All Outputs (17)

From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models (2025)
Journal Article

As AI becomes indispensable in healthcare, its vulnerability to adversarial attacks demands serious attention. Even minimal changes to the input data can mislead Deep Learning (DL) models, leading to critical errors in diagnosis and endangering patie... Read More about From accuracy to vulnerability: Quantifying the impact of adversarial perturbations on healthcare AI models.

AI under attack: Metric-driven analysis of cybersecurity threats in deep learning models for healthcare applications (2025)
Journal Article

Incorporating Artificial Intelligence (AI) in healthcare has transformed disease diagnosis and treatment by offering unprecedented benefits. However, it has also revealed critical cybersecurity vulnerabilities in Deep Learning (DL) models, which rais... Read More about AI under attack: Metric-driven analysis of cybersecurity threats in deep learning models for healthcare applications.

Evaluating cybersecurity frameworks safeguarding the software industry against evolving threats (2025)
Book Chapter

The primary objective of this chapter is to evaluate the cybersecurity framework for software security, which has gained significant importance due to the rise in malicious attacks and other hacker-related threats to computer systems in recent years.... Read More about Evaluating cybersecurity frameworks safeguarding the software industry against evolving threats.

Explainable AI in medical imaging: An interpretable and collaborative federated learning model for brain tumor classification (2025)
Journal Article

Introduction: A brain tumor is a collection of abnormal cells in the brain that can become life-threatening due to its ability to spread. Therefore, a prompt and meticulous classification of the brain tumor is an essential element in healthcare care.... Read More about Explainable AI in medical imaging: An interpretable and collaborative federated learning model for brain tumor classification.

Quantum blockchain: Trends, technologies, and future directions (2024)
Journal Article

AbstractBlockchain technology is a highly developed database system that shares information within a business web. It stores details in blocks connected chronologically, ensuring information integrity through consensus mechanisms that prevent unautho... Read More about Quantum blockchain: Trends, technologies, and future directions.

A review of large language models in healthcare: Taxonomy, threats, vulnerabilities, and framework (2024)
Journal Article

Due to the widespread acceptance of ChatGPT, implementing large language models (LLMs) in real-world applications has become an important research area. Such productisation of technologies allows the public to use AI without technical knowledge. LLMs... Read More about A review of large language models in healthcare: Taxonomy, threats, vulnerabilities, and framework.

Machine learning models for detecting software vulnerabilities (2024)
Book Chapter

Pay close attention to finding vulnerabilities and making secure software, we need to become less vulnerable. Vulnerable software always gives significant chances for hackers to inject malicious SQL code and interfere with its functionality. Security... Read More about Machine learning models for detecting software vulnerabilities.

Generative AI for visualization (2024)
Book Chapter

The primary objective of this chapter is focused on improvement and helping Generative AI for visualization such as automating the design of visuals and making it easier to understand patterns, trends, and outliers. Recent advances in machine learnin... Read More about Generative AI for visualization.

Hardware vulnerabilities: Taxonomy and business security models (2024)
Book Chapter

The primary objective of this chapter is to address the hardware vulnerabilities risks and challenges. A hardware vulnerability is a flaw in a computer system that can be remotely exploited by threat actors. They can then infiltrate a network by intr... Read More about Hardware vulnerabilities: Taxonomy and business security models.

Generative AI in network security and intrusion detection (2024)
Book Chapter

Protecting virtual assets from cyber threats is essential as we live in a digitally advanced world. Providing a responsible emphasis on proper network security and intrusion detection is imperative. On the other hand, traditional strategies need a su... Read More about Generative AI in network security and intrusion detection.

IoT Smart healthcare security challenges and solutions (2024)
Book Chapter

The primary objective of this chapter is to examine the security concerns of people in their smart homes and focus on the healthcare equipment that comes packaged with future homes that are vulnerable to cyber-attacks, resulting in data breaches. Pat... Read More about IoT Smart healthcare security challenges and solutions.

Use of emerging technologies in healthcare 4.0 (2024)
Book Chapter

Since its launch, Healthcare 4.0 has made it possible to create and enhance the quality of healthcare services by integrating cutting-edge technologies. We have focused this study on a few of the cutting-edge studies that have the potential to signif... Read More about Use of emerging technologies in healthcare 4.0.

A comprehensive exploration of DDoS attacks and cybersecurity imperatives in the digital age (2024)
Book Chapter

This study emphasizes the critical role of cybersecurity in safeguarding digital infrastructure, ensuring passenger safety, and maintaining operational integrity. By highlighting the multifaceted challenges of DDoS attacks, the document advocates for... Read More about A comprehensive exploration of DDoS attacks and cybersecurity imperatives in the digital age.

The Internet of Things (IoT) Is revolutionizing inventory management (2024)
Book Chapter

Every part of the supply chain has been affected by the rise of Industry 4.0 technologies. Many businesses have been trying out this modern technology to see if it can help them make more money. IoT devices make it simple for companies to keep track... Read More about The Internet of Things (IoT) Is revolutionizing inventory management.

Use of AI-based drones in smart cities (2024)
Book Chapter

Autonomous drones, known as AI drones, have been working without human intervention. It is doing something like navigation, avoiding obstacles, and taking picture recognition without explicit human direction, thanks to AI technology. It's an advantag... Read More about Use of AI-based drones in smart cities.

Bargaining based design mechanism for delay sensitive tasks of mobile crowdsensing in IoT (2023)
Journal Article

Internet of Things (IoT) is getting growing interest to offer great opportunities in combination with Mobile Crowd Sensing for real-time applications. Existing approaches motivate mobile workers (MWs) for approaching the distant locations to receive... Read More about Bargaining based design mechanism for delay sensitive tasks of mobile crowdsensing in IoT.

An open-air analysis of the air pollutants in malaysian atmosphere and experts engagement workshop on smart mobility (2018)
Presentation / Conference Contribution

Due to increase in population and modern urbanization, air pollution has become one of the primary culprits that has catastrophic effects on the health and environment. Cities are looking forward to undertaking smart and sustainable mobility initiati... Read More about An open-air analysis of the air pollutants in malaysian atmosphere and experts engagement workshop on smart mobility.