Fail‐Controlled Classifiers: A Swiss‐Army Knife Toward Trustworthy Systems
ABSTRACT Background Modern critical systems often require to take decisions and classify data and scenarios autonomously without having detrimental effects on people, infrastructures or the environment, ensuring desired dependability attributes. Researchers typically strive to craft classifiers with perfect accuracy, which should be always correct and ...
Fahad Ahmed Khokhar +4 more
wiley +1 more source
Incident-aware smart prioritization framework for penetration testing and prevention of URL-based cybersecurity attacks in industry 4.0 IoT networks. [PDF]
Nurlan Z +7 more
europepmc +1 more source
Real‐Time Detection and Prevention of DoS Attack in Unmanned Marine Vehicles Using Machine Learning
ABSTRACT Unmanned marine vehicles (UMVs) are one of the most crucial components of the underwater communication and surveillance system in the marine and oceanographic environment. This research introduces a novel approach to stabilize the connection in an unstable underwater environment by inheriting features of communication velocities.
Noman Ali +8 more
wiley +1 more source
AAPM working group on cybersecurity report 438: A white paper on cybersecurity management for business continuity in radiology and radiation therapy. [PDF]
Siochi RA +7 more
europepmc +1 more source
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
ABSTRACT The rapid expansion of artificial intelligence (AI) in digital platforms used by youth has created significant challenges related to privacy, autonomy, and data protection. While AI‐driven personalization offers enhanced user experiences, it often operates without clear ethical boundaries, leaving young digital users vulnerable to data ...
Austin Shouli +3 more
wiley +1 more source
Mission Aware Cyber‐Physical Security
ABSTRACT Perimeter cybersecurity, while essential, has proven insufficient against sophisticated, coordinated, and cyber‐physical attacks. In contrast, mission‐centric cybersecurity emphasizes finding evidence of attack impact on mission success, allowing for targeted resource allocation to mitigate vulnerabilities and protect critical assets.
Georgios Bakirtzis +3 more
wiley +1 more source
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Moila RL, Velempini M.
europepmc +1 more source
Geopolitical Risk and Food Inflation
ABSTRACT This study investigates the complex relationship between geopolitical risk and food inflation, a critical issue for global food security. Using panel data from 177 countries from 2019 to 2021, the research employs a random effects estimation model to analyze the dynamic.
Izaete Leite Nogueira +2 more
wiley +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]
Nauman M +4 more
europepmc +1 more source

