Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628323
B. Turan, Gokhan Gurbilek, A. Uyrus, S. Ergen
Vehicular visible light communication (V2LC) has recently gained popularity as a complementary technology to radio frequency (RF) based vehicular communication schemes due to its low-cost, secure and RF-interference free nature. In this paper, we propose outdoor vehicular visible light communication (V2LC) frequency domain channel sounding based channel model characterization under night, sunset and sun conditions with the usage of vector network analyzer (VNA) and commercial off-the-shelf (COTS) automotive light emitting diode (LED) light. We further bring forward a new practical system bandwidth criterion named as effective usable bandwidth (EUB) for an end-to-end V2LC system with respect to the real world measurements. We demonstrate outdoor static V2LC channel measurement results, taking into account vehicle light emitting diode (LED) response, road reflections from nearby vehicles and various daylight conditions with respect to varying inter-vehicular distances. Measurement results indicate that, sunlight decreases system effective usable bandwidth due to the limited dynamic range of avalanche photodiode (APD), nearby vehicles cause constructive interference whereas road reflections change time dispersion characteristics of the V2LC channel.
{"title":"Vehicular VLC Frequency Domain Channel Sounding and Characterization","authors":"B. Turan, Gokhan Gurbilek, A. Uyrus, S. Ergen","doi":"10.1109/VNC.2018.8628323","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628323","url":null,"abstract":"Vehicular visible light communication (V2LC) has recently gained popularity as a complementary technology to radio frequency (RF) based vehicular communication schemes due to its low-cost, secure and RF-interference free nature. In this paper, we propose outdoor vehicular visible light communication (V2LC) frequency domain channel sounding based channel model characterization under night, sunset and sun conditions with the usage of vector network analyzer (VNA) and commercial off-the-shelf (COTS) automotive light emitting diode (LED) light. We further bring forward a new practical system bandwidth criterion named as effective usable bandwidth (EUB) for an end-to-end V2LC system with respect to the real world measurements. We demonstrate outdoor static V2LC channel measurement results, taking into account vehicle light emitting diode (LED) response, road reflections from nearby vehicles and various daylight conditions with respect to varying inter-vehicular distances. Measurement results indicate that, sunlight decreases system effective usable bandwidth due to the limited dynamic range of avalanche photodiode (APD), nearby vehicles cause constructive interference whereas road reflections change time dispersion characteristics of the V2LC channel.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115816716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628321
Jithin Zacharias, Sibylle B. Fröschle
In this paper we explore a novel approach for misbehavior detection in Vehicular Ad-Hoc Networks (VANETs) using local traffic density. The approach is based on measuring local traffic density from two independent sensors and representing it as evidence for certain traffic situation. Dempster rule of combination is used for fusing together multiple pieces of evidence from reliable and unreliable sensors to detect the misbehavior. The approach is particularly suited to detect illusion attacks, which is still a challenge for vehicular communication. We motivate and discuss the approach and demonstrate its potential by an example scenario considering illusion attack.
{"title":"Misbehavior detection system in VANETs using local traffic density","authors":"Jithin Zacharias, Sibylle B. Fröschle","doi":"10.1109/VNC.2018.8628321","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628321","url":null,"abstract":"In this paper we explore a novel approach for misbehavior detection in Vehicular Ad-Hoc Networks (VANETs) using local traffic density. The approach is based on measuring local traffic density from two independent sensors and representing it as evidence for certain traffic situation. Dempster rule of combination is used for fusing together multiple pieces of evidence from reliable and unreliable sensors to detect the misbehavior. The approach is particularly suited to detect illusion attacks, which is still a challenge for vehicular communication. We motivate and discuss the approach and demonstrate its potential by an example scenario considering illusion attack.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628395
L. Pinto, P. Santos, L. Almeida, Ana Aguiar
Vehicular communication is rapidly becoming a standard reality, and precise models are necessary for accurate performance estimates. Alongside cars and trucks, smaller vehicles such as scooters and bicycles are also set to participate in V2X networking, but have received considerably less attention. In this work, we present an extensive characterization of the gain pattern of a bicycle and antenna system for the IEEE 802.11g standard. We measure the radiation patterns of the antenna of a commodity 2.4 GHz WiFi module mounted on six distinct positions on the body of six archetypal bicycles in an anechoic chamber. The RSSI sample set per angle and antenna position is characterized statistically and input into an empirical model of the gain pattern of the bicycle-antenna system. We define a bicycle-to-X propagation model that pairs the proposed bicycle-antenna gain and a log-distance shadowing path loss model, and conduct outdoor measurement campaign for evaluation. We observe that the gain model measured in chamber matches the measured RSSI at small distances, whereas at larger distances it provides less accuracy.
