Rethinking Denial-of-Service: A Conditional Taxonomy Unifying Availability and Sustainability Threats
Mark Dorsett, Scott Man, Tim Koussas

TL;DR
This paper introduces a unified, condition-based taxonomy for classifying denial-of-service attacks, encompassing both traditional and modern threats, with models that facilitate understanding, detection, and mitigation strategies.
Contribution
It presents a novel, formal taxonomy integrating observable conditions, hierarchical reasoning, and conceptual overlaps to unify and extend DoS attack classification.
Findings
The taxonomy classifies known DoS variants like DDoS, LDoS, and EDoS.
It supports identification of emerging and hybrid attack types.
The framework enhances threat modeling and mitigation planning.
Abstract
This paper proposes a unified, condition-based framework for classifying both legacy and cloud-era denial-of-service (DoS) attacks. The framework comprises three interrelated models: a formal conditional tree taxonomy, a hierarchical lattice structure based on order theory, and a conceptual Venn diagram. At its core, the taxonomy introduces six observable conditions (C0-C5) grounded in real-world attack behaviours, including source distribution, traffic volume, infrastructure targeting, and financial exploitation. These conditions enable consistent classification of known attacks-such as DoS, DDoS, LDoS, LDDoS, EDoS, DoW, and DDoW, while supporting identification of emerging or hybrid variants. The lattice structure captures the cumulative satisfaction of conditions, allowing hierarchical reasoning across denial attack classes. The Venn diagram highlights conceptual overlaps between…
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