Security Threats in Autonomous Vehicles

2017 ◽  
pp. 117-141
Author(s):  
R. Thandeeswaran ◽  
Rajat Pawar ◽  
Mallika Rai
Keyword(s):  
Visual Feedback ◽  
Automotive Industry ◽  
Autonomous Vehicles ◽  
Network Architecture ◽  
Light Detection And Ranging ◽  
Security Threats ◽  
Feedback Systems ◽  
Human Control ◽  
Autonomous Cars ◽  
Levels Of Automation

The automotive industry has reached a stage categorisation of the degree of the automation has become crucial. According to the levels of automation defined by SAE, the automotive industry is already past the first four and development is now being heavily concentrated on level 5, that is, driving independent of human control. This obviously requires an array of sensors, microcontrollers and visual feedback systems like cameras, LiDAR (Light Detection and Ranging) to be present in the vehicle. With security concerns omnipresent among these devices, they are now ported to the realm of vehicles and must be tackled so that unsafe driving conditions are never experienced. In this paper, Section 3 elaborates upon the technologies that have shaped autonomous cars into the form known today and Section 4 explains the network architecture and network security amongst these cars. Section 5 describes the rippling effect of this evolution in the automotive industry on other supportive industries, Section 6 talks about the challenges posed to the development of AVs and finally, Section 7 discusses the future of autonomous vehicles in India.

Autonomous vehicles and freight traffic: towards better efficiency of road, rail or urban logistics?

2018 ◽  
Vol 58 (1) ◽  
pp. 41-52 ◽  
Author(s):  
Péter Bucsky
Keyword(s):  
Autonomous Vehicles ◽  
Road Transport ◽  
Transport Sector ◽  
Future Directions ◽  
Car Industry ◽  
Level Of Automation ◽  
Current State ◽  
Freight Traffic ◽  
Levels Of Automation ◽  
Private Car

Abstract The freight transport sector is a low profit and high competition business and therefore has less ability to invest in research and development in the field of autonomous vehicles (AV) than the private car industry. There are already different levels of automation technologies in the transport industry, but most of these are serving niche demands and answers have yet to be found about whether it would be worthwhile to industrialise these technologies. New innovations from different fields are constantly changing the freight traffic industry but these are less disruptive than on other markets. The aim of this article is to show the current state of development of freight traffic with regards to AVs and analyse which future directions of development might be viable. The level of automation is very different in the case of different transport modes and most probably the technology will favour road transport over other, less environmentally harmful traffic modes.

scholarly journals Cybersafety Approach to Cybersecurity Analysis and Mitigation for Mobility-as-a-Service and Internet of Vehicles

Electronics ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1220
Author(s):  
Chee Wei Lee ◽  
Stuart Madnick
Keyword(s):  
Autonomous Vehicles ◽  
Process Analysis ◽  
Hazard Analysis ◽  
Urban Mobility ◽  
Internet Of Vehicles ◽  
On Demand ◽  
Software Updates ◽  
Levels Of Automation ◽  
New Generation ◽  
Convergence Of Technologies

Urban mobility is in the midst of a revolution, driven by the convergence of technologies such as artificial intelligence, on-demand ride services, and Internet-connected and self-driving vehicles. Technological advancements often lead to new hazards. Coupled with the increased levels of automation and connectivity in the new generation of autonomous vehicles, cybersecurity is emerging as a key threat affecting these vehicles. Traditional hazard analysis methods treat safety and security in isolation and are limited in their ability to account for interactions among organizational, sociotechnical, human, and technical components. In response to these challenges, the cybersafety method, based on System Theoretic Process Analysis (STPA and STPA-Sec), was developed to meet the growing need to holistically analyze complex sociotechnical systems. We applied cybersafety to coanalyze safety and security hazards, as well as identify mitigation requirements. The results were compared with another promising method known as Combined Harm Analysis of Safety and Security for Information Systems (CHASSIS). Both methods were applied to the Mobility-as-a-Service (MaaS) and Internet of Vehicles (IoV) use cases, focusing on over-the-air software updates feature. Overall, cybersafety identified additional hazards and more effective requirements compared to CHASSIS. In particular, cybersafety demonstrated the ability to identify hazards due to unsafe/unsecure interactions among sociotechnical components. This research also suggested using CHASSIS methods for information lifecycle analysis to complement and generate additional considerations for cybersafety. Finally, results from both methods were backtested against a past cyber hack on a vehicular system, and we found that recommendations from cybersafety were likely to mitigate the risks of the incident.

