ENERGY-EFFICIENT AND SECURE HARDWARE FOR INTERNET OF THINGS (IoT) DEVICES

Internet of Things (IoT) is a network of devices that are connected through the Internet to exchange the data for intelligent applications. Though IoT devices provide several advantages to improve the quality of life, they also present challenges related to security. The security issues related to IoT devices include leakage of information through Differential Power Analysis (DPA) based side channel attacks, authentication, piracy, etc. DPA is a type of side-channel attack where the attacker monitors the power consumption of the device to guess the secret key stored in it. There are several countermeasures to overcome DPA attacks. However, most of the existing countermeasures consume high power which makes them not suitable to implement in power constraint devices. IoT devices are battery operated, hence it is important to investigate the methods to design energy-efficient and secure IoT devices not susceptible to DPA attacks. In this research, we have explored the usefulness of a novel computing platform called adiabatic logic, low-leakage FinFET devices and Magnetic Tunnel Junction (MTJ) Logic-in-Memory (LiM) architecture to design energy-efficient and DPA secure hardware. Further, we have also explored the usefulness of adiabatic logic in the design of energy-efficient and reliable Physically Unclonable Function (PUF) circuits to overcome the authentication and piracy issues in IoT devices. Adiabatic logic is a low-power circuit design technique to design energy-efficient hardware. Adiabatic logic has reduced dynamic switching energy loss due to the recycling of charge to the power clock. As the first contribution of this dissertation, we have proposed a novel DPA-resistant adiabatic logic family called Energy-Efficient Secure Positive Feedback Adiabatic Logic (EE-SPFAL). EE-SPFAL based circuits are energy-efficient compared to the conventional CMOS based design because of recycling the charge after every clock cycle. Further, EE-SPFAL based circuits consume uniform power irrespective of input data transition which makes them resilience against DPA attacks. Scaling of CMOS transistors have served the industry for more than 50 years in providing integrated circuits that are denser, and cheaper along with its high performance, and low power. However, scaling of the transistors leads to increase in leakage current. Increase in leakage current reduces the energy-efficiency of the computing circuits,and increases their vulnerability to DPA attack. Hence, it is important to investigate the crypto circuits in low leakage devices such as FinFET to make them energy-efficient and DPA resistant. In this dissertation, we have proposed a novel FinFET based Secure Adiabatic Logic (FinSAL) family. FinSAL based designs utilize the low-leakage FinFET device along with adiabatic logic principles to improve energy-efficiency along with its resistance against DPA attack. Recently, Magnetic Tunnel Junction (MTJ)/CMOS based Logic-in-Memory (LiM) circuits have been explored to design low-power non-volatile hardware. Some of the advantages of MTJ device include non-volatility, near-zero leakage power, high integration density and easy compatibility with CMOS devices. However, the differences in power consumption between the switching of MTJ devices increase the vulnerability of Differential Power Analysis (DPA) based side-channel attack. Further, the MTJ/CMOS hybrid logic circuits which require frequent switching of MTJs are not very energy-efficient due to the significant energy required to switch the MTJ devices. In the third contribution of this dissertation, we have investigated a novel approach of building cryptographic hardware in MTJ/CMOS circuits using Look-Up Table (LUT) based method where the data stored in MTJs are constant during the entire encryption/decryption operation. Currently, high supply voltage is required in both writing and sensing operations of hybrid MTJ/CMOS based LiM circuits which consumes a considerable amount of energy. In order to meet the power budget in low-power devices, it is important to investigate the novel design techniques to design ultra-low-power MTJ/CMOS circuits. In the fourth contribution of this dissertation, we have proposed a novel energy-efficient Secure MTJ/CMOS Logic (SMCL) family. The proposed SMCL logic family consumes uniform power irrespective of data transition in MTJ and more energy-efficient compared to the state-of-art MTJ/ CMOS designs by using charge sharing technique. The other important contribution of this dissertation is the design of reliable Physical Unclonable Function (PUF). Physically Unclonable Function (PUF) are circuits which are used to generate secret keys to avoid the piracy and device authentication problems. However, existing PUFs consume high power and they suffer from the problem of generating unreliable bits. This dissertation have addressed this issue in PUFs by designing a novel adiabatic logic based PUF. The time ramp voltages in adiabatic PUF is utilized to improve the reliability of the PUF along with its energy-efficiency. Reliability of the adiabatic logic based PUF proposed in this dissertation is tested through simulation based temperature variations and supply voltage variations

