The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform
Myung J Lee - One of the best experts on this subject based on the ideXlab platform.
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beacon less autonomous transmission control method for spatio temporal data retention
Intelligent Networking and Collaborative Systems, 2020Co-Authors: Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung J LeeAbstract:With the development and spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, and various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depends on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed a STD retention system using Vehicles equipped with storage modules, computing resources, and short-range wireless communication equipment. In this previous system, each Vehicle controls the data transmission probability based on the Neighboring Vehicle density in order to achieve effective data retention. However, since the overhead of beacon messages required for estimation of the Neighboring Vehicle density becomes a critical problem with the increase in the number of Vehicles, thereby preventing the effective data retention. In this paper, we propose a new data transmission control method to realize effective and reliable STD retention without beacon. Simulation results showed that our proposed scheme can achieve effective data retention.
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INCoS - Beacon-Less Autonomous Transmission Control Method for Spatio-Temporal Data Retention.
Advances in Intelligent Networking and Collaborative Systems, 2020Co-Authors: Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung J LeeAbstract:With the development and spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, and various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depends on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed a STD retention system using Vehicles equipped with storage modules, computing resources, and short-range wireless communication equipment. In this previous system, each Vehicle controls the data transmission probability based on the Neighboring Vehicle density in order to achieve effective data retention. However, since the overhead of beacon messages required for estimation of the Neighboring Vehicle density becomes a critical problem with the increase in the number of Vehicles, thereby preventing the effective data retention. In this paper, we propose a new data transmission control method to realize effective and reliable STD retention without beacon. Simulation results showed that our proposed scheme can achieve effective data retention.
Bo Sun - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM - A Blockchain-Based Hierarchical Reputation Management Scheme in Vehicular Network
2019 IEEE Global Communications Conference (GLOBECOM), 2019Co-Authors: Wenbin Dong, Ronghui Hou, Bo SunAbstract:The vehicular reputation management scheme based on blockchain has been studied with the rapidly development of blockchain technology. Existing works mainly focus on provisioning the security of the reputation management scheme by using the blockchain technology. However, the broadcast latency of blocks and the throughput capacity of the blockchain also have significant impacts on the performance of the reputation management scheme. This paper proposes a hierarchical blockchain based reputation management scheme in vehicular networks. Our hierarchical blockchain architecture assures that each Vehicle can obtain the latest reputation value of any Neighboring Vehicle in a short time. Moreover, our designed blockchain structure aims at reducing the confirmation time of reputation values and increasing the capacity of blockchain. We finally conduct simulation experiments to compare our proposed scheme with the existing schemes.
Ichiro Goto - One of the best experts on this subject based on the ideXlab platform.
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beacon less autonomous transmission control method for spatio temporal data retention
Intelligent Networking and Collaborative Systems, 2020Co-Authors: Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung J LeeAbstract:With the development and spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, and various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depends on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed a STD retention system using Vehicles equipped with storage modules, computing resources, and short-range wireless communication equipment. In this previous system, each Vehicle controls the data transmission probability based on the Neighboring Vehicle density in order to achieve effective data retention. However, since the overhead of beacon messages required for estimation of the Neighboring Vehicle density becomes a critical problem with the increase in the number of Vehicles, thereby preventing the effective data retention. In this paper, we propose a new data transmission control method to realize effective and reliable STD retention without beacon. Simulation results showed that our proposed scheme can achieve effective data retention.
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INCoS - Beacon-Less Autonomous Transmission Control Method for Spatio-Temporal Data Retention.
Advances in Intelligent Networking and Collaborative Systems, 2020Co-Authors: Ichiro Goto, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga, Myung J LeeAbstract:With the development and spread of Internet of Things (IoT) technology, the number of devices connected to the Internet is increasing, and various kinds of data are now being generated from IoT devices. Some data generated from IoT devices depends on geographical location and time. We refer to such data as spatio-temporal data (STD). Since the “local production and consumption” of STD is effective for location-dependent applications, we have proposed a STD retention system using Vehicles equipped with storage modules, computing resources, and short-range wireless communication equipment. In this previous system, each Vehicle controls the data transmission probability based on the Neighboring Vehicle density in order to achieve effective data retention. However, since the overhead of beacon messages required for estimation of the Neighboring Vehicle density becomes a critical problem with the increase in the number of Vehicles, thereby preventing the effective data retention. In this paper, we propose a new data transmission control method to realize effective and reliable STD retention without beacon. Simulation results showed that our proposed scheme can achieve effective data retention.
