BibTeX
@article{IJASEIT10646,
author = {Inka Trisna Dewi and Amang Sudarsono and Prima Kristalina and Mike Yuliana},
title = {MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {10},
number = {6},
year = {2020},
pages = {2328--2336},
keywords = {vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.},
abstract = {Vehicular ad-hoc network is an exciting study that aims to improve driver safety in driving. Vehicle-to-vehicle (V2V) is communications between vehicles that occurs on a VANET using wireless channels. This channel allows vehicles to share personal or safety information with other vehicles. Vehicle communication is potentially vulnerable to adversaries' security attacks that can harm the driver and other legitimate users. Therefore, it requires a high-security system. This research proposes a new scheme, namely the MAPI (Mike-Amang-Prima-Inka), as a modified secret key generation scheme obtained from received signal strength (RSS) values. Our research focuses on obtaining a symmetric key that has a high key formation speed (KFS) with a low-key discrepancy level (KDL), while still thinking about the randomness and ensure safety from passive attackers. In the pre-processing, we use a combination of Kalman Filter and Polynomial Regression by modifying the parameters to produce the best performance. We also modified the grey code in the Modified Multibit (MMB) Quantization method to reduce the quantization bit mismatch. Our approach to the MAPI scheme can assign symmetric keys with better performance than existing schemes, increasing KFS and decreasing KDL up to 100%. Moreover, the scheme can generate a symmetric key that deals with NIST's statistical tests.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10646},
doi = {10.18517/ijaseit.10.6.10646}
}
EndNote
%A Dewi, Inka Trisna
%A Sudarsono, Amang
%A Kristalina, Prima
%A Yuliana, Mike
%D 2020
%T MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS
%B 2020
%9 vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.
%! MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS
%K vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.
%X Vehicular ad-hoc network is an exciting study that aims to improve driver safety in driving. Vehicle-to-vehicle (V2V) is communications between vehicles that occurs on a VANET using wireless channels. This channel allows vehicles to share personal or safety information with other vehicles. Vehicle communication is potentially vulnerable to adversaries' security attacks that can harm the driver and other legitimate users. Therefore, it requires a high-security system. This research proposes a new scheme, namely the MAPI (Mike-Amang-Prima-Inka), as a modified secret key generation scheme obtained from received signal strength (RSS) values. Our research focuses on obtaining a symmetric key that has a high key formation speed (KFS) with a low-key discrepancy level (KDL), while still thinking about the randomness and ensure safety from passive attackers. In the pre-processing, we use a combination of Kalman Filter and Polynomial Regression by modifying the parameters to produce the best performance. We also modified the grey code in the Modified Multibit (MMB) Quantization method to reduce the quantization bit mismatch. Our approach to the MAPI scheme can assign symmetric keys with better performance than existing schemes, increasing KFS and decreasing KDL up to 100%. Moreover, the scheme can generate a symmetric key that deals with NIST's statistical tests.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10646
%R doi:10.18517/ijaseit.10.6.10646
%J International Journal on Advanced Science, Engineering and Information Technology
%V 10
%N 6
%@ 2088-5334
IEEE
Inka Trisna Dewi,Amang Sudarsono,Prima Kristalina and Mike Yuliana,"MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 6, pp. 2328-2336, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.6.10646.
RefMan/ProCite (RIS)
TY - JOUR
AU - Dewi, Inka Trisna
AU - Sudarsono, Amang
AU - Kristalina, Prima
AU - Yuliana, Mike
PY - 2020
TI - MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 6
Y2 - 2020
SP - 2328
EP - 2336
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.
N2 - Vehicular ad-hoc network is an exciting study that aims to improve driver safety in driving. Vehicle-to-vehicle (V2V) is communications between vehicles that occurs on a VANET using wireless channels. This channel allows vehicles to share personal or safety information with other vehicles. Vehicle communication is potentially vulnerable to adversaries' security attacks that can harm the driver and other legitimate users. Therefore, it requires a high-security system. This research proposes a new scheme, namely the MAPI (Mike-Amang-Prima-Inka), as a modified secret key generation scheme obtained from received signal strength (RSS) values. Our research focuses on obtaining a symmetric key that has a high key formation speed (KFS) with a low-key discrepancy level (KDL), while still thinking about the randomness and ensure safety from passive attackers. In the pre-processing, we use a combination of Kalman Filter and Polynomial Regression by modifying the parameters to produce the best performance. We also modified the grey code in the Modified Multibit (MMB) Quantization method to reduce the quantization bit mismatch. Our approach to the MAPI scheme can assign symmetric keys with better performance than existing schemes, increasing KFS and decreasing KDL up to 100%. Moreover, the scheme can generate a symmetric key that deals with NIST's statistical tests.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10646
DO - 10.18517/ijaseit.10.6.10646
RefWorks
RT Journal Article
ID 10646
A1 Dewi, Inka Trisna
A1 Sudarsono, Amang
A1 Kristalina, Prima
A1 Yuliana, Mike
T1 MAPI: Key Generation Scheme for Security in V2V Communication Environment based RSS
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 6
YR 2020
SP 2328
OP 2336
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 vehicle-to-vehicle; secret key generation scheme; modified pre-processing method; modified quantization method.
AB Vehicular ad-hoc network is an exciting study that aims to improve driver safety in driving. Vehicle-to-vehicle (V2V) is communications between vehicles that occurs on a VANET using wireless channels. This channel allows vehicles to share personal or safety information with other vehicles. Vehicle communication is potentially vulnerable to adversaries' security attacks that can harm the driver and other legitimate users. Therefore, it requires a high-security system. This research proposes a new scheme, namely the MAPI (Mike-Amang-Prima-Inka), as a modified secret key generation scheme obtained from received signal strength (RSS) values. Our research focuses on obtaining a symmetric key that has a high key formation speed (KFS) with a low-key discrepancy level (KDL), while still thinking about the randomness and ensure safety from passive attackers. In the pre-processing, we use a combination of Kalman Filter and Polynomial Regression by modifying the parameters to produce the best performance. We also modified the grey code in the Modified Multibit (MMB) Quantization method to reduce the quantization bit mismatch. Our approach to the MAPI scheme can assign symmetric keys with better performance than existing schemes, increasing KFS and decreasing KDL up to 100%. Moreover, the scheme can generate a symmetric key that deals with NIST's statistical tests.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10646
DO - 10.18517/ijaseit.10.6.10646