{"title":"Characterization and Modeling of the Bicycle-Antenna System for the 2.4GHz ISM Band","authors":"L. Pinto, P. Santos, L. Almeida, Ana Aguiar","doi":"10.1109/VNC.2018.8628395","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628395","url":null,"abstract":"Vehicular communication is rapidly becoming a standard reality, and precise models are necessary for accurate performance estimates. Alongside cars and trucks, smaller vehicles such as scooters and bicycles are also set to participate in V2X networking, but have received considerably less attention. In this work, we present an extensive characterization of the gain pattern of a bicycle and antenna system for the IEEE 802.11g standard. We measure the radiation patterns of the antenna of a commodity 2.4 GHz WiFi module mounted on six distinct positions on the body of six archetypal bicycles in an anechoic chamber. The RSSI sample set per angle and antenna position is characterized statistically and input into an empirical model of the gain pattern of the bicycle-antenna system. We define a bicycle-to-X propagation model that pairs the proposed bicycle-antenna gain and a log-distance shadowing path loss model, and conduct outdoor measurement campaign for evaluation. We observe that the gain model measured in chamber matches the measured RSSI at small distances, whereas at larger distances it provides less accuracy.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"367 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120896004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628387
Christian Vaas, Marc Roeschlin, Panos Papadimitratos, I. Martinovic
The main objective of Vehicular Ad-hoc Networks (VANETs) is to enable a safer and more efficient driving experience by augmenting situational awareness on the road. Therefore, vehicles participating in a VANET continuously broadcast their state and location in Cooperative Awareness Messages (CAMs). While this information can be of great value to all road users, the transmission of such sensitive data poses a huge threat to privacy if messages can be linked to the sender. Signing messages using ephemeral pseudonyms is a widely accepted mitigation strategy that provides the security properties to guarantee the safe operation of VANET applications while offering conditional privacy to users. Pseudonym schemes allow On-Board Units (OBUs) to acquire a set of credentials and periodically exchange the signing material, dividing a journey into smaller, less meaningful segments. However, it is crucial to prevent an attacker from observing when pseudonym changes occur. In this poster, we investigate the resilience of a pseudonym change strategy based on encrypted mix-zones against the tracking of the physical properties inherent in the message transmission. By encrypting vehicle messages, Cryptographic mix-zones (CMIXs) offer protection against an eavesdropper external to the VANET, while at the same time preserving the integrity of safety applications. Even though CAMs containing location information are illegible for the attacker, the physical properties of radio signals, such as time of flight, cannot be obfuscated using encryption. To evaluate these properties, we acquired raw In-phase and Quadrature (I/Q) samples from transmissions of a NEXCOM OBU using Software Defined Radios (SDRs). Our results indicate that physical signal properties could be used to track vehicles through a CMIX.
