Toward Stream-Based IP Flow Analysis
| Authors | |
|---|---|
| Year of publication | 2017 |
| Type | Article in Periodical |
| Magazine / Source | IEEE Communications Magazine |
| MU Faculty or unit | |
| Citation | |
| web | https://ieeexplore.ieee.org/document/7981527/ |
| Doi | http://dx.doi.org/10.1109/MCOM.2017.1600972 |
| Field | Informatics |
| Keywords | IP networks; Monitoring; Real-time systems; Data analysis; Computer security; Delays; Telecommunication traffic |
| Attached files | |
| Description | Analyzing IP flows is an essential part of traffic measurement for cyber security. Based on information from IP flows, it is possible to discover the majority of concurrent cyber threats in highspeed, large-scale networks. Some major prevailing challenges for IP flow analysis include, but are not limited to, analysis over a large volume of IP flows, scalability issues, and detecting cyber threats in real time. In this article, we discuss the transformation of present IP flow analysis into a stream-based approach to face current challenges in IP flow analysis. We examine the possible positive and negative impacts of the transformation and present examples of real-world applications, along with our recommendations. Our ongoing results show that stream-based IP flow analysis successfully meets the above-mentioned challenges and is suitable for achieving real-time network security analysis and situational awareness. |
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