Governments worldwide recognize the increasing threats posed by cyberattacks on critical infrastructure, which encompasses sectors such as energy, healthcare, finance, and transportation. To mitigate risks and enhance resilience, national cybersecurity...
The future of smart cities promises unprecedented efficiency, connectivity, and sustainability through advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. However, as urban areas become...
Ransomware attacks on government agencies have escalated in both frequency and sophistication, posing significant challenges to national security, public safety, and operational continuity. These attacks encrypt critical data and demand ransom payments,...
This study examines the transformational evolution of public health organisations as they confront and surmount the dynamic security problems in the contemporary linked, data-centric healthcare landscape. As dependence on digital technologies like...
Machine learning (ML) models have emerged as powerful tools in cybersecurity, offering proactive threat detection and risk mitigation capabilities. This study examines the effectiveness of ML models in predicting ransomware attacks on critical public health...
Artificial Intelligence (AI) is playing an increasingly pivotal role in national security, transforming defence strategies, cybersecurity operations, and government security solutions. AI-driven national defence strategies enhance situational awareness,...
Ransomware attacks have emerged as one of the most destructive and financially crippling forms of cybercrime in recent years, impacting organizations of all sizes and sectors. These attacks involve malicious software that encrypts a victim's data, rendering...
In an era of digital transformation, government organizations handle vast amounts of sensitive data, making robust data governance essential for ensuring security, compliance, and efficiency. Public sector data governance encompasses policies, frameworks,...
Understanding cybersecurity and password management is essential for privacy, data protection, and stopping online crime. Social media accounts, emails, bank records, and other sensitive and personal data are maintained online in the digital era. Learning...
The rapid digitalization of healthcare has led to the widespread adoption of Cloud-Based Health Information Systems (CHIS), offering enhanced data accessibility, interoperability, and operational efficiency. These systems facilitate real-time access to...
Governments worldwide face increasing challenges in responding to disasters and crises, necessitating resilient IT strategies that ensure continuity, adaptability, and efficiency. A robust IT framework for disaster response and crisis management integrates...
Red Teaming as a Service (RTaaS) is an innovative cybersecurity approach designed to enhance the proactive defense strategies of IT cloud ecosystems. It involves outsourcing simulated cyberattacks and security assessments to specialized external teams,...
Efficient anomaly detection in big data streams is critical for modern applications such as cybersecurity, Internet of Things (IoT), and financial fraud prevention. Traditional approaches struggle to handle the dynamic, high-dimensional, and interconnected...
The use of artificial intelligence in critical infrastructure creates a new class of cyber-physical and institutional risks. AI systems depend on extensive data pipelines, complex models, software supply chains, cloud services, interfaces, and continuous...
This paper presents a comprehensive AI-driven framework tailored for intelligent threat detection and response within critical infrastructure systems, including but not limited to energy grids, water treatment facilities, and transportation networks. With...
The rapid advancement of large language models (LLMs) such as GPT and BERT has revolutionized multiple industries, including healthcare, finance, supply chain management, and cybersecurity. While these models demonstrate remarkable capabilities in natural...
With the proliferation of mobile devices and applications, securing mobile applications has become a critical aspect of cybersecurity. Mobile apps are increasingly targeted by cybercriminals seeking to exploit vulnerabilities for data theft, unauthorized...
As the world is rapidly growing towards digitalization, everyone is having a heavy reliance on technology to store sensitive data and make transactions, leading to the convenience of lives. Nonetheless, the ever-growing technology has led to the exposure of...
Zero Trust Security (ZTS) has emerged as a critical cybersecurity framework for protecting sensitive patient data in healthcare networks. The Zero Trust (ZT) model challenges traditional perimeter-based security, assuming that no user, device, or network...
Artificial Intelligence (AI) data governance has become a critical component in ensuring the responsible, secure, and transparent deployment of AI systems across multiple domains. This article explores the implementation of AI data governance in supply...
Cyber insurance and risk transfer mechanisms play a critical role in supporting public health entities' recovery in the aftermath of cyberattacks, which have become increasingly frequent and sophisticated. As public health organizations are highly dependent...
Cloud storage security in government agencies is critical to safeguarding national data from cyber threats, as the increasing reliance on cloud computing introduces new vulnerabilities that adversaries seek to exploit. Government agencies store vast amounts...
Behavioral analytics for detecting insider threats in governmental organizations represents a critical area of research focused on identifying malicious or negligent activities from within an organization, often by individuals with authorized access....
This paper introduces an enhanced, risk-aware software design framework tailored for Internet of Things (IoT) applications, emphasizing the integration of region-specific compliance mandates directly into the development lifecycle. The proposed framework...
As the complexity of modern software systems continues to escalate, organizations face increasing pressure to enhance the efficiency, reliability, and speed of their software quality assurance (SQA) processes. In this dynamic and rapidly evolving landscape,...
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