Faculty Publications

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    Hardware Security in Evolving FinTech Landscape
    (Springer Science and Business Media Deutschland GmbH, 2025) Bhowmik, B.; Dongala, J.R.; Sudhama, K.K.; Antony, R.T.; Girish, K.K.
    The assimilation of technology into the financial sector, often referred to as FinTech, has brought about a significant transformation. This shift has not only widened the scope of financial inclusivity but has also fundamentally reshaped the contours of financial solutions delivered. As FinTech solutions continue to empower individuals with greater control over their finances through mobile banking, digital wallets, and advanced data analytics, the security of these innovations becomes paramount. While software security has traditionally received more attention, this paper underscores the significance of hardware security, which serves as the foundational infrastructure for software security measures. It delves into the factors used to evaluate hardware security and outlines various categories of hardware attacks. A case study, focusing on point-of-sale (PoS) systems, exemplifies the importance of hardware security in FinTech. Ultimately, this research contributes to a comprehensive understanding of the evolving FinTech landscape and its implications for both financial inclusion and cybersecurity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
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    Design and modelling an attack on multiplexer based physical unclonable function
    (Seventh Sense Research Group, 2020) Venkata, A.M.; Jeeru, D.R.; Vittal, K.P.
    This paper deals with study of the physical unclonable functions and specifically the design of arbiter based PUF (APUF) and extends the work on different types of attacks on the PUF designs to break the security of the device, which includes advanced computational algorithms. Machine learning (ML) based attacks are successful in attacking existing designs. So in this, the resistance of the modified, proposed design of APUF is examined by modelling the attack based on the logistic regression a MLbased algorithm. The design is validated on Basys-3 Artix -7 FPGA board with a part number (xc7a35tcpg236-1). © 2020 Seventh Sense Research Group. All rights reserved.
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    Blockchain based secure Ownership Transfer Protocol for smart objects in the Internet of Things
    (Elsevier B.V., 2024) Manjappa, M.; Ray, B.; Hassan, J.; Kashyap, A.; Chandrappa, V.Y.
    Secure digital ownership transfer is critical for smart objects within the Internet of Things (IoT) ecosystem. This paper presents the Ownership Transfer Protocol (OTP), which leverages Physically Unclonable Function (PUF) and blockchain technology to ensure the secure transfer of ownership for smart objects in the IoT. The proposed protocol can securely track and trace smart objects during their movement in the IoT supply chain. Unlike the traditional Ownership Transfer (OT) architecture, the proposed architecture does not require a Trusted Third Party (TTP) and can support Partial Ownership Transfer (POT). The innovative use of immutable blockchain architecture enabled the proposed protocol to effectively support distributed environments and authenticate both the device and involved parties. The proposed protocol is evaluated for its robustness against common attacks outlined in this paper and implemented using the Ethereum blockchain. The testbed results on Ethereum confirm the optimal gas consumption of the proposed model. Furthermore, utilizing the security claim verification tool, Scyther, the experiment validates the security claim regarding the communication between the parties involved in the proposed protocol's OT process. © 2023 Elsevier B.V.