{"title":"Poster: Tracking Vehicles Through Encrypted Mix-Zones Using Physical Layer Properties","authors":"Christian Vaas, Marc Roeschlin, Panos Papadimitratos, I. Martinovic","doi":"10.1109/VNC.2018.8628387","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628387","url":null,"abstract":"The main objective of Vehicular Ad-hoc Networks (VANETs) is to enable a safer and more efficient driving experience by augmenting situational awareness on the road. Therefore, vehicles participating in a VANET continuously broadcast their state and location in Cooperative Awareness Messages (CAMs). While this information can be of great value to all road users, the transmission of such sensitive data poses a huge threat to privacy if messages can be linked to the sender. Signing messages using ephemeral pseudonyms is a widely accepted mitigation strategy that provides the security properties to guarantee the safe operation of VANET applications while offering conditional privacy to users. Pseudonym schemes allow On-Board Units (OBUs) to acquire a set of credentials and periodically exchange the signing material, dividing a journey into smaller, less meaningful segments. However, it is crucial to prevent an attacker from observing when pseudonym changes occur. In this poster, we investigate the resilience of a pseudonym change strategy based on encrypted mix-zones against the tracking of the physical properties inherent in the message transmission. By encrypting vehicle messages, Cryptographic mix-zones (CMIXs) offer protection against an eavesdropper external to the VANET, while at the same time preserving the integrity of safety applications. Even though CAMs containing location information are illegible for the attacker, the physical properties of radio signals, such as time of flight, cannot be obfuscated using encryption. To evaluate these properties, we acquired raw In-phase and Quadrature (I/Q) samples from transmissions of a NEXCOM OBU using Software Defined Radios (SDRs). Our results indicate that physical signal properties could be used to track vehicles through a CMIX.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628461
Puttipong Leakkaw, S. Panichpapiboon
Lane change is an important traffic information. An abnormally high number of lane changes on a particular road section typically suggests that some lanes are blocked due to traffic incidents such as accidents and vehicle break downs. As a result, the lane change information is useful for automatic traffic incident detection. Currently, the lane change information of vehicles on an urban road is typically obtained from over-roadway fixed sensors such as surveillance cameras. However, using fixed sensors has limitations in terms of cost and coverage. It would be more effective if the lane change information could be collected directly from each individual vehicle. In this paper, we introduce a new mobile sensing approach to automatic real-time lane change detection. The lane change event is detected through the corresponding pattern of steering wheel rotation. The results show that the detection algorithm performs extremely well. Overall, it is able to achieve higher than 95% both in terms of precision and recall.
{"title":"Real-Time Lane Change Detection Through Steering Wheel Rotation","authors":"Puttipong Leakkaw, S. Panichpapiboon","doi":"10.1109/VNC.2018.8628461","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628461","url":null,"abstract":"Lane change is an important traffic information. An abnormally high number of lane changes on a particular road section typically suggests that some lanes are blocked due to traffic incidents such as accidents and vehicle break downs. As a result, the lane change information is useful for automatic traffic incident detection. Currently, the lane change information of vehicles on an urban road is typically obtained from over-roadway fixed sensors such as surveillance cameras. However, using fixed sensors has limitations in terms of cost and coverage. It would be more effective if the lane change information could be collected directly from each individual vehicle. In this paper, we introduce a new mobile sensing approach to automatic real-time lane change detection. The lane change event is detected through the corresponding pattern of steering wheel rotation. The results show that the detection algorithm performs extremely well. Overall, it is able to achieve higher than 95% both in terms of precision and recall.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126842506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628359
Marc Roeschlin, Christian Vaas, Kasper Bonne Rasmussen, I. Martinovic
The technology of self-driving cars and driver-assistance systems has reached a point where vehicles start to make decisions on behalf of drivers and operate autonomously. The introduction of Vehicular Ad-hoc Networks (VANETs) will increase this autonomy to greatly improve efficiency and safety on the road. However, when relying on vehicle-to-vehicle communication to make life-critical decisions, such as emergency braking, information authenticity and integrity is of paramount importance. Current schemes that satisfy these properties tie the identity of a vehicle’s owner to its messages and discourage malicious behavior under the penalty of prosecution. But if driver and owner are not the same, it is difficult to identify the person causing an accident or committing a traffic offense. This is particularly relevant for increasingly popular car sharing schemes and Transportation as a Service (TaaS) where vehicles are owned by mobility providers. In this paper, we propose a novel message authentication scheme based on biometric information that provides traceability of each message to the driver. This enables accountability and exclusion from the network on a per-individual basis, while at the same time preserving driver privacy. To evaluate functional protocol properties, such as computation overhead, we simulate traffic in a realistic road network. We implement our scheme and demonstrate its feasibility using a driver’s body impedance, an unobtrusive biometric modality that can be acquired while holding the steering wheel. Our evaluation is supported by data gathered in a user study with 33 subjects conducted under simulated driving conditions.
