Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Proceedings of the IEEE Vehicular Networking Conference 2014 (VNC 2014) |
| Place of Publication | USA |
| Publisher | IEEE |
| Pages | 135-142 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-4799-7660-7 |
| DOIs | |
| Publication status | Published - Dec 2014 |
| Event | IEEE Vehicular Networking Conference, VNC 2014 - Paderborn, Germany Duration: 3 Dec 2014 → 5 Dec 2014 http://www.ieee-vnc.org/2014/program.html |
Publication series
| Name | |
|---|---|
| Publisher | IEEE |
Conference
| Conference | IEEE Vehicular Networking Conference, VNC 2014 |
|---|---|
| Abbreviated title | VNC |
| Country | Germany |
| City | Paderborn |
| Period | 3/12/14 → 5/12/14 |
| Internet address |
Keywords
- EWI-25524
- SCS-Cybersecurity
- information aggregation
- multi-hop communication
- METIS-309792
- Security
- VANETS
- IR-94313
- EC Grant Agreement nr.: FP7/269994
Cite this
}
Redundancy-based Statistical Analysis for Insider Attack Detection in VANET Aggregation Schemes. / Dietzel, Stefan; Gürtler, Julian; van der Heijden, R.; van der Heijden, Rens; Kargl, Frank.
Proceedings of the IEEE Vehicular Networking Conference 2014 (VNC 2014). USA : IEEE, 2014. p. 135-142.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Redundancy-based Statistical Analysis for Insider Attack Detection in VANET Aggregation Schemes
AU - Dietzel, Stefan
AU - Gürtler, Julian
AU - van der Heijden, R.
AU - van der Heijden, Rens
AU - Kargl, Frank
N1 - eemcs-eprint-25524
PY - 2014/12
Y1 - 2014/12
N2 - In Vehicular Ad-hoc Networks (VANETs), vehicles exchange messages to enhance safety, driving efficiency, and comfort. The limited wireless channel capacity is a challenge especially for traffic efficiency applications, such as traffic in- formation systems. In such systems, a large number of traffic or road status observations needs to be disseminated quickly to interested vehicles, often via multi-hop forwarding and in a larger geographic area than what is needed for traffic safety applications. In-network aggregation protocols are a viable tool to enhance scalability of such applications. But from a security perspective, they open new attack vectors for insider attackers, because vehicles collaboratively merge and modify messages dur- ing dissemination. Moreover, countermeasures using too much communication bandwidth negatively affect scalability. In this paper, we present a bandwidth-efficient protection mechanism for in-network aggregation based on data-consistency checking. We combine data mining techniques to detect false information with a filtering technique for forwarding paths that limits the influence of attackers on aggregated data. Simulation results show that our approach can successfully detect common attacks on aggregation while maintaining bandwidth efficiency.
AB - In Vehicular Ad-hoc Networks (VANETs), vehicles exchange messages to enhance safety, driving efficiency, and comfort. The limited wireless channel capacity is a challenge especially for traffic efficiency applications, such as traffic in- formation systems. In such systems, a large number of traffic or road status observations needs to be disseminated quickly to interested vehicles, often via multi-hop forwarding and in a larger geographic area than what is needed for traffic safety applications. In-network aggregation protocols are a viable tool to enhance scalability of such applications. But from a security perspective, they open new attack vectors for insider attackers, because vehicles collaboratively merge and modify messages dur- ing dissemination. Moreover, countermeasures using too much communication bandwidth negatively affect scalability. In this paper, we present a bandwidth-efficient protection mechanism for in-network aggregation based on data-consistency checking. We combine data mining techniques to detect false information with a filtering technique for forwarding paths that limits the influence of attackers on aggregated data. Simulation results show that our approach can successfully detect common attacks on aggregation while maintaining bandwidth efficiency.
KW - EWI-25524
KW - SCS-Cybersecurity
KW - information aggregation
KW - multi-hop communication
KW - METIS-309792
KW - Security
KW - VANETS
KW - IR-94313
KW - EC Grant Agreement nr.: FP7/269994
U2 - 10.1109/VNC.2014.7013332
DO - 10.1109/VNC.2014.7013332
M3 - Conference contribution
SN - 978-1-4799-7660-7
SP - 135
EP - 142
BT - Proceedings of the IEEE Vehicular Networking Conference 2014 (VNC 2014)
PB - IEEE
CY - USA
ER -