RSA algorithm based encryption on secure intelligent traffic system for VANET using Wi-Fi IEEE 802.11p

Nema, Megha; Stalin, Shalini; Tiwari, Rovin

doi:10.1109/ic4.2015.7375676

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…Different encryption algorithms and methods like PKI, symmetric encryption, hybrid encryption, and group key (temporary key for the session derived from the master key) have been used to stop each attack that we have discussed earlier. Schemes in this connection include the previous works 18,21,24,25,35,41,44,48,53,54,56,58,60,66–78.…”

Section: Survey Resultsmentioning

confidence: 99%

Systematic literature review on Internet-of-Vehicles communication security

Talib

Abbas

Nasir

et al. 2018

International Journal of Distributed Sensor Networks

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Currently, the popularity of Internet-of-Vehicles technology and self-driving cars are increasing rapidly. Several companies are investing in this field and are competing to release the latest and safest autonomous cars. However, this rapid Internet-of-Vehicles development also creates many security problems, which are considered a significant threat both to industry and to consumers. As a result, there is an urgent need to study the possible security threats and different solutions that can ensure the safety of drivers and also the security of industry. This research article focuses on examining the systematic literature on Internet-of-Vehicles and security. It also provides comprehensive and unbiased information regarding various state-of-the-art security problems, solutions, and proposals in vehicular ad hoc networks and Internet-of-Vehicles. Systematic literature review is used for more than 127 different research articles published between the years 2010 and 2018. The results of the systematic literature review used are categorized into the following three main categories: (1) the different types of attacks on Internet-of-Vehicles, (2) the different solutions that can be implemented to solve the threats, and (3) the performance outcomes.

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Section: Survey Resultsmentioning

confidence: 99%

Systematic literature review on Internet-of-Vehicles communication security

Talib

Abbas

Nasir

et al. 2018

International Journal of Distributed Sensor Networks

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“…Figure 6 shows the entire process flow that is being followed for efficient traffic police distribution. Traffic data is available from several sources like surveillance roadside cameras, 23,26 fixed roadside sensors, 27,28 mobile phones. 24,25,27,29 So, whenever traffic density increases at some junction, it can be captured using one of the above technologies or simply using RSUs and mobile sensors.…”

Section: Discussionmentioning

confidence: 99%

“…Traffic data is available from several sources like surveillance roadside cameras, 23,26 fixed roadside sensors, 27,28 mobile phones. 24,25,27,29 So, whenever traffic density increases at some junction, it can be captured using one of the above technologies or simply using RSUs and mobile sensors. The relevant data is collected from these sources and stored optimistically using several machine learning techniques like Kalman filter, 26 KNN-ANN, 28 CNN, 23 5G, SDN, and MEC.…”

Section: Discussionmentioning

confidence: 99%

Machine learning‐based traffic scheduling techniques for intelligent transportation system: Opportunities and challenges

Nama

Nath

Bechra

et al. 2021

Int J Communication

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Summary The rise in traffic congestion has become a significant concern in the urban city environment. The conventional traffic control systems with inefficient human resources management fail to control the traffic discipline, leading to increased traffic density and road offenses. However, the intelligent transportation system (ITS) can provide safety, efficiency, and sustainability for large‐scale vehicular traffic dilemmas. ITS unites machine learning with the available traffic control force and performs real‐time police scheduling to ensure the smooth flow of traffic. Many researchers have demonstrated notable work in intelligent traffic police scheduling and deployment using various optimization algorithms. However, the compilation of such praiseworthy work as a whole is still missing. Motivated by these facts, we provide a comprehensive review of the machine learning‐based state‐of‐the‐art technologies that can be used to form a three‐tier solution taxonomy. The first tier describes various tools and technologies that can be utilized to collect traffic data. The second tier highlights the machine learning algorithms and their accuracy, which forms a pattern in the collected data and then yields some crucial information about traffic flow, congestion levels, and so forth. In the third tier, the most vital taxonomy layer, various traffic police scheduling strategies are discussed. The proposed survey also presents the use of cases of traffic police scheduling that elaborates this review's applicability in various domains. Finally, some of the key challenges in the subject being reviewed are discussed, which initiates a further scope of improvement.

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“…The weakness is that this scheme limits the scope of message sharing only to one RSU. Nema et al [ 14 ] proposed an RSA-algorithm-based encryption and decryption approach to provide message confidentiality in VANETs. However, all of the above schemes do not consider the fine-grained access control of the transmitted message.…”

Section: Related Workmentioning

confidence: 99%

SmartVeh: Secure and Efficient Message Access Control and Authentication for Vehicular Cloud Computing

Huang

Yang

Shi

2018

Sensors

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With the growing number of vehicles and popularity of various services in vehicular cloud computing (VCC), message exchanging among vehicles under traffic conditions and in emergency situations is one of the most pressing demands, and has attracted significant attention. However, it is an important challenge to authenticate the legitimate sources of broadcast messages and achieve fine-grained message access control. In this work, we propose SmartVeh, a secure and efficient message access control and authentication scheme in VCC. A hierarchical, attribute-based encryption technique is utilized to achieve fine-grained and flexible message sharing, which ensures that vehicles whose persistent or dynamic attributes satisfy the access policies can access the broadcast message with equipped on-board units (OBUs). Message authentication is enforced by integrating an attribute-based signature, which achieves message authentication and maintains the anonymity of the vehicles. In order to reduce the computations of the OBUs in the vehicles, we outsource the heavy computations of encryption, decryption and signing to a cloud server and road-side units. The theoretical analysis and simulation results reveal that our secure and efficient scheme is suitable for VCC.

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RSA algorithm based encryption on secure intelligent traffic system for VANET using Wi-Fi IEEE 802.11p

Cited by 13 publications

References 2 publications

Systematic literature review on Internet-of-Vehicles communication security

Systematic literature review on Internet-of-Vehicles communication security

Machine learning‐based traffic scheduling techniques for intelligent transportation system: Opportunities and challenges

SmartVeh: Secure and Efficient Message Access Control and Authentication for Vehicular Cloud Computing

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