Ultralow-Power and Secure S-Box Circuit Using FinFET Based ECRL Adiabatic Logic

Advanced Encryption Standard (AES) is the widely used technique in critical cyber security applications. In AES architecture S-box is the most important block. However, the power consumed by      S-box is 75% of the total AES design. The   S-box is also prone to Differential Power Analysis (DPA) attack which is one of the most threatening types of attacks in cryptographic systems. In this paper, a     three-stage positive polarity Reed-Muller (PPRM) S-box is implemented with 45nm FinFET using Efficient Charge Recovery Logic (ECRL) to reduce power consumption. The simulation results indicate up to 66% power savings for FinFET based S-box as compared to CMOS design. Further, the FinFET ECRL 8-bit     S-box circuit is evaluated for transitional energy fluctuations and peak current traces to compare its resistance against side-channel attacks. The lower energy variations and uniform current trace exhibit the improved security performance of the circuit to withstand DPA and Differential Electromagnetic Radiation Attacks (DEMA)

NOVEL RESOURCE EFFICIENT CIRCUIT DESIGNS FOR REBOOTING COMPUTING

CMOS based computing is reaching its limits. To take computation beyond Moores law (the number of transistors and hence processing power on a chip doubles every 18 months to 3 years) requires research explorations in (i) new materials, devices, and processes, (ii) new architectures and algorithms, (iii) new paradigm of logic bit representation. The focus is on fundamental new ways to compute under the umbrella of rebooting computing such as spintronics, quantum computing, adiabatic and reversible computing. Therefore, this thesis highlights explicitly Quantum computing and Adiabatic logic, two new computing paradigms that come under the umbrella of rebooting computing. Quantum computing is investigated for its promising application in high-performance computing. The first contribution of this thesis is the design of two resource-efficient designs for quantum integer division. The first design is based on non-restoring division algorithm and the second one is based on restoring division algorithm. Both the designs are compared and shown to be superior to the existing work in terms of T-count and T-depth. The proliferation of IoT devices which work on low-power also has drawn interests to the rebooting computing. Hence, the second contribution of this thesis is proving that Adiabatic Logic is a promising candidate for implementation in IoT devices. The adiabatic logic family called Symmetric Pass Gate Adiabatic Logic (SPGAL) is implemented in PRESENT-80 lightweight algorithm. Adiabatic Logic is extended to emerging transistor devices

Steep-slope Devices for Power Efficient Adiabatic Logic Circuits

Reducing supply voltage is an effective way to reduce power consumption, however, it greatly reduces CMOS circuits speed. This translates in limitations on how low the supply voltage can be reduced in many applications due to frequency constraints. In particular, in the context of low voltage adiabatic circuits, another well-known technique to save power, it is not possible to obtain satisfactory power-speed trade-offs. Tunnel field-effect transistors (TFETs) have been shown to outperforms CMOS at low supply voltage in static logic implementations, operation due to their steep subthreshold slope (SS), and have potential for combining low voltage and adiabatic. To the best of our knowledge, the adiabatic circuit topologies reported with TFETs do not take into account the problems associated with their inverse current due to their intrinsic p-i-n diode. In this paper, we propose a solution to this problem, demonstrating that the proposed modification allows to significantly improving the performance in terms of power/energy savings compared to the original ones, especially at medium and low frequencies. In addition, we have evaluated the relative advantages of the proposed TFET adiabatic circuits, both at gate and architecture levels, with respect to their static implementations, demonstrating that these are greater than for FinFET transistor designs. Index Terms—Adiabatic logic, TunnelPeer reviewe

A Low Power FinFET Charge Pump For Energy Harvesting Applications

Indiana University-Purdue University Indianapolis (IUPUI)With the growing popularity and use of devices under the great umbrella that is the Internet of Things (IoT), the need for devices that are smaller, faster, cheaper and require less power is at an all time high with no intentions of slowing down. This is why many current research efforts are very focused on energy harvesting. Energy harvesting is the process of storing energy from external and ambient sources and delivering a small amount of power to low power IoT devices such as wireless sensors or wearable electronics. A charge pumps is a circuit used to convert a power supply to a higher or lower voltage depending on the specific application. Charge pumps are generally seen in memory design as a verity of power supplies are required for the newer memory technologies. Charge pumps can be also be designed for low voltage operation and can convert a smaller energy harvesting voltage level output to one that may be needed for the IoT device to operate. In this work, an integrated FinFET (Field Effect Transistor) charge pump for low power energy harvesting applications is proposed. The design and analysis of this system was conducted using Cadence Virtuoso Schematic L-Editing, Analog Design Environment and Spectre Circuit Simulator tools using the 7nm FinFETs from the ASAP7 7nm PDK. The research conducted here takes advantage of some inherent characteristics that are present in FinFET technologies, including low body effects, and faster switching speeds, lower threshold voltage and lower power consumption. The lower threshold voltage of the FinFET is key to get great performance at lower supply voltages. The charge pump in this work is designed to pump a 150mV power supply, generated from an energy harvester, to a regulated 650mV, while supplying 1uA of load current, with a 20mV voltage ripple in steady state (SS) operation. At these conditions, the systems power consumption is 4.85uW and is 31.76% efficient. Under no loading conditions, the charge pump reaches SS operation in 50us, giving it the fastest rise time of the compared state of the art efforts mentioned in this work. The minimum power supply voltage for the system to function is 93mV where it gives a regulated output voltage of $25mV. FinFET technology continues to be a very popular design choice and even though it has been in production since Intel's Ivy-Bridge processor in 2012, it seems that very few efforts have been made to use the advantages of FinFETs for charge pump design. This work shows though simulation that FinFET charge pumps can match the performance of charge pumps implemented in other technologies and should be considered for low power designs such as energy harvesting

