Sustainable framework for metaverse security and privacy: Opportunities and challenges

M Singh, SK Singh, S Kumar, U Madan… - … Conference on Cyber …, 2021 - Springer
A metaverse is a network of 3D virtual worlds focused on social connection. In futurism and
science fiction, it is often described as a hypothetical iteration of the Internet as a single …

MADG: margin-based adversarial learning for domain generalization

A Dayal, V KB, LR Cenkeramaddi… - Advances in …, 2023 - proceedings.neurips.cc
Abstract Domain Generalization (DG) techniques have emerged as a popular approach to
address the challenges of domain shift in Deep Learning (DL), with the goal of generalizing …

Security of android banking mobile apps: Challenges and opportunities

A Sharma, SK Singh, S Kumar, A Chhabra… - … conference on cyber …, 2021 - Springer
Abstract As of 2021, there are 14.91 billion mobile devices, which shows that cell phones
continues to be a vital part of present day human's existence and the Android Operating …

RETRACTED ARTICLE: Explainable context-aware IoT framework using human digital twin for healthcare

T Vats, SK Singh, S Kumar, BB Gupta, SS Gill… - Multimedia Tools and …, 2024 - Springer
The Publisher has retracted this article in agreement with the Editor-in-Chief. The article was
submitted to be part of a guest-edited issue. An investigation by the publisher found a …

An efficient hardware supported and parallelization architecture for intelligent systems to overcome speculative overheads

S Kumar, SK Singh, N Aggarwal… - … Journal of Intelligent …, 2022 - Wiley Online Library
In the last few decades, technology advancements have paved the way for the creation of
intelligent and autonomous systems that utilize complex calculations which are both time …

[HTML][HTML] Sustainable and intelligent time-series models for epidemic disease forecasting and analysis

A Chhabra, SK Singh, A Sharma, S Kumar… - Sustainable Technology …, 2024 - Elsevier
There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …

[HTML][HTML] A methodology for urban planning generation: A novel approach based on generative design

I Pérez-Martínez, M Martínez-Rojas… - … Applications of Artificial …, 2023 - Elsevier
The construction sector is undergoing a digital transformation that aims to increase
productivity, improve processes and take advantage of the new advances in digitalization …

Automated machine learning (AutoML): The future of computational intelligence

G Mengi, SK Singh, S Kumar, D Mahto… - … Conference on Cyber …, 2021 - Springer
Computer science controls every task in today's environment, and everything in the sector
attempts to automate the task. The basic essence of computer science is to minimize human …

A novel deep federated learning-based model to enhance privacy in critical infrastructure systems

A Sharma, SK Singh, A Chhabra, S Kumar… - International Journal of …, 2023 - igi-global.com
Deep learning (DL) can provide critical infrastructure operators with valuable insights and
predictive capabilities to help them make more informed decisions, improving system's …

[HTML][HTML] Securing the road ahead: Machine learning-driven DDoS attack detection in VANET cloud environments

H Setia, A Chhabra, SK Singh, S Kumar… - Cyber Security and …, 2024 - Elsevier
Vehicular ad-hoc network (VANET) technology has gained prominence, especially in the
context of the emerging field of VANET Cloud as an integral part of connected and …