All Outputs (7)

Analyzing and predicting the risk factors of cervical cancer using machine learning techniques (2025)
Book Chapter

Cervical cancer is one of the most prevalent gynecological cancers worldwide, and early screening plays a crucial role in mitigating its global burden. This disease is largely preventable, yet disadvantaged groups often lack access to regular screeni... Read More about Analyzing and predicting the risk factors of cervical cancer using machine learning techniques.

Feasibility of keypad input interception in augmented reality environments (2025)
Book Chapter

Augmented reality (AR) technology is one of the rapidly growing solutions that change the way people interact with the digital space (Kidd and Crompton in Mobile learning design. Springer, Singapore, pp. 97–108, 2016). People have raised questions co... Read More about Feasibility of keypad input interception in augmented reality environments.

Cyberbiosecurity in healthcare: Securing medical devices from digital and biological threats (2025)
Presentation / Conference Contribution

Technological innovations constantly transform, and these transformations extend over all sectors of life, irrespective of the original innovation's purpose. Due to the need for constant improvements in patient care, new technology is commonly applie... Read More about Cyberbiosecurity in healthcare: Securing medical devices from digital and biological threats.

Detecting and mitigating anti-forensic techniques: A comprehensive framework for digital investigators (2025)
Presentation / Conference Contribution

The main goal of anti-forensics tools and techniques are to "frustrate" not only the investigators but also the forensic tools used such as Sleuth Kit. Anti-forensics is quite exactly the opposite of Cyber Forensics. These tools affect an investigati... Read More about Detecting and mitigating anti-forensic techniques: A comprehensive framework for digital investigators.

A machine learning-based intrusion detection algorithm for securing bioinformatics pipelines (2025)
Presentation / Conference Contribution

Bioinformatics pipelines, which process vast amounts of sensitive biological data, are increasingly targeted by cyberattacks. Traditional security measures often fail to provide adequate protection due to the unique computational and network characte... Read More about A machine learning-based intrusion detection algorithm for securing bioinformatics pipelines.

Ethical implications of WannaCry: A cybersecurity dilemma (2025)
Presentation / Conference Contribution

The WannaCry ransomware attack of May 2017 marked a critical turning point in cybersecurity history, prompting profound ethical discussions about software vulnerability management. This comprehensive analysis examines the ethical dimensions of the Wa... Read More about Ethical implications of WannaCry: A cybersecurity dilemma.

The evolution of phishing and future directions: A review (2025)
Presentation / Conference Contribution

Phishing has emerged as one of the most persistent and evolving threats in cybersecurity. Its development from simple email scams to highly sophisticated and targeted attacks has been driven by technological advancements, the rise of social media, an... Read More about The evolution of phishing and future directions: A review.