University of Debrecen
To date, the measurement of user-perceived degradation of quality of service during Denial of Service (DoS) attacks remained an elusive goal. Current approaches mostly rely on lower level traffic measurements such as throughput, utilization, loss rate, and latency. They fail to monitor all traffic parameters that signal service degradation for diverse applications, and to map application Quality-of-Service (QoS) requirements into specific parameter thresholds. To objectively evaluate an attack's impact on network services, its severity and the effectiveness of a potential defense, the authors need precise, quantitative and comprehensive DoS impact metrics that are applicable to any test scenario.