A novel optimization framework for controlling stabilization issue in design principle of FinFET based SRAM

The conventional design principle of the finFET offers various constraints that act as an impediment towards improving ther performance of finFET SRAM. After reviewing existing approaches, it has been found that there are not enough work found to be emphasizing on cost-effective optimization by addressing the stability problems in finFET design.Therefore, the proposed system introduces a novel optimization mechanism considering some essential design attributes e.g. area, thickness of fin, and number of components. The contribution of the proposed technique is to determine the better form of thickness of fin and its related aspect that can act as a solution to minimize various other asscoiated problems in finFET SRAM. Implemented using soft-computational approach, the proposed system exhibits that it offers better energy retention, lower delay, and potential capability to offer higher throughput irrespective of presence of uncertain amount of noise within the component

Ultra low power high speed domino logic circuit by using FinFET technology

Scaling of the MOSFET face greater challenge by extreme power density due to leakage current in ultra deep sub-micron (UDSM) technology. To overcome from this situation double gate device like FinFET is used which has excellent control over the thin silicon fins with two electrically coupled gate, which mitigate shorter channel effect and exponentially reduces the leakage current. In this research paper utilize the property of FinFET in domino logic, for high speed operation and reduction of power consumption in wide fan-in OR gate. Proposed circuit is simulated in FinFET technology by BISM4 model using HSPICE at 32nm process technology at 250C with CL=1pF at 100MHz frequency. For 8 and 16 input OR gate we save average power 11.5%,11.39% in SFLD, 22.97%, 18.12% in HSD, 30.90%, 34.57% in CKD in SG mode and for LP mode 11.26%, 15.78% in SFLD, 19.74%, 17.94% in HSD, 45.23%, 34.69% in CKD respectivel

Performance Analysis of CMOS and FinFET based 16-Bit Barrel Shifter

A barrel shifter shifts ‘n’ number of bits in one cycle. Barrel shifter can perform the following functions: shift left logical, shift left arithmetic, rotate left, shift right logical, shift right arithmetic and rotate right. The design of the barrel shifter is purely MUX based will improve its efficiency if Mux consumes less power. The MUX based SLC barrel shifter circuits are designed using Tanner EDA tools. Fin-type field-effect transistors ( FinFETs) are promising substitutes for bulk CMOS in nano - scale circuits. This paper compares the performance of barrel shifter using two different technologies on the basis of power consumption, time delay and power delay product DOI: 10.17762/ijritcc2321-8169.15067

Comparative Study on Performance and Variation Tolerance of Low Power Circuit

The demand for low-power electronic devices is increasing rapidly in current VLSI technology. Instead of conventional CMOS circuit operating at nominal supply voltage, several kinds of circuits are brought about with the goal of reducing power consumption. This research is mainly focused on evaluating performance, power and variation tolerance of near/sub-threshold computing and adiabatic logic circuits. Arithmetic logic units (ALUs) are designed with 15nm FinFET process technologies for these circuit styles. The evaluation is carried out by simulations on these ALU designs. The variation model considers ambient temperature variations and power supply fluctuations that emulate wireless sensor node applications. The results shows that conventional static CMOS circuit operating in near-threshold region exhibits similar power efficiency with adiabatic logic circuit operating in the same region, while at the same time it bears better temperature and voltage variation tolerance in most of the cases. The study results provide helpful guidance to low-power electronic system designs

Sustainable and Short-range Communication Techniques for Smart Industry Environment

The industries of the future, call for unprecedented flexibility whereas, the communication technology intervention is the best solution. For sustainable development goals in industry automation demand Dedicated Short-range Communication (DSRC) with Intelligent Transportation Systems (ITS). One of these systems' view point is the regular dissemination of safety messages. Integrating this technology with the existing Industry automation is a technical challenge. Integration also involves in imparting intelligence through digitalization of communication. With a cost of overhead power, Error Controlling Codes (ECC) provides a reliable and error-free DSRC communication system. In this paper, low power and secure digital VLSI architecture is presented to meet the sustainable integrated communication technology on chip circuitry for industry 4.0. The circuit's performance is measured in Cadence utilizing 18 nm FinFET-based ECRL adiabatic logic. The design provides maximum power savings of 99.49% over reported values for CMOS and 99.41% for pass transistor implementation. The adiabatic logic circuits constructed with ECRL are shown to have consistent peak current traces and hence can survive differential power analysis (DPA) attacks, resulting in improved circuit security