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Anirudh Iyengar

dblp:145/9307 · also Anirudh Srikant Iyengar · DBLP profile ↗
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9ranked-venue papers
3as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 9 · 3 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Hardware security and side channels · 100%
Computer architecture, parallel and distributed computing, and storage systems
2 papers
Memory systems · 70% Integrated circuit design · 16% Hardware reliability and fault tolerance · 7%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware security and side channels › hardware obfuscation
integrated circuit camouflaging
0.412020
Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020
Hardware security and side channels › intellectual property protection
reverse engineering protection
0.412020
Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020
Memory systems › on-chip memory
embedded memory
0.212014
Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory · DAC 2014
Memory systems
non-volatile memory
0.212014
Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory · DAC 2014
Memory systems › emerging memory technologies › spintronic memory
racetrack memory
0.212014
Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory · DAC 2014
Integrated circuit design › digital circuit design
logic gate design
0.112020
Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2020
Energy-efficient computing › memory energy efficiency
low-power memory
0.112014
Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory · DAC 2014
Hardware reliability and fault tolerance
process variation
0.112014
Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory · DAC 2014

Methods — techniques the papers use, named apart from their topics

threshold voltage modulation · 0.9pass transistor mux · 0.9physics-based modeling · 0.2circuit simulation · 0.2
YearPublicationVenuePosition
2020 Threshold-Defined Logic and Interconnect for Protection Against Reverse Engineering
abstract
Securing the intellectual property (IP) from counterfeiting is an important goal toward trustworthy computing. Camouflaging of logic gates is a well-known technique to prevent an adversary from de-layering the chip and stealing IP. In this paper, we propose threshold voltage modulation to realize 2-input static camouflaged logic that can hide six functionalities. We extend the concept of threshold-voltage defined logic to propose multi-input camouflaged gates capable of hiding six 3-input Boolean functions (NAND, NOR, AOI, OAI, XOR, and XNOR). We also propose interconnect camouflaging technique which hides the original connectivity of nets using a novel threshold-voltage defined pass transistor mux. Since threshold voltages are asserted during fabrication and are difficult to identify during optical reverse engineering (RE)-based techniques, the adversary will be forced to launch a brute-force search. We present a thorough analysis of RE effort and overheads associated with the proposed camouflaging techniques. The proposed methodology is demonstrated using fabricated test-chip in 65 nm technology.
Jae-Won Jang, Asmit De, Deepak Vontela, Ithihasa Reddy Nirmala, Swaroop Ghosh, Anirudh Iyengar
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.6
2018 Threshold Defined Camouflaged Gates in 65nm Technology for Reverse Engineering Protection
abstract
Due to the ever-increasing threat of Reverse Engineering (RE) of Intellectual Property (IP) for malicious gains, camouflaging of logic gates is becoming very important. In this paper, we present experimental demonstration of transistor threshold voltage-defined switch [2] based camouflaged logic gates that can hide six logic functionalities i.e. NAND, AND, NOR, OR, XOR and XNOR. The proposed gates can be used to design the IP, forcing an adversary to perform brute-force guess-and-verify of the underlying functionality---increasing the RE effort. We propose two flavors of camouflaging, one employing only a pass transistor (NMOS-switch) and the other utilizing a full pass transistor (CMOS-switch). The camouflaged gates are used to design Ring-Oscillators (RO) in ST 65nm technology, one for each functionality, on which we have performed temperature, voltage, and process-variation analysis. We observe that CMOS-switch based camouflaged gate offers a higher performance (~1.5-8X better) than NMOS-switch based gate at an added area cost of only 5%. The proposed gates show functionality till 0.65V. We are also able to reclaim lost performance by dynamically changing the switch gate voltage and show that robust operation can be achieved at lower voltage and under temperature fluctuation.
Anirudh Iyengar, Deepak Vontela, Ithihasa Reddy Nirmala, Swaroop Ghosh, Seyedhamidreza Motaman, Jae-Won Jang
ISLPED1
2018 Novel Magnetic Burn-In for Retention and Magnetic Tolerance Testing of STTRAM
Mohammad Nasim Imtiaz Khan, Anirudh Iyengar, Swaroop Ghosh
IEEE Trans. Very Large Scale Integr. Syst.2
2017 Novel magnetic burn-in for retention testing of STTRAM
abstract
Spin-Transfer Torque RAM (STTRAM) is an emerging Non-Volatile Memory (NVM) technology that has drawn significant attention due to complete elimination of bitcell leakage. However, it brings new challenges in characterizing the retention time of the array during test. Significant shift of retention time under static (process variation (PV)) and dynamic (voltage, temperature fluctuation) variability furthers this issue. In this paper, we propose a novel magnetic burn-in (MBI) test which can be implemented with minimal changes in the existing test flow to enable STTRAM retention testing at short test time. The magnetic burn-in is also combined with thermal burn-in (MBI−BI) for further compression of retention and test time. Simulation results indicate MBI with 220Oe (at 25C) can improve the test time by 3.71×1013X while MBI−BI with 220Oe at 125C can improve the test time by 1.97×1014X.
Mohammad Nasim Imtiaz Khan, Anirudh Iyengar, Swaroop Ghosh
DATE2
