Enhancing user prompt confidentiality in Large Language Models through advanced differential encryption

BB Gupta, A Gaurav, V Arya, W Alhalabi… - Computers and …, 2024 - Elsevier
In the era of artificial intelligence (AI) advancements heralded by Large Language Models
(LLMs) like GPT-3, the capacity to parse and generate human-like text brings to light …

Enhancing phishing detection: A novel hybrid deep learning framework for cybercrime forensics

FS Alsubaei, AA Almazroi, N Ayub - IEEE Access, 2024 - ieeexplore.ieee.org
Protecting against interference is essential at a time when wireless communications are
essential for sending large amounts of data. Our research presents a novel deep learning …

Navigating the security landscape of large language models in enterprise information systems

BB Gupta, A Gaurav, V Arya - Enterprise Information Systems, 2024 - Taylor & Francis
In this letter, we present a comprehensive analysis of the security landscape surrounding
large language models, leveraging a dataset from 2022 to 2023. We delve into the …

[HTML][HTML] The anatomy of deception: Measuring technical and human factors of a large-scale phishing campaign

A Chrysanthou, Y Pantis, C Patsakis - Computers & Security, 2024 - Elsevier
In an era dominated by digital interactions, phishing campaigns have evolved to exploit not
just technological vulnerabilities but also human traits. This study takes an unprecedented …

[HTML][HTML] Facilitating innovation and knowledge transfer between homogeneous and heterogeneous datasets: Generic incremental transfer learning approach and …

KT Chui, V Arya, SS Band, M Alhalabi, RW Liu… - Journal of Innovation & …, 2023 - Elsevier
Open datasets serve as facilitators for researchers to conduct research with ground truth
data. Generally, datasets contain innovation and knowledge in the domains that could be …

A novel phishing website detection model based on LightGBM and domain name features

J Zhou, H Cui, X Li, W Yang, X Wu - Symmetry, 2023 - mdpi.com
Phishing attacks have evolved in terms of sophistication and have increased in sheer
number in recent years. This has led to corresponding developments in the methods used to …

Machine learning-based distributed denial of services (DDoS) attack detection in intelligent information systems

W Alhalabi, A Gaurav, V Arya, IF Zamzami… - … Journal on Semantic …, 2023 - igi-global.com
The danger of distributed denial of service (DDoS) attacks has grown in tandem with the
proliferation of intelligent information systems. Because of the sheer volume of connected …

A novel logo identification technique for logo-based phishing detection in cyber-physical systems

P Panda, AK Mishra, D Puthal - Future Internet, 2022 - mdpi.com
The first and foremost task of a phishing-detection mechanism is to confirm the appearance
of a suspicious page that is similar to a genuine site. Once this is found, a suitable URL …

Impact of celebrity-endorsed environmental advertisements on green economy development

M Li, J Li, MAI Yasin, NB Hashim, LH Ang… - … Forecasting and Social …, 2022 - Elsevier
This study offers a thorough analysis and evaluation of the impact of celebrity environmental
advertisements on the development of green economy. According to our findings, celebrity …

Analysis of the Role of Global Information Management in Advanced Decision Support Systems (DSS) for Sustainable Development

BB Gupta, PK Panigrahi - Journal of Global Information Management …, 2022 - igi-global.com
Timely intelligent decision support systems (DSS) are increasingly important for the
sustainable development of entrepreneurship. Global information management plays an …