Abstract
Majority of traffic analysis tools today are based on NetFlow technology including its more recent successor, IPFIX protocol. Even with the flexibility of IPFIX in mind, processing traffic in realtime is still difficult. Given the urgent need for lightweight methods in the area, this paper is crossing inter-disciplinary borders to find a solution. Specifically, this paper looks into a possibility of applying video compression to 2D visualization of traffic in search for anomalies. The proposed method is applied to detection of Flash Crowds in traffic and is found successful when compared to other methods.
| Original language | English |
|---|---|
| Pages (from-to) | 91-105 |
| Number of pages | 15 |
| Journal | Telecommunication Systems |
| Volume | 57 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2014 |
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Keywords
- Anomaly detection
- Flash Crowd
- Traffic analysis
- Video compression
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
A graphical method for detection of Flash Crowds in traffic. / Zhanikeev, Marat; Tanaka, Yoshiaki.
In: Telecommunication Systems, Vol. 57, No. 1, 2014, p. 91-105.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A graphical method for detection of Flash Crowds in traffic
AU - Zhanikeev, Marat
AU - Tanaka, Yoshiaki
PY - 2014
Y1 - 2014
N2 - Majority of traffic analysis tools today are based on NetFlow technology including its more recent successor, IPFIX protocol. Even with the flexibility of IPFIX in mind, processing traffic in realtime is still difficult. Given the urgent need for lightweight methods in the area, this paper is crossing inter-disciplinary borders to find a solution. Specifically, this paper looks into a possibility of applying video compression to 2D visualization of traffic in search for anomalies. The proposed method is applied to detection of Flash Crowds in traffic and is found successful when compared to other methods.
AB - Majority of traffic analysis tools today are based on NetFlow technology including its more recent successor, IPFIX protocol. Even with the flexibility of IPFIX in mind, processing traffic in realtime is still difficult. Given the urgent need for lightweight methods in the area, this paper is crossing inter-disciplinary borders to find a solution. Specifically, this paper looks into a possibility of applying video compression to 2D visualization of traffic in search for anomalies. The proposed method is applied to detection of Flash Crowds in traffic and is found successful when compared to other methods.
KW - Anomaly detection
KW - Flash Crowd
KW - Traffic analysis
KW - Video compression
UR - http://www.scopus.com/inward/record.url?scp=84906946414&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906946414&partnerID=8YFLogxK
U2 - 10.1007/s11235-013-9768-0
DO - 10.1007/s11235-013-9768-0
M3 - Article
AN - SCOPUS:84906946414
VL - 57
SP - 91
EP - 105
JO - Telecommunication Systems
JF - Telecommunication Systems
SN - 1018-4864
IS - 1
ER -