Privacy and Security of Connected Vehicles in Intelligent Transportation System

Jolfaei, Alireza; Kant, Krishna

doi:10.1109/dsn-s.2019.00010

Cited by 43 publications

(13 citation statements)

References 3 publications

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“…In the past, the only option to collect data was to rely solely on central authorities, putting individuals at risk, as the proper control of personal data did not belong to them [13]. However, the traditional security and data-protection methods used in smart cars were ineffective [13,[24][25][26][27]. New methods were subsequently proposed; for example, current smart car architectures rely on centralized brokered communication models, in which all vehicles are identified, authenticated, authorized, and connected via central cloud servers.…”

Section: Privacymentioning

confidence: 99%

Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

Mohammad

Vargas

Čermák

2022

JCP

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Today’s cars can share data with other cars, automakers, and service providers. Shared data can help improve the driving experience, the performance of the car, and the traffic situations. Among all data-collection techniques, blockchain technology offers an immutable and secure solution to support data collection in the automotive industry. Despite its advantages, collecting auto data with blockchain still faces several challenges. Thus, the purpose of this study was to conduct a review of published articles that have addressed the challenges of adopting blockchain for data collection in the automotive industry. This paper allowed us to answer the predefined research question: “What are the challenges of using blockchain for data collection in the automotive industry as presented in the published literature?” The review included articles published from 2017 to January 2022, and from the screened records, 13 articles were analyzed in full-text form. The founded challenges were categorized into seven categories: connectivity, privacy, security attacks, scalability, performance, costs, and monetizing. This review will help researchers, car manufacturers, and third-party suppliers to assess the applicability of the blockchain for data collection.

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Section: Privacymentioning

confidence: 99%

Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

Mohammad

Vargas

Čermák

2022

JCP

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“…Hence, the applications may be compromised, shut down, and fail to deliver what is programmed to do and also carry out authenticated services in inappropriate way. Application layer is responsible for data sharing, which can cause the problem of access control, privacy of data, and leakage of information 23,48 . Software vulnerabilities, spear‐phishing attack, malicious code attacks, inability to receive security patches, hacking into the smart meter/grid are some of the common threats in the application layer 38 …”

Section: Security Issues In Layered Iot Architecturementioning

confidence: 99%

A survey of security and privacy issues in the Internet of Things from the layered context

Deep

Zheng

Jolfaei

et al. 2020

Trans Emerging Tel Tech

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Internet of Things (IoT) is a novel paradigm, which not only facilitates a large number of devices to be ubiquitously connected over the Internet but also provides a mechanism to remotely control these devices. The IoT is pervasive and is almost an integral part of our daily life. These connected devices often obtain user's personal data and store it online. The security of collected data is a big concern in recent time. As devices are becoming increasingly connected, privacy and security issues become more and more critical and these need to be addressed on an urgent basis.IoT implementations and devices are eminently prone to threats that could compromise the security and privacy of the consumers, which, in turn, could influence its practical deployment. In recent past, some research has been carried out to secure IoT devices with an intention to alleviate the security concerns of users. There have been research on blockchain technologies to tackle the privacy and security issues of the collected data in IoT. The purpose of this paper is to highlight the security and privacy issues in IoT systems. To this effect, the paper examines the security issues at each layer in the IoT protocol stack, identifies the under-lying challenges and key security requirements and provides a brief overview of existing security solutions to safeguard the IoT from the layered context.

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“…In [33], data security and privacy issues in intelligent transportation systems have been studied. In this paper, it has been assumed that data streams are coming out of vehicles and go to road side units.…”

Section: Related Workmentioning

confidence: 99%

On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control

Farivar

Haghighi

Jolfaei

et al. 2020

Preprint

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With the benefits of Internet of Vehicles (IoV) paradigm, come along unprecedented security challenges. Among many applications of inter-connected systems, vehicular networks and smart cars are examples that are already rolled out. Smart vehicles not only have networks connecting their internal components e.g. via Controller Area Network (CAN) bus, but also are connected to the outside world through road side units and other vehicles. In some cases, the internal and external network packets pass through the same hardware and are merely isolated by software defined rules. Any misconfiguration opens a window for the hackers to intrude into vehicles' internal components e.g. central lock system, Engine Control Unit (ECU), Anti-lock Braking System (ABS) or Adaptive Cruise Control (ACC) system. Compromise of any of these can lead to disastrous outcomes. In this paper, we study the security of smart vehicles' adaptive cruise control systems in the presence of covert attacks. We define two covert/stealth attacks in the context of cruise control and propose a novel intrusion detection and compensation method to disclose and respond to such attacks. More precisely, we focus on the covert cyber attacks that compromise the integrity of cruise controller and employ a neural network identifier in the IDS engine to estimate the system output dynamically and compare it against the ACC output. If any anomaly is detected, an embedded substitute controller kicks in and takes over the control. We conducted extensive experiments in MATLAB to evaluate the effectiveness of the proposed scheme in a simulated environment.

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Privacy and Security of Connected Vehicles in Intelligent Transportation System

Cited by 43 publications

References 3 publications

Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

Using Blockchain for Data Collection in the Automotive Industry Sector: A Literature Review

A survey of security and privacy issues in the Internet of Things from the layered context

On the Security of Networked Control Systems in Smart Vehicle and its Adaptive Cruise Control

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