TY - GEN
T1 - A statistical modulation type identifier for remote keyless entry transmitters based on extended energy detector
AU - Alaca, Özgür
AU - Boyaci, Ali
AU - Yarkan, Serhan
AU - Aydn, Muhammed Ali
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Remote keyless entry (RKE) systems are an integral part of modern daily life. Vehicle access, drive authorization, and arming/disarming the alarm systems for houses, garages, and/or facilities are instances for popular uses of RKE. Despite their obvious advantages such as gaining access/authorization solely by carrying them, any security breach experienced with remote keyless entrys (RKEs) could end up with cataclysmic consequences. Therefore, manufacturers continuously develop new methods and techniques to fortify their RKEs systems. One of the prominent ways of tackling the inherent security concern is to establish a rapid wireless message exchange mechanism/protocol such that intruders could not have time to place their attacks. However, with recent advances in digital technology along with software-defined radio (SDR), quantification of rapidness becomes crucial for RKE manufacturers. Therefore, in this study, a statistical modulation type identifier for RKEs systems is proposed. Both an automatic modulation type identifier based on complex baseband equivalent of the received signal and an automatic mode detector are employed as an extension of traditional energy detector. This way, presumable bottlenecks for the receiver at intruder side are identified and elaborated. Measurement results are provided along with relevant discussions. Results demonstrate that frequency compensation along with energy detection are the two indispensable serial modules and provide the bottleneck for any receiver at intruder's side.
AB - Remote keyless entry (RKE) systems are an integral part of modern daily life. Vehicle access, drive authorization, and arming/disarming the alarm systems for houses, garages, and/or facilities are instances for popular uses of RKE. Despite their obvious advantages such as gaining access/authorization solely by carrying them, any security breach experienced with remote keyless entrys (RKEs) could end up with cataclysmic consequences. Therefore, manufacturers continuously develop new methods and techniques to fortify their RKEs systems. One of the prominent ways of tackling the inherent security concern is to establish a rapid wireless message exchange mechanism/protocol such that intruders could not have time to place their attacks. However, with recent advances in digital technology along with software-defined radio (SDR), quantification of rapidness becomes crucial for RKE manufacturers. Therefore, in this study, a statistical modulation type identifier for RKEs systems is proposed. Both an automatic modulation type identifier based on complex baseband equivalent of the received signal and an automatic mode detector are employed as an extension of traditional energy detector. This way, presumable bottlenecks for the receiver at intruder side are identified and elaborated. Measurement results are provided along with relevant discussions. Results demonstrate that frequency compensation along with energy detection are the two indispensable serial modules and provide the bottleneck for any receiver at intruder's side.
KW - Energy detector
KW - Remote keyless entry
KW - Software-defined radio
KW - Statistical modulation
KW - Wireless message exchange mechanism/protocol
UR - http://www.scopus.com/inward/record.url?scp=85070518856&partnerID=8YFLogxK
U2 - 10.1109/ISDFS.2019.8757512
DO - 10.1109/ISDFS.2019.8757512
M3 - Conference contribution
AN - SCOPUS:85070518856
T3 - 7th International Symposium on Digital Forensics and Security, ISDFS 2019
BT - 7th International Symposium on Digital Forensics and Security, ISDFS 2019
A2 - Varol, Asaf
A2 - Karabatak, Murat
A2 - Varol, Cihan
A2 - Teke, Sevginur
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Symposium on Digital Forensics and Security, ISDFS 2019
Y2 - 10 June 2019 through 12 June 2019
ER -