Detection of DDoS attack via deep packet analysis in real time systems
| Title | Detection of DDoS attack via deep packet analysis in real time systems |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Özer, E., İskefiyeli, M. |
| Conference Name | 2017 International Conference on Computer Science and Engineering (UBMK) |
| Publisher | IEEE |
| ISBN Number | 978-1-5386-0930-9 |
| Keywords | Computer crime, computer network security, Cyber Attacks, cyber security, Databases, DDoS Attack, deep packet analysis, deep packet inspection, Filtering, Internet, Internet technologies, known attack patterns, Libraries, Monitoring, packet filtering, pubcrawl, Radiation detectors, real time systems, Real-time Systems, resilience, Resiliency, Scalability, telecommunication traffic |
| Abstract | One of the biggest problems of today's internet technologies is cyber attacks. In this paper whether DDoS attacks will be determined by deep packet inspection. Initially packets are captured by listening of network traffic. Packet filtering was achieved at desired number and type. These packets are recorded to database to be analyzed, daily values and average values are compared by known attack patterns and will be determined whether a DDoS attack attempts in real time systems. |
| URL | https://ieeexplore.ieee.org/document/8093526 |
| DOI | 10.1109/UBMK.2017.8093526 |
| Citation Key | ozer_detection_2017 |
- known attack patterns
- telecommunication traffic
- Scalability
- Resiliency
- resilience
- real-time systems
- real time systems
- Radiation detectors
- pubcrawl
- packet filtering
- Monitoring
- Libraries
- Computer crime
- Internet technologies
- internet
- Filtering
- deep packet inspection
- deep packet analysis
- DDoS Attack
- Databases
- cyber security
- Cyber Attacks
- computer network security