Sumit Chauhan

Mr. Sumit Chauhan

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 November 2023 in Sensors
Verified
Journal Article
Open access
PDF file
MOMiguel Oliveira
Miguel Oliveira
SCSumit Chauhan
Sumit Chauhan
Filipe PereiraFilipe Pereira
Filipe Pereira
Manuel FelgueirasManuel Felgueiras
Manuel Felgueiras
DCDavid Vieira Carvalho
David Vieira Carvalho
“Industry 5.0” is the latest industrial revolution. A variety of cutting-edge technologies, including artificial intelligence, the Internet of Things (IoT), and others, come together to form it. Billions of devices are connected for high-speed data transfer, especially in a 5G-enabled industrial environment for information collection and processing. Most of the issues, such as access control mechanism, time to fetch the data from different devices, and protocols used, may not be applicable in the future as these protocols are based upon a centralized mechanism. This centralized mechanism may have a single point of failure along with the computational overhead. Thus, there is a need for an efficient decentralized access control mechanism for device-to-device (D2D) communication in various industrial sectors, for example, sensors in different regions may collect and process the data for making intelligent decisions. In such an environment, reliability, security, and privacy are major concerns as most of the solutions are based upon a centralized control mechanism. To mitigate the aforementioned issues, this paper provides the opportunities for and highlights some of the most impressive initiatives that help to curve the future. This new era will bring about significant changes in the way businesses operate, allowing them to become more cost-effective, more efficient, and produce higher-quality goods and services. As sensors are getting more accurate, cheaper, and have lower time responses, 5G networks are being integrated, and more industrial equipment and machinery are becoming available; hence, various sectors, including the manufacturing sector, are going through a significant period of transition right now. Additionally, the emergence of the cloud enables modern production models that use the cloud (both internal and external services), networks, and systems to leverage the cloud’s low cost, scalability, increased computational power, real-time communication, and data transfer capabilities to create much smarter and more autonomous systems. We discuss the ways in which decentralized networks that make use of protocols help to achieve decentralization and how network meshes can grow to make things more secure, reliable, and cohere with these technologies, which are not going away anytime soon. We emphasize the significance of new design in regard to cybersecurity, data integrity, and storage by using straightforward examples that have the potential to lead to the excellence of distributed systems. This groundbreaking paper delves deep into the world of industrial automation and explores the possibilities to adopt blockchain for developing solutions for smart cities, smart homes, healthcare, smart agriculture, autonomous vehicles, and supply chain management within Industry 5.0. With an in-depth examination of various consensus mechanisms, readers gain a comprehensive understanding of the latest developments in this field. The paper also explores the current issues and challenges associated with blockchain adaptation for industrial automation and provides a thorough comparison of the available consensus, enabling end customers to select the most suitable one based on its unique advantages. Case studies highlight how to enable the adoption of blockchain in Industry 5.0 solutions effectively and efficiently, offering valuable insights into the potential challenges that lie ahead, particularly for smart industrial applications.

28 September 2022 in Journal of Materials Science: Materials in Electronics
Verified
Journal Article
Closed access
PDF file
SCSumit Chauhan
Sumit Chauhan
RBRajni Bala
Rajni Bala
SGSanjay Gaur
Sanjay Gaur
SRSaroj Rani
Saroj Rani

16 June 2023 in Preprints.org
Verified
Preprint
Open access
PDF file
MOMiguel Oliveira
Miguel Oliveira
SCSumit Chauhan
Sumit Chauhan
Filipe PereiraFilipe Pereira
Filipe Pereira
Manuel FelgueirasManuel Felgueiras
Manuel Felgueiras
DCDavid Vieira Carvalho
David Vieira Carvalho
"Industry 5.0” is the latest industrial revolution. A variety of cutting-edge technologies, including artificial intelligence, the Internet of Things (IoT), and others, come together to form it. This new era will bring about significant changes in the way businesses operate, allowing them to become more cost-effective, more efficient, and produce higher-quality goods and services. Because sen-sors are getting better, 5G networks are being put in place, and more industrial equipment and machinery are becoming available, the manufacturing sector is going through a significant period of transition right now. These newly scalable opportunities make it possible to use and spread blockchain architectures on the shop floor, which is made possible by the ever-decreasing costs associated with implementing blockchain technology. Even though modern production models make use of the cloud (both internal and external services), networks and systems can take ad-vantage of the cloud's relatively low cost, scalability, increased computational power, real-time communication, and data transfer capabilities to create much smarter and more autonomous systems. This paper presents the results of an investigation into how blockchain services for large-scale industry networks could benefit from increased levels of security, transparency, and efficiency. We discuss the ways in which decentralized networks that make use of protocols and meshes might make things better with these technologies, which are not going away anytime soon. We emphasize the significance of new design in regards to cybersecurity, data integrity, and storage by using straightforward examples that have the potential to lead to the excellence of distributed systems.

