Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security

E Hashmi, MM Yamin, SY Yayilgan - AI and Ethics, 2024 - Springer
This survey paper explores the transformative role of Artificial Intelligence (AI) in information
security. Traditional methods, especially rule-based approaches, faced significant …

Analyzing amazon products sentiment: a comparative study of machine and deep learning, and transformer-based techniques

H Ali, E Hashmi, S Yayilgan Yildirim, S Shaikh - Electronics, 2024 - mdpi.com
In recent years, online shop** has surged in popularity, with customer reviews becoming
a crucial aspect of the decision-making process. Reviews not only help potential customers …

Augmenting sentiment prediction capabilities for code-mixed tweets with multilingual transformers

E Hashmi, SY Yayilgan, S Shaikh - Social Network Analysis and Mining, 2024 - Springer
People in the modern digital era are increasingly embracing social media platforms to
express their concerns and emotions in the form of reviews or comments. While positive …

Applications of llms for generating cyber security exercise scenarios

MM Yamin, E Hashmi, M Ullah, B Katt - IEEE Access, 2024 - ieeexplore.ieee.org
This study proposes a novel approach leveraging Large Language Models (LLMs) to
generate dynamic and complex adaptable cybersecurity exercise scenarios. Motivated by …

A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews

E Hashmi, SY Yayilgan - Electronic Commerce Research, 2024 - Springer
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …

Enhancing multilingual hate speech detection: From language-specific insights to cross-linguistic integration

E Hashmi, SY Yayilgan, IA Hameed, MM Yamin… - IEEE …, 2024 - ieeexplore.ieee.org
The rise of social media has enabled individuals with biased perspectives to spread hate
speech, directing it toward individuals based on characteristics such as race, gender …

[HTML][HTML] Self-supervised hate speech detection in norwegian texts with lexical and semantic augmentations

E Hashmi, SY Yayilgan, MM Yamin… - Expert Systems with …, 2025 - Elsevier
The proliferation of social media platforms has significantly contributed to the spread of hate
speech, targeting individuals based on race, gender, impaired functioning, religion, or …

FNNet: A secure ensemble-based approach for fake news detection using blockchain

P Rani, J Shokeen - The Journal of Supercomputing, 2024 - Springer
Blockchain technology has unlocked the doors of building decentralized applications, where
security plays a vital role. Any transaction ever created in a blockchain is recorded …

[HTML][HTML] Social media's dark secrets: A propagation, lexical and psycholinguistic oriented deep learning approach for fake news proliferation

K Ahmed, MA Khan, I Haq, A Al Mazroa… - Expert Systems with …, 2024 - Elsevier
Most existing methods for detecting fraudulent news or other forms of disinformation
primarily rely on user profiling or content analysis, determining whether a given article aligns …