{"title":"Bionyms: Driver-centric Message Authentication using Biometric Measurements","authors":"Marc Roeschlin, Christian Vaas, Kasper Bonne Rasmussen, I. Martinovic","doi":"10.1109/VNC.2018.8628359","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628359","url":null,"abstract":"The technology of self-driving cars and driver-assistance systems has reached a point where vehicles start to make decisions on behalf of drivers and operate autonomously. The introduction of Vehicular Ad-hoc Networks (VANETs) will increase this autonomy to greatly improve efficiency and safety on the road. However, when relying on vehicle-to-vehicle communication to make life-critical decisions, such as emergency braking, information authenticity and integrity is of paramount importance. Current schemes that satisfy these properties tie the identity of a vehicle’s owner to its messages and discourage malicious behavior under the penalty of prosecution. But if driver and owner are not the same, it is difficult to identify the person causing an accident or committing a traffic offense. This is particularly relevant for increasingly popular car sharing schemes and Transportation as a Service (TaaS) where vehicles are owned by mobility providers. In this paper, we propose a novel message authentication scheme based on biometric information that provides traceability of each message to the driver. This enables accountability and exclusion from the network on a per-individual basis, while at the same time preserving driver privacy. To evaluate functional protocol properties, such as computation overhead, we simulate traffic in a realistic road network. We implement our scheme and demonstrate its feasibility using a driver’s body impedance, an unobtrusive biometric modality that can be acquired while holding the steering wheel. Our evaluation is supported by data gathered in a user study with 33 subjects conducted under simulated driving conditions.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628407
Joseph Kamel, I. B. Jemaa, Arnaud Kaiser, P. Urien
Misbehavior detection is a set of mechanisms that rely on monitoring C-ITS communications to detect potentially misbehaving entities. In this paper we focus on the reporting process of Misbehavior Detection. More precisely, we propose a misbehavior report message format that enables an entity to report a detected misbehaving entity. We explain first the functional requirements of a misbehavior reporting mechanism. Then, we detail the data information that are integrated in the reports in order to provide reliable evidences to the misbehavior authority.
{"title":"Misbehavior Reporting Protocol for C-ITS","authors":"Joseph Kamel, I. B. Jemaa, Arnaud Kaiser, P. Urien","doi":"10.1109/VNC.2018.8628407","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628407","url":null,"abstract":"Misbehavior detection is a set of mechanisms that rely on monitoring C-ITS communications to detect potentially misbehaving entities. In this paper we focus on the reporting process of Misbehavior Detection. More precisely, we propose a misbehavior report message format that enables an entity to report a detected misbehaving entity. We explain first the functional requirements of a misbehavior reporting mechanism. Then, we detail the data information that are integrated in the reports in order to provide reliable evidences to the misbehavior authority.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115234465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628383
Kushan Sudheera Kalupahana Liyanage, M. Ma, P. Chong
This paper presents the primordial study on cooperative scheduling of diverse vehicular communication channels for a better dissemination of data in multi-hop routing scenarios. The system adopts a software defined vehicular network (SDVN) architecture to realize a logically centralized authority and utilizes vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) channels of dedicated short range communication (DSRC), and infrastructure-to-infrastructure (I2I) interface cooperatively to maximize the delivery of data packets under delay tolerance and link connectivity regions. The problem is formulated as an integer linear programming (ILP) problem and it further thrives on the minimization of service delay based on the traffic type. The model avoids possible packet collisions, simultaneous transmissions, routing loops by means of constraints while scrutinizing the wireless nature of links. The effectiveness of the proposed routing and scheduling scheme is comparatively evaluated for multiple network instances.
{"title":"Cooperative Data Routing & Scheduling In Software Defined Vehicular Networks","authors":"Kushan Sudheera Kalupahana Liyanage, M. Ma, P. Chong","doi":"10.1109/VNC.2018.8628383","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628383","url":null,"abstract":"This paper presents the primordial study on cooperative scheduling of diverse vehicular communication channels for a better dissemination of data in multi-hop routing scenarios. The system adopts a software defined vehicular network (SDVN) architecture to realize a logically centralized authority and utilizes vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to-vehicle (I2V) channels of dedicated short range communication (DSRC), and infrastructure-to-infrastructure (I2I) interface cooperatively to maximize the delivery of data packets under delay tolerance and link connectivity regions. The problem is formulated as an integer linear programming (ILP) problem and it further thrives on the minimization of service delay based on the traffic type. The model avoids possible packet collisions, simultaneous transmissions, routing loops by means of constraints while scrutinizing the wireless nature of links. The effectiveness of the proposed routing and scheduling scheme is comparatively evaluated for multiple network instances.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"11 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124270634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628369
M. Simplício, Eduardo Lopes Cominetti, H. Patil, J. E. Ricardini, M. V. M. Silva
With the increasing demand for intelligent transportation systems (ITS), security and privacy requirements are paramount. This led to many proposals aimed at creating a Vehicular Public Key Infrastructure (VPKI) able to address such prerequisites. Among them, the Security Credential Management System (SCMS) is particularly promising, providing data authentication in a privacy-preserving manner and also supporting revocation of misbehaving vehicles. Despite SCMS’s appealing design, in this paper we show that its certificate issuing process can be further improved. Namely, one of the main benefits of SCMS is its so-called butterfly key expansion process, which issues arbitrarily large batches of pseudonym certificates by means of a single request. Although this protocol requires the vehicle to provide two separate public/private key pairs to registration authorities, we hereby propose an improved approach that unifies them into a single key. As a result, the processing and bandwidth utilization for certificate provisioning are reduced from 10% to 50% for all entities involved in the protocol. We also show that such performance gains come with no negative impact in terms of security, flexibility or scalability when compared to the original SCMS.