Jin Hongyu - One of the best experts on this subject based on the ideXlab platform.
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DoS-resilient Cooperative Beacon Verification for Vehicular Communication Systems
'Elsevier BV', 2020Co-Authors: Jin Hongyu, Papadimitratos PanosAbstract:Authenticated safety beacons in Vehicular Communication (VC) systems ensure awareness among Neighboring Vehicles. However, the verification of beacon signatures introduces significant processing overhead for resource-constrained vehicular On-Board Units (OBUs). Even worse in dense neighborhood or when a clogging Denial of Service (DoS) attack is mounted. The OBU would fail to verify for all received (authentic or fictitious) beacons. This could significantly delay the verifications of authentic beacons or even affect the awareness of Neighboring Vehicle status. In this paper, we propose an efficient cooperative beacon verification scheme leveraging efficient symmetric key based authentication on top of pseudonymous authentication (based on traditional public key cryptography), providing efficient discovery of authentic beacons among a pool of received authentic and fictitious beacons, and can significantly decrease waiting times of beacons in queue before their validations. We show with simulation results that our scheme can guarantee low waiting times for received beacons even in high neighbor density situations and under DoS attacks, under which a traditional scheme would not be workable
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DoS-resilient cooperative beacon verification for vehicular communication systems
'Elsevier BV', 2019Co-Authors: Jin Hongyu, Papadimitratos PanagiotisAbstract:Authenticated safety beacons in Vehicular Communication (VC) systems ensure awareness among Neighboring Vehicles. However, the verification of beacon signatures introduces significant processing overhead for resource-constrained vehicular On-Board Units (OBUs). Even worse in dense neighborhood or when a clogging Denial of Service (DoS) attack is mounted. The OBU would fail to verify for all received (authentic or fictitious) beacons. This could significantly delay the verifications of authentic beacons or even affect the awareness of Neighboring Vehicle status. In this paper, we propose an efficient cooperative beacon verification scheme leveraging efficient symmetric key based authentication on top of pseudonymous authentication (based on traditional public key cryptography), providing efficient discovery of authentic beacons among a pool of received authentic and fictitious beacons, and can significantly decrease waiting times of beacons in queue before their validations. We show with simulation results that our scheme can guarantee low waiting times for received beacons even in high neighbor density situations and under DoS attacks, under which a traditional scheme would not be workable. rights reserved.QC 20190904
Yingying Zhu - One of the best experts on this subject based on the ideXlab platform.
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A Filter Model Based on Hidden Generalized Mixture Transition Distribution Model for Intrusion Detection System in Vehicle Ad Hoc Networks
IEEE Transactions on Intelligent Transportation Systems, 2019Co-Authors: Junwei Liang, Qiuzhen Lin, Jianyong Chen, Yingying ZhuAbstract:Vehicle ad hoc networks (VANETs) are considered to be the next big thing that will remarkably change our lives, since this kind of technology is able to make our lives and roads safer. Due to the very fast move and high dynamic in VANETs, it is important to quickly ascertain the reliability of information. Although intrusion detection system (IDS) has been proposed as a reliable approach to protect VANETs against attacks, its overhead is serious, which spends too much time on detection, especially when the number of Vehicles increases. Thus, in this paper, we propose a novel filter model based on a hidden generalized mixture transition distribution model (HgMTD) in VANETs, called FM-HgMTD, which can quickly filter the messages from Neighboring Vehicles so as to reduce the overhead and detection time. It adopts a well-known multi-objective optimization (NSGA-II) algorithm combined with an expectation-maximization (EM) algorithm to forecast the future states of Neighboring Vehicles and then to filter out malicious messages, by monitoring the change of the state pattern of each Neighboring Vehicle. In addition, a timeliness method is used to maintain the accuracy of the forecast. The experiments show that IDS with the proposed FM-HgMTD has better performance than other available IDSs in terms of detection rate, detection time, and overhead.
