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Related papers: Incident-Specific Cyber Insurance

200 papers

Traditional insurance pricing relies on risk-based principles that ensure actuarial fairness and solvency but do not explicitly account for policyholders' price sensitivity. We formulate insurance pricing as a decision-making problem and…

Machine Learning · Statistics 2026-05-29 Sascha Günther , Dimitri Semenovich , Mario V. Wüthrich

Background: Cyber offences, such as hacking, malware creation and distribution, and online fraud, present a substantial threat to organizations attempting to safeguard their data and information. By understanding the evolving…

Cryptography and Security · Computer Science 2022-03-29 Claudia Peersman , Emma Williams , Matthew Edwards , Awais Rashid

We study a generalization of the advice complexity model of online computation in which the advice is provided by an untrusted source. Our objective is to quantify the impact of untrusted advice so as to design and analyze online algorithms…

Data Structures and Algorithms · Computer Science 2024-04-17 Spyros Angelopoulos , Christoph Dürr , Shendan Jin , Shahin Kamali , Marc Renault

This paper focuses on botnet economics and design of defensive strategies. It takes the view that by combining scarce information on the attackers business models, with rational economic analysis of these business processes, one can…

Cryptography and Security · Computer Science 2013-09-04 L-F Pau

In order to determine a suitable automobile insurance policy premium one needs to take into account three factors, the risk associated with the drivers and cars on the policy, the operational costs associated with management of the policy…

Machine Learning · Computer Science 2022-09-08 Patrick Hosein

Cyber Security plays an important role in the field of information technology .Securing the information have become one of the biggest challenges in the present day. When ever we think about the cyber security the first thing that comes to…

Cryptography and Security · Computer Science 2014-02-11 G. Nikhita Reddy , G. J. Ugander Reddy

In today's globally networked environment, information security incidents can inflict staggering financial losses on organizations. Industry reports indicate that fundamental problems exist with the application of current linear plan-driven…

Cryptography and Security · Computer Science 2014-08-12 George Grispos , William Bradley Glisson , Tim Storer

Risk assessment is a major challenge for supply chain managers, as it potentially affects business factors such as service costs, supplier competition and customer expectations. The increasing interconnectivity between organisations has put…

Machine Learning · Statistics 2019-11-27 Alberto Redondo , Alberto Torres-Barrán , David Ríos Insua , Jordi Domingo

This paper studies an optimal insurance contracting problem in which the preferences of the decision maker given by the sum of the expected loss and a convex, increasing function of a deviation measure. As for the deviation measure, our…

Risk Management · Quantitative Finance 2023-12-05 Tim J. Boonen , Xia Han

Many taxonomies exist to organize cybercrime incidents into ontological categories. We examine some of the taxonomies introduced in the literature; providing a framework, and analysis, of how best to leverage different taxonomy structures…

Methodology · Statistics 2025-08-15 Ryan Warnick

The frequent occurrence of cyber risks and their serious economic consequences have created a growth market for cyber insurance. The calculation of aggregate losses, an essential step in insurance pricing, has attracted considerable…

Risk Management · Quantitative Finance 2024-08-27 Na Ren , Xin Zhang

Network diversity has been widely recognized as an effective defense strategy to mitigate the spread of malware. Optimally diversifying network resources can improve the resilience of a network against malware propagation. This work…

Cryptography and Security · Computer Science 2019-05-17 Tingting Li , Cheng Feng , Chris Hankin

Quantifying cyber risks is essential for organizations to grasp their vulnerability to threats and make informed decisions. However, current approaches still need to work on blending economic viewpoints to provide insightful analysis. To…

Cryptography and Security · Computer Science 2024-05-07 Muriel Figueredo Franco , Aiatur Rahaman Mullick , Santosh Jha

In an ever more connected world, awareness has grown towards the hazards and vulnerabilities that the networking on sensitive digitized information pose for all parties involved. This vulnerability rests in a number of factors, both human…

Human-Computer Interaction · Computer Science 2023-04-17 Rebekah Rousi

Repair operations in distributed storage systems potentially expose the data to malicious acts of passive eavesdroppers or active adversaries, which can be detrimental to the security of the system. This paper presents erasure codes and…

Information Theory · Computer Science 2015-08-18 Nihar B. Shah , K. V. Rashmi , Kannan Ramchandran , P. Vijay Kumar

There continue to be numerous breaches publicised pertaining to cyber security despite security practices being applied within industry for many years. This article is intended to be the first in a number of articles as research into cyber…

Cryptography and Security · Computer Science 2016-01-18 Mark Evans , Leandros A. Maglaras , Ying He , Helge Janicke

As new technologies such as the Internet of Things (IoT) are integrated into Critical National Infrastructures (CNI), new cybersecurity threats emerge that require specific security solutions. Approaches used for analysis include the…

Cryptography and Security · Computer Science 2019-04-03 Uchenna D Ani , Jeremy D McK. Watson , Jason R. C. Nurse , Al Cook , Carsten Maple

Incident management is a classical topic in cyber security. Recently, the European Union (EU) has started to consider also the relation between cyber security incidents and cyber security crises. These considerations and preparations,…

Cryptography and Security · Computer Science 2025-10-07 Jukka Ruohonen , Kalle Rindell , Simone Busetti

Contextual bandits with average-case statistical guarantees are inadequate in risk-averse situations because they might trade off degraded worst-case behaviour for better average performance. Designing a risk-averse contextual bandit is…

Machine Learning · Statistics 2023-07-11 Mónika Farsang , Paul Mineiro , Wangda Zhang

We develop a model for contagion in reinsurance networks by which primary insurers' losses are spread through the network. Our model handles general reinsurance contracts, such as typical excess of loss contracts. We show that simpler…

Risk Management · Quantitative Finance 2020-03-25 Ariah Klages-Mundt , Andreea Minca