| Title | Toward Network-based DDoS Detection in Software-defined Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Jevtic, Stefan, Lotfalizadeh, Hamidreza, Kim, Dongsoo S. |
| Conference Name | Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6385-3 |
| Keywords | AIS, Bio-inspired, BIOS Security, DDoS, Human Behavior, Metrics, ns-3, OpenFlow, pubcrawl, Resiliency, RT, Scalability, SDN |
| Abstract | To combat susceptibility of modern computing systems to cyberattack, identifying and disrupting malicious traffic without human intervention is essential. To accomplish this, three main tasks for an effective intrusion detection system have been identified: monitor network traffic, categorize and identify anomalous behavior in near real time, and take appropriate action against the identified threat. This system leverages distributed SDN architecture and the principles of Artificial Immune Systems and Self-Organizing Maps to build a network-based intrusion detection system capable of detecting and terminating DDoS attacks in progress. |
| URL | http://doi.acm.org/10.1145/3164541.3164562 |
| DOI | 10.1145/3164541.3164562 |
| Citation Key | jevtic_toward_2018 |
Toward Network-based DDoS Detection in Software-defined Networks