 8 cited

Channel Modeling for Physically Secure Electro-Quasistatic In-Body to Out-of-Body Communication with Galvanic Tx and Multimodal Rx

Arunashish Datta, Mayukh Nath, Baibhab Chatterjee +2

Increasing number of devices being used in and around the human body has resulted in the exploration of the human body as a communication medium. In this paper, we design a channel…

eess.SP2022★ 7 cited

A Quantitative Analysis of Physical Security and Path Loss With Frequency for IBOB Channel

Arunashish Datta, Mayukh Nath, Baibhab Chatterjee +2

Security vulnerabilities demonstrated in implantable medical devices have opened the door for research into physically secure and low power communication methodologies. In this stu…

cs.NI2021

EICO: Energy-Harvesting Long-Range Environmental Sensor Nodes with Energy-Information Dynamic Co-Optimization

Shitij Avlani, Donghyun Seo, Baibhab Chatterjee +1

Intensive research on energy harvested sensor nodes with traditional battery powered devices has been driven by the challenges in achieving the stringent design goals of battery li…

eess.SP2021★ 3 cited

A mmWave Oscillator Design Utilizing High-Q Active-Mode On-Chip MEMS Resonators for Improved Fundamental Limits of Phase Noise

Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat +3

(RFT) allows very high-Q active mode resonators, promising crystal-less monolithic clock generation for mmWave systems. However, there is a strong need for design of mmWave oscilla…

eess.SY2021★ 1 cited

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link

Gaurav Kumar K, Baibhab Chatterjee, Shreyas Sen

In the last decade, the growing influence of open source software has necessitated the need to reduce the abstraction levels in hardware design. Open source hardware significantly…

cs.CR2020★ 5 cited

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…

eess.SY2020★ 1 cited

A Wearable CMOS Biosensor with 3 Designs of Energy-Resolution Scalable Time-Based Resistance to Digital Converter

Dong-Hyun Seo, Baibhab Chatterjee, Sean Scott +3

This paper presents the design and analysis of a wearable CMOS biosensor with three different designs of energy-resolution scalable time-based resistance to digital converters (RDC…

eess.SY2020★ 3 cited

In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables

Parikha Mehrotra, David Yang, Scott Weigand +1

The emergence of Human Body Communication (HBC) as an alternative to wireless body area networks (WBAN) has led to the development of small sized, energy efficient and more secure…

eess.SP2020

Understanding The Role of Magnetic and Magneto-Quasistatic Fields in Human Body Communication

Mayukh Nath, Alfred Krister Ulvog, Scott Weigand +1

With the advent of wearable technologies, Human Body Communication (HBC) has emerged as a physically secure and power-efficient alternative to the otherwise ubiquitous Wireless Bod…

eess.SP2020★ 55 cited

Advanced Biophysical Model to Capture Channel Variability for EQS Capacitive HBC

Arunashish Datta, Mayukh Nath, David Yang +1

Human Body Communication (HBC) has come up as a promising alternative to traditional radio frequency (RF) Wireless Body Area Network (WBAN) technologies. This is essentially due to…

eess.SP2020★ 1 cited

Analysis and Design Considerations for Achieving the Fundamental Limits of Phase Noise in mmWave Oscillators with On-Chip MEMS Resonator

Abhishek Srivastava, Baibhab Chatterjee, Udit Rawat +3

Very small electromechanical coupling coefficient in micro-electromechanical systems (MEMS) or acoustic resonators is quite of a concern for oscillator performance, specially at mm…

eess.SP2020★ 1 cited

Electro-Quasistatic Animal Body Communication for Chronic Untethered Rodent Biopotential Recording

Shreeya Sriram, Shitij Avlani, Matthew P Ward +1

Continuous multi-channel monitoring of biopotential signals is vital in understanding the body as a whole, facilitating accurate models and predictions in neural research. The curr…

cs.NI2020★ 2 cited

Context-Aware Collaborative-Intelligence with Spatio-Temporal In-Sensor-Analytics in a Large-Area IoT Testbed

Baibhab Chatterjee, Dong-Hyun Seo, Shramana Chakraborty +10

Decades of continuous scaling has reduced the energy of unit computing to virtually zero, while energy-efficient communication has remained the primary bottleneck in achieving full…

eess.SP2020

Theoretical Analysis of Multi Integrating RX Front-Ends for Lossy Broad-Band Channels

Antroy Roy Chowdhury, Shovan Maity, Shreyas Sen

In this paper, we present a theoretical analysis of different integrating front-ends employed in broad-band communications through \textit{lossy} channels. Time-domain receivers fo…

eess.SP2020★ 39 cited

Inter-Body Coupling in Electro-Quasistatic Human Body Communication: Theory and Analysis of Security and Interference Properties

Mayukh Nath, Shovan Maity, Shitij Avlani +2

Radiative communication using electromagnetic fields is the backbone of today's wirelessly connected world, which implies that the physical signals are available for malicious inte…

cs.CR2020★ 2 cited

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…

cs.CR2019★ 3 cited

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…

eess.SP2019★ 78 cited

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-…

cs.HC2018★ 1 cited

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…

cs.CR2018★ 31 cited

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…