| Title | Measuring the effectiveness of SDN mitigations against cyber attacks |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Koning, R., Graaff, B. D., Meijer, R., Laat, C. D., Grosso, P. |
| Conference Name | 2017 IEEE Conference on Network Softwarization (NetSoft) |
| Keywords | attack mitigation, CAPTCHA, captchas, composability, Computer crime, computer network security, control loop, Cyber Attacks, Human Behavior, human beings, human factors, Measurement, network function virtualisation, network security state, pubcrawl, SARNET-agent, SDN mitigations, secure autonomous response network, Servers, Software, software defined networking, Software Defined Networks, Switches, virtualisation |
| Abstract | To address increasing problems caused by cyber attacks, we leverage Software Defined networks and Network Function Virtualisation governed by a SARNET-agent to enable autonomous response and attack mitigation. A Secure Autonomous Response Network (SARNET) uses a control loop to constantly assess the security state of the network by means of observables. Using a prototype we introduce the metrics impact and effectiveness and show how they can be used to compare and evaluate countermeasures. These metrics become building blocks for self learning SARNET which exhibit true autonomous response. |
| DOI | 10.1109/NETSOFT.2017.8004231 |
| Citation Key | koning_measuring_2017 |
Measuring the effectiveness of SDN mitigations against cyber attacks