{"title":"The Unified Butterfly Effect: Efficient Security Credential Management System for Vehicular Communications","authors":"M. Simplício, Eduardo Lopes Cominetti, H. Patil, J. E. Ricardini, M. V. M. Silva","doi":"10.1109/VNC.2018.8628369","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628369","url":null,"abstract":"With the increasing demand for intelligent transportation systems (ITS), security and privacy requirements are paramount. This led to many proposals aimed at creating a Vehicular Public Key Infrastructure (VPKI) able to address such prerequisites. Among them, the Security Credential Management System (SCMS) is particularly promising, providing data authentication in a privacy-preserving manner and also supporting revocation of misbehaving vehicles. Despite SCMS’s appealing design, in this paper we show that its certificate issuing process can be further improved. Namely, one of the main benefits of SCMS is its so-called butterfly key expansion process, which issues arbitrarily large batches of pseudonym certificates by means of a single request. Although this protocol requires the vehicle to provide two separate public/private key pairs to registration authorities, we hereby propose an improved approach that unifies them into a single key. As a result, the processing and bandwidth utilization for certificate provisioning are reduced from 10% to 50% for all entities involved in the protocol. We also show that such performance gains come with no negative impact in terms of security, flexibility or scalability when compared to the original SCMS.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-12-01DOI: 10.1109/VNC.2018.8628396
Julian Heinovski, F. Dressler
We study the problem of platoon formation, trying to optimize traveling time and fuel consumption based on car-to- platoon assignments. The general concept of platooning, i.e., cars traveling in form of a road train with minimized safety gaps, has been studied in depth and we see first field trials on the road. Currently, most research focuses on improved reliability of the necessary communication protocols to achieve perfect string stability with guaranteed safety measures. One aspect, however, remained quite unexplored: the problem of assigning cars to platoons. Based on the capabilities of individual cars (e.g., max. acceleration or speed) and preferences of the driver (e.g., min/max. traveling speed, preference on travel time vs. fuel consumption), the assignment decision will be different. We formulate an optimization problem and develop a set of protocols (centralized and distributed) to support platoon formation. In an extensive series of simulation experiments, we show that our protocols not just help forming platoons, but also take care of the individual requirements of cars and drivers.
{"title":"Platoon Formation: Optimized Car to Platoon Assignment Strategies and Protocols","authors":"Julian Heinovski, F. Dressler","doi":"10.1109/VNC.2018.8628396","DOIUrl":"https://doi.org/10.1109/VNC.2018.8628396","url":null,"abstract":"We study the problem of platoon formation, trying to optimize traveling time and fuel consumption based on car-to- platoon assignments. The general concept of platooning, i.e., cars traveling in form of a road train with minimized safety gaps, has been studied in depth and we see first field trials on the road. Currently, most research focuses on improved reliability of the necessary communication protocols to achieve perfect string stability with guaranteed safety measures. One aspect, however, remained quite unexplored: the problem of assigning cars to platoons. Based on the capabilities of individual cars (e.g., max. acceleration or speed) and preferences of the driver (e.g., min/max. traveling speed, preference on travel time vs. fuel consumption), the assignment decision will be different. We formulate an optimization problem and develop a set of protocols (centralized and distributed) to support platoon formation. In an extensive series of simulation experiments, we show that our protocols not just help forming platoons, but also take care of the individual requirements of cars and drivers.","PeriodicalId":335017,"journal":{"name":"2018 IEEE Vehicular Networking Conference (VNC)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122131462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：