16 November 2023
Verified
Conference Paper
Closed access
SCSumit Chauhan
Sumit Chauhan
VOVaghawan Prasad Ojha
Vaghawan Prasad Ojha
SYShantia Yarahmadian
Shantia Yarahmadian
DCDavid Carvalho
David Carvalho
The advent of quantum computing has generated apprehensions regarding the viability and security of conventional cryptographic algorithms. These algorithms safeguard the decentralized trust built into the blockchain, which relies on decentralized cryptographic consensus, instead of a central authority. Simultaneously, quantum computing has also unveiled unprecedented possibilities, opportunities and risks in the realm of technology. The significance of this is that numerous sub-routines employed within the blockchain, such as consensus protocols, data transmission, storage, and communication, heavily depend on conventional cryptographic algorithms like Rivest-Shamir-Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA). However, these algorithms are susceptible to quantum algorithms, which have the potential to effectively compromise them once quantum computers with sufficient computational capabilities are developed. Blockchain, although primarily recognized for its association with cryptocurrencies, is essentially a decentralized and trustless distributed ledger system. Its purpose is to enable decentralized communication, coordination, and the attainment of desired objectives through consensus mechanisms. A notable illustration of this concept is a blockchain transaction. The advent of quantum computing poses a significant threat to the security of blockchain systems, as the asymmetric algorithms employed within their many components will likely become obsolete. This jeopardizes the integrity of the blockchain system, which underpins a multi-billion dollar economy reliant on its inherent transparency and safety. This paper seeks to present an overview of the various threats faced by blockchain systems, examine the potential of quantum algorithms in offering cryptographic signatures for these systems, and provide a broad perspective on how to protect blockchain systems from quantum threats by utilizing quantum algorithms for cryptographic signatures. This study enhances the comprehension of existing vulnerabilities in blockchain systems, specifically focusing on the potential risks posed by quantum computing. Additionally, it sheds light on the ongoing efforts within the industry and current research endeavors aimed at addressing these weaknesses.

3 September 2025 in Mathematics
Verified
Journal Article
Open access
PDF file
VOVaghawan Prasad Ojha
Vaghawan Prasad Ojha
SCSumit Chauhan
Sumit Chauhan
SYShantia Yarahmadian
Shantia Yarahmadian
DCDavid Vieira Carvalho
David Vieira Carvalho
The advent of quantum computers poses a significant threat to the security of classical cryptographic systems. To address this concern, researchers have been actively investigating the development of post-quantum cryptography, which aims to provide encryption schemes that remain secure even in the face of powerful quantum adversaries. To address this serious problem, the National Institute of Standards and Technology (NIST), a body of the US government, has been working on the selection and standardization of cryptographic algorithms through competitive and rigorous evaluation on different fronts. NIST has selected different candidate algorithms to standardize public-key encryption, including key establishment algorithms and digital signature algorithms. This paper reviews some selected cryptosystems, mainly based on lattice- and code-based cryptosystems. These include digital signature algorithms, such as CRYSTALS-Dilithium, code-based cryptosystems, such as McEliece, and key encapsulation methods, specifically, Classic McEliece, BIKE and HQC. We will review these algorithms and discuss their security aspects and the current state-of-the-art in the development of these algorithms post NIST 3rd finalized selection. We will also touch briefly on the differences and practical applications of each of these schema. This review is intended for engineers and practitioners alike.

1 May 2020 in International Journal of Innovative Research in Computer Science and Technology
Verified
Journal Article
Open access
RYRajeev Yadav
Rajeev Yadav
SCSumit Chauhan
Sumit Chauhan
MMMeenu Meenu
Meenu Meenu
SGSwati Gupta
Swati Gupta