SIG SEC - Information Security and Privacy
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Paper Type
ERF
Paper Number
1227
Description
This study attempts to mitigate DoS attacks by combining structured and unstructured data. It comprises three modules. Specifically, our cyber-risk assessment module uses input such as DDoS attack characteristics: attack intensity and duration; Massively Multiplayer Online Gaming (MMOG) platform characteristics: vulnerability counts, severity, trends, and effect of cybersecurity spending, along with web articles. Following this, we calculate the expected loss resulting from a DDoS attack on a gaming company. We conclude by suggesting cyber-risk mitigation strategies such as self-protection (technology, compliance, and legal deterrence), self-insurance, or cyber-insurance.
Recommended Citation
Sharma, Kalpit and Mukhopadhyay, Arunabha, "Cyber-risk assessment and mitigation of DDoS attacks using semi-structured data models" (2022). AMCIS 2022 Proceedings. 29.
https://aisel.aisnet.org/amcis2022/sig_sec/sig_sec/29
Cyber-risk assessment and mitigation of DDoS attacks using semi-structured data models
This study attempts to mitigate DoS attacks by combining structured and unstructured data. It comprises three modules. Specifically, our cyber-risk assessment module uses input such as DDoS attack characteristics: attack intensity and duration; Massively Multiplayer Online Gaming (MMOG) platform characteristics: vulnerability counts, severity, trends, and effect of cybersecurity spending, along with web articles. Following this, we calculate the expected loss resulting from a DDoS attack on a gaming company. We conclude by suggesting cyber-risk mitigation strategies such as self-protection (technology, compliance, and legal deterrence), self-insurance, or cyber-insurance.
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