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Understand, Manage, and Measure Cyber Risk® Practical Solutions for Creating a Sustainable Cyber Program
When it comes to managing cybersecurity in an organization, most tussle with basic foundational components. This practitioner’s guide lays down those...
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Studying the impact of risk assessment analytics on risk awareness and code review performance
While code review is a critical component of modern software quality assurance, defects can still slip through the review process undetected....
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Principles for Risk
In today’s highly technological world, the risk is unavoidable. Therefore, handling risks correctly is paramount in all phases of develo** and...
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A Methodology for Cybersecurity Risk Assessment in Supply Chains
Supply chain cyberattacks are on the rise as attackers are increasingly exploiting the intricate network of supplier connections between companies....
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Road Scene Risk Estimation Using Driving Video
In this study, we propose a method for potential risk estimation of road scenes from driving videos and investigate the relationship between the...
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Risk Management in the Design of Computer Network Topology
The problems of risk management are considered from different points of view. Most often, they are investigated as part of organizational management....
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The Strategic Management of Disaster Risk Mitigation
Systemic risks are embedded in the complex networks of an increasingly interconnected world. Achieving the Sendai Framework for Disaster Risk...
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Cyber Risk Assessment Approach in Connected Autonomous Vehicles
The rise of automated technologies due to recent advances in Intelligent Transportation systems (ITS) from autonomous delivery services to physical...
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Representing Cybersecurity Risk
A picture is said to be worth a thousand words. The same can be said of a trend line. More precisely if less pithily, a trend line reveals how a...
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Enterprise Cyber Risk Management as a Value Creator Leverage Cybersecurity for Competitive Advantage
This book will help you learn the importance of organizations treating enterprise cyber risk management (ECRM) as a value creator, a business...
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PRS-Net: Interpretable Polygenic Risk Scores via Geometric Learning
Polygenic risk score (PRS) serves as a valuable tool for predicting the genetic risk of complex human diseases for individuals, playing a pivotal...
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Risk Stratification of Breast Cancer Patients: Integrating Epidemiology, Risk Factors, and Prognostic Markers for Sustainable Development
The classification of breast cancer risk into high and low categories is essential for individualized treatment planning and enhanced patient...
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Using Social Sensing to Validate Flood Risk Modelling in England
Floods are amongst the most severe natural disasters. Accurate flood risk maps are vital for emergency response operations and long-term flood...
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Risk-Aware Motion Planning for Very-Large-Scale Robotics Systems Using Conditional Value-at-Risk
The field of Very-Large-Scale Robotics (VLSR) has garnered significant attention due to its ability to tackle complex and coordinated tasks. However,...
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RAFA Model. Rethinking Cyber Risk Management in Organizations
In a highly volatile scenario such as the current one, current cyber risk management practices, based on standards and best practices, begin to lose...
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Product Incremental Security Risk Assessment Using DevSecOps Practices
Security risk assessment is often a heavy manual process, making it expensive to perform. DevOps, that aims at improving software quality and speed...
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Risk and artificial general intelligence
Artificial General Intelligence (AGI) is said to pose many risks, be they catastrophic, existential and otherwise. This paper discusses whether the...
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Credit Risk Assessment - A Machine Learning Approach
Banks are foregoing their present reserves for future sources of Revenue. This source is associated with a risk called credit default risk which...
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ANFIS for risk estimation in risk-based access control model for smart homes
The risk-based access control model is one of the dynamic models that use the security risk as a criterion to decide the access decision for each...
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Novel embeddings improve the prediction of risk perception
We assess whether the classic psychometric paradigm of risk perception can be improved or supplanted by novel approaches relying on language...
