The increasing volume and complexity of digital evidence in cybercrime investigations place huge
pressure on digital forensic tools to perform efficient and scalable analysis. Autopsy, a widely
adopted open-source ...
Money laundering remains a critical global threat, with financial institutions struggling to
detect complex and evolving laundering schemes within vast volumes of transactional data.
This study focuses on identifying ...
Most large enterprise organizations around the world which includes banks, telcos etc. has multiple cyber security and network devices in their environments. The problem with this is that most organizations tend to acquire ...
The rapid growth of quantum computing poses a significant threat to traditional cryptographic
systems, such as RSA and ECC, which are widely used to protect sensitive information in
various sectors, including finance, ...
Researcher have proposed and implemented Explainable AI (XAI) techniques for spam email and SMS detection using deep learning models. The primary goal is to enhance the transparency, interpretability, and trustworthiness ...
The swift proliferation of operating system (OS) log data and the intricacy of modern cyber
threats have shown inadequacies in traditional forensic analysis methods. Current systems have
difficulties in processing large ...
In modern cyber world information security is paramount specifically when it comes to PII and Personal Data this has been a throbbing headache for not only Sri Lankas BFSI sector but this has been a problem for almost every ...
Insecure electronic voting systems can create serious problems for voters and stakeholders who
rely on accurate results. Unauthorized manipulation of e-voting data can drastically change the
outcome of an election or ...
Bone fractures are a critical medical condition requiring early and accurate detection to ensure
timely treatment, yet conventional analysis relies on manual interpretation, which is time-
consuming and prone to error ...
The rapid spread of fake news across digital platforms has occurred as a significant risk to
societal trust, community safety, and political stability. Misinformation campaigns often exploit
various media formats such ...
Reactive, threshold-based autoscaling mechanisms in Kubernetes are inadequate for modern cloud-native applications, as they fail to efficiently manage dynamic workloads, leading to performance degradation and inefficient ...
Communication barriers for the hearing-impaired community in Sri Lanka persist due to the
lack of accessible, real-time Sri Lankan Sign Language (SSL) translation systems that capture
emotional expressiveness. Existing ...
Road traffic accidents continue to pose a global public health challenge, resulting in over 1.3
million deaths annually and causing significant economic damage. Current road safety
measures and mobile solutions are often ...
Problem: Major Depressive Disorder (MDD) is a serious mental health condition affecting millions worldwide, which leads to reduced quality of life, disability, and an increased risk of suicide. Traditional MDD diagnostic ...
The growth of mobile financial transactions presents new challenges for fraud detection, where traditional and ML methods often miss emerging patterns. While Large Language Models (LLMs) offer advanced language understanding, ...
Problem: Shape-changing robots offer significant potential for navigating dynamic
environments, yet existing motion planning algorithms, primarily designed for rigid-body
robots, fail to meet the demands of dynamic ...
Brain tumor detection from Magnetic Resonance Imaging (MRI) scans is a crucial component of clinical diagnosis, treatment planning, and prognosis in neuro-oncology. Accurate identification of brain tumors at an early stage ...
Environmental, Social and Governance (ESG) aspects are non-financial elements attracting
investor interest as they increasingly incorporate them into their analyses to uncover significant risks and development prospects. ...
In the not-too-distant past, people have started using healthcare chatbots in an effort to get instant responses to their questions concerning their health. Most of the health chatbots still falter when patients ask them ...