Dr. Abhishek Guru
Computer Science and Engineering, Koneru Lakshmaiah Education Foundation,, Guntur, India
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Academic Career Length
4Years (2023-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
Abhishek Guru
Bhabendu Kumar Mohanta
Hitesh MohapatraFAFadi Al-turjman
Fadi Al-turjmanCAChadi Altrjman
Chadi AltrjmanAYARVIND YADAV
ARVIND YADAVIn the current era, blockchain has approximately 30 consensus algorithms. This architecturally distributed database stores data in an encrypted form with multiple checks, including elliptical curve cryptography (ECC) and Merkle hash tree. Additionally, many researchers aim to implement a public key infrastructure (PKI) cryptography mechanism to boost the security of blockchain-based data management. However, the issue is that many of these are required for advanced cryptographic protocols. For all consensus protocols, security features are required to be discussed because these consensus algorithms have recently been attacked by address resolution protocols (ARP), distributed denial of service attacks (DDoS), and sharding attacks in a permission-less blockchain. The existence of a byzantine adversary is perilous, and is involved in these ongoing attacks. Considering the above issues, we conducted an informative survey based on the consensus protocol attack on blockchain through the latest published article from IEEE, Springer, Elsevier, ACM, Willy, Hindawi, and other publishers. We incorporate various methods involved in blockchain. Our main intention is to gain clarity from earlier published articles to elaborate numerous key methods in terms of a survey article.
1
27 September 2024
Book Chapter
The field of exploring social models of smart home appliances aims to understand how these technologies interact with mobility and security issues, highlighting their broader social implications. This research has emerged due to the ubiquity of smart home devices and the need to comprehend their social impact. It focuses on the interplay between technology and its effects on equity and privacy concerns, aiming to develop policies that prioritize users over technology providers, while ensuring the protection of both smart home technologies and user privacy. The main challenge is understanding the integrated social safety functionality of these appliances. By examining the relationships between different countries, the research seeks to address differences through an approach that includes cultural norms, technological infrastructure, legal expertise, and user education. This anticipates a shift in smart home research towards a holistic approach, considering complex interactions. The goal is to provide insights for developing flexible and socially responsive smart home technologies.
1 October 2024 in International Journal of Information Technology
Journal Article
26 July 2025
Book Chapter
HCHarshvardhan Chunawala
Harshvardhan ChunawalaSKSmita Kumbhar
Smita Kumbhar
Abhishek GuruJSJ. Somasekar
J. Somasekar
AMAbuthar Mahmodshakir
Abuthar Mahmodshakir
KYKanchan Yadav
Kanchan Yadav30 November 2025 in Indian Journal of Economics and Finance
Journal Article
SSSuraj Kumar Sahu
Suraj Kumar SahuZKZubair Ahmed Khan
Zubair Ahmed KhanAbhishek GuruABAnkita Singh Baghel
Ankita Singh BaghelDSDivya Soni
Divya SoniThe traditional neural network algorithm for stock price forecasting is prone to local optima. To enhance the accuracy of stock price forecasting and reduce forecasting time, this paper introduces an improved Particle Optimisation Neural Network Algorithm. By integrating neural networks and particle swarm optimisation algorithms, a more effective forecasting model is constructed that better reflects the dynamic changes in stock prices. Meanwhile, introducing chaos-interference and mutation factors can enhance the algorithms diversity, thereby further improving forecast accuracy and stability. This method presents a novel solution for research and application in stock price forecasting, offering a valuable reference for relevant practitioners.
18 July 2025
Book Chapter
The integration of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, is driving significant advancements in smart collaboration across industries. By combining IoT's data-gathering capabilities with AI's analytical power, AIoT systems enable real-time decision-making, automation, and optimization in areas like manufacturing, healthcare, and smart cities. This chapter examines how AI interprets IoT-generated data to enhance efficiency, sustainability, and productivity. Key use cases are highlighted, demonstrating the synergy between AI and IoT in improving processes, reducing energy consumption, and bolstering safety measures. Challenges such as data security, latency, and device compatibility are addressed, with potential solutions like edge computing and secure frameworks proposed. The chapter concludes with a forward-looking perspective on how AIoT can transform industries and reshape human-machine collaboration, paving the way for smarter, more connected environments.
About Me
Dr Abhishek Guru received a Ph.D. (CSE) degree in 2021 from Kalinga University, Naya Raipur. He received his MSc. (CS) degree in 2012 from Makhanlal Chaturvedi Rashtriya Patrakarita Vishwavidyalaya, Bhopal, India. He has 3 Months of experience in IT industry as a Software Engineer and 9+ years of experience in educational institutes as an Assistant Professor. Currently associated with KL Deemed To Be University, Green Fields, Vaddeswaram, India as Assistant Professor in Computer Science & Engineering Department. He has published and granted Indian/Australian patents, some are waiting for grants. He has authored and co-authored of more than 10 journal articles including WOS & Scopus papers Presented research papers in 2 international conferences. He has contributed in book chapters, published by Elsevier, and Springer. He has contributed in book chapters, published by Elsevier, and Springer. He has lifetime Membership of IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOIP, EAI, CSTA. He has successfully completed many FDP, Training, webinar & workshops. and also Completed the 2-Weeks comprehensive online Patent Information Course. Proficiency in handling Teaching, Research as well as administrative activities. He has contributed massive literature in the fields of Network Security, Cyber Security, Cryptography, and IoT.