Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Ransomware and Reputation
View through CrossRef
Ransomware is a particular form of cyber-attack in which a victim loses access to either his electronic device or files unless he pays a ransom to criminals. A criminal’s ability to make money from ransomware critically depends on victims believing that the criminal will honour ransom payments. In this paper we explore the extent to which a criminal can build trust through reputation. We demonstrate that there are situations in which it is optimal for the criminal to always return the files and situations in which it is not. We argue that the ability to build reputation will depend on how victims distinguish between different ransomware strands. If ransomware is to survive as a long term revenue source for criminals then they need to find ways of building a good reputation.
Title: Ransomware and Reputation
Description:
Ransomware is a particular form of cyber-attack in which a victim loses access to either his electronic device or files unless he pays a ransom to criminals.
A criminal’s ability to make money from ransomware critically depends on victims believing that the criminal will honour ransom payments.
In this paper we explore the extent to which a criminal can build trust through reputation.
We demonstrate that there are situations in which it is optimal for the criminal to always return the files and situations in which it is not.
We argue that the ability to build reputation will depend on how victims distinguish between different ransomware strands.
If ransomware is to survive as a long term revenue source for criminals then they need to find ways of building a good reputation.
Related Results
Early Detection of Windows Cryptographic Ransomware Based on Pre-Attack API Calls Features and Machine Learning
Early Detection of Windows Cryptographic Ransomware Based on Pre-Attack API Calls Features and Machine Learning
Ransomware attacks are currently one of cybersecurity's greatest and most alluring threats. Antivirus software is frequently ineffective against zero-day malware and ransomware att...
Effects of Ransomware: Analysis, Challenges and Future Perspective
Effects of Ransomware: Analysis, Challenges and Future Perspective
This review paper highlights the challenges and best practices in malware analysis, specifically focusing on the age of ransomware. It provides an overview of malware and its impac...
Research on Performance Incentive Mechanism of General Practitioners under the Consideration of Reputation Effect
Research on Performance Incentive Mechanism of General Practitioners under the Consideration of Reputation Effect
Abstract
BackgroundIn China, General practitioners (GPs) have a weaker reputation than specialists, which leads to their low professional identity. Therefore, GPs’ reputati...
Optimizing Blockchain-Based Cybersecurity Systems to Strengthen Resilience Against Ransomware Attacks : A Systematic Literature Review
Optimizing Blockchain-Based Cybersecurity Systems to Strengthen Resilience Against Ransomware Attacks : A Systematic Literature Review
This study aims to address the challenges and propose solutions for the Optimization of Blockchain-Based Cybersecurity Systems to Enhance Resilience Against Ransomware Attacks usin...
A Proposed Methodology to Mitigate the Ransomware Attack
A Proposed Methodology to Mitigate the Ransomware Attack
Now a day’s network security becomes more important to organizations, government offices. With the fast advancement of the innovation, assaults throughout the years have turned out...
Reputation and cooperation in social dilemma games
Reputation and cooperation in social dilemma games
A human solution to the problem of cooperation is the maintenance of informal reputation hierarchies. Reputational information contributes to cooperation by providing guidelines ab...
Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection
Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection
Ransomware is a new cybersecurity attack with huge financial and operational impact in industries globally. In this paper, an investigation of utilizing machine learning algorithms...
To pay or not: game theoretic models of ransomware
To pay or not: game theoretic models of ransomware
Abstract
Ransomware is a type of malware that encrypts files and demands a ransom from victims. It can be viewed as a form of kidnapping in which the criminal takes ...