2016 Data privacy in non-volatile cache: Challenges, attack models and solutions
abstract
Spin-Transfer-Torque RAM (STTRAM) is considered to be a strong candidate for last level cache (LLC). Although promising STTRAM LLC brings new security challenges that were absent in conventional volatile memories such as Static RAM (SRAM). The root cause is persistent data and the fundamental dependency of the memory technology on ambient parameters such as magnetic field and temperature that can be exploited to compromise the data. We provide a qualitative analysis of the data privacy issues in the emerging nonvolatile cache. We also propose new attack models to compromise the sensitive data in LLC. The encryption technique used to secure data in main memory and hard disk may not be useful for LLC due to latency overhead. We propose two low-overhead techniques to ensure data privacy in LLC- (a) implementing semi nonvolatile memory (SNVM); and, (b) data erasure at power OFF. Erasing could be energy intensive and may require dedicated battery to work under power failure attacks. To address this concern we reuse the energy stored in power rail after power OFF to erase the bits using a canary circuit to track MTJ write time. The simulation results show 0.6% IPC loss and 1.2% energy overhead during normal operation due to added circuitry.
Nitin Rathi, Swaroop Ghosh, Anirudh Iyengar, Helia Naeimi
ASP-DAC3
2016 A novel threshold voltage defined switch for circuit camouflaging
abstract
Semiconductor supply chain is increasingly getting exposed to variety of security attacks such as Trojan insertion, cloning, counterfeiting, reverse engineering (RE), piracy of Intellectual Property (IP) or Integrated Circuit (IC) and side-channel analysis due to involvement of untrusted parties. In this paper, we propose threshold voltage-defined switches that will camouflage the logic gate both logically and physically to resist RE and IP piracy. The proposed gate can function as NAND, AND, NOR, OR, XOR, and XNOR robustly using threshold defined switches. We also propose a flavor of camouflaged gate that represents reduced functionality (NAND, NOR and NOT) at much lower overhead. The camouflaged design operates at nominal voltage and obeys conventional reliability limits. A small fraction of gates can be camouflaged to increase the RE effort extremely high. Simulation results indicate 46-53% area, 59-68% delay and 52-76% power overhead when 5-15% gates are identified and camouflaged using the proposed gate. A significant higher RE effort is achieved when the proposed gate is employed in the netlist using controllability, observability and hamming distance sensitivity based gate selection metrics.
Ithihasa Reddy Nirmala, Deepak Vontela, Swaroop Ghosh, Anirudh Iyengar
ETS4
2016 Spintronic PUFs for Security, Trust, and Authentication
abstract
We propose spintronic physically unclonable functions (PUFs) to exploit security-specific properties of domain wall memory (DWM) for security, trust, and authentication. We note that the nonlinear dynamics of domain walls (DWs) in the physical magnetic system is an untapped source of entropy that can be leveraged for hardware security. The spatial and temporal randomness in the physical system is employed in conjunction with microscopic and macroscopic properties such as stochastic DW motion, stochastic pinning/depinning, and serial access to realize novel relay-PUF and memory-PUF designs. The proposed PUFs show promising results (∼50% interdie Hamming distance (HD) and 10% to 20% intradie HD) in terms of randomness, stability, and resistance to attacks. We have investigated noninvasive attacks, such as machine learning and magnetic field attack, and have assessed the PUFs resilience.
Anirudh Iyengar, Swaroop Ghosh, Kenneth Ramclam, Jae-Won Jang, Cheng-Wei Lin
ACM J. Emerg. Technol. Comput. Syst.1
2014 Modeling and Analysis of Domain Wall Dynamics for Robust and Low-Power Embedded Memory
abstract
Non-volatile memories are gaining significant attention for embedded cache application due to low standby power and excellent retention. Domain wall memory (DWM) is one possible candidate due to its ability to store multiple bits/cell in order to break the density barrier. Additionally, it provides low standby power, fast access time, good endurance and good retention. In this paper, we provide a physics-based model of domain wall that comprehends process variations (PV) and Joule heating. The proposed model has been used for circuit simulation. We also propose techniques to mitigate the impact of variability and Joule heating while enabling low-power and high frequency operation.
Anirudh Iyengar, Swaroop Ghosh
DAC1
2014 Synergistic circuit and system design for energy-efficient and robust domain wall caches
abstract
Non-volatile memories are gaining significant attention for embedded cache application due to their low standby power and excellent retention. Domain wall memory (DWM) is one possible candidate due to its ability to store multiple bits per cell in order to break the density barrier. Additionally, it provides low standby power, fast access time, good endurance and retention. However, it suffers from poor write latency, shift latency, shift power and write power. DWM is sequential in nature and latency of read/write operations depends on the offset of the bit from the read/write head. This paper investigates the circuit design challenges such as bitcell layout, head positioning, utilization factor of the nanowire, shift power, shift latency and provides solutions to deal with these issues. A synergistic system is proposed by combining circuit techniques such as merged read/write heads (for compact layout), flipped-bitcell and shift gating (for shift power optimization), wordline (WL) strapping (for access latency), shift circuit design with micro-architectural techniques such as segmented cache to realize energy-efficient and robust DWM cache. Simulations show 3-33% better performance and 1.25X-14.4X better power over a wide range of PARSEC benchmarks.
Seyedhamidreza Motaman, Anirudh Iyengar, Swaroop Ghosh
ISLPED2