Autonomous vehicles: a review of the ethical, social and economic implications of the AI revolution

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shweta Banerjee
Keyword(s):  
Artificial Intelligence ◽  
Autonomous Vehicles ◽  
Design Methodology ◽  
Technological Advancement ◽  
Economic Implications ◽  
Content Type ◽  
The Public ◽  
Autonomous Cars ◽  
The Subject ◽  
Practical Implications

PurposeThere are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.Design/methodology/approachMaking use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.FindingsTechnology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.Research limitations/implicationsFrom robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.Practical implicationsFuture shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.Social implicationsThe study will be of interest to researchers, academics and the public in general. It will encourage further thinking.Originality/valueThis is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

Adaptive H ∞ -control for robust visual feedback systems

1999 ◽  
Vol 32 (2) ◽  
pp. 2298-2303
Author(s):  
Akira Maruyama ◽  
Masayuki Fujita
Keyword(s):  
Visual Feedback ◽  
Feedback Systems

Allocation of Function, Adaptive Automation, and Fault Management

1998 ◽  
Vol 42 (3) ◽  
pp. 277-279
Author(s):  
Neville Moray ◽  
Toshiuki Inagaki ◽  
Makoto Itoh
Keyword(s):  
Process Control ◽  
Continuous Process ◽  
Fault Management ◽  
Control Task ◽  
Adaptive Automation ◽  
Human Control ◽  
Self Confidence ◽  
Levels Of Automation ◽  
Allocation Of Function ◽  
Different Levels

Sheridan's “Levels of Automation” were explored in an experiment on fault management of a continuous process control task which included situation adaptive automation. Levels of automation with more or less automation autonomy, and different levels of advice to the operator were compared, with automatic diagnosis whose reliability varied. The efficiency of process control and of fault management were explored under human control and automation in fault management, and aspects of the task in which human or automation were the more efficient defined. The results are related to earlier work on trust and self confidence in allocation of function by Lee, Moray, and Muir.

scholarly journals Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5778
Author(s):  
Agnieszka Dudziak ◽  
Monika Stoma ◽  
Andrzej Kuranc ◽  
Jacek Caban
Keyword(s):  
Autonomous Vehicles ◽  
Social Acceptance ◽  
New Technologies ◽  
Consumer Preferences ◽  
Autonomous Vehicle ◽  
Developed Countries ◽  
Automotive Market ◽  
Advantages And Disadvantages ◽  
Autonomous Cars ◽  
The Impact

New technologies reaching out for meeting the needs of an aging population in developed countries have given rise to the development and gradual implementation of the concept of an autonomous vehicle (AV) and have even made it a necessity and an important business paradigm. However, in parallel, there is a discussion about consumer preferences and the willingness to pay for new car technologies and intelligent vehicle options. The main aim of the study was to analyze the impact of selected factors on the perception of the future of autonomous cars by respondents from the area of Southeastern Poland in terms of a comparison with traditional cars, with particular emphasis on the advantages and disadvantages of this concept. The research presented in this study was conducted in 2019 among a group of 579 respondents. Data analysis made it possible to identify potential advantages and disadvantages of the concept of introducing autonomous cars. A positive result of the survey is that 68% of respondents stated that AV will be gradually introduced to our market, which confirms the high acceptance of this technology by Poles. The obtained research results may be valuable information for governmental and local authorities, but also for car manufacturers and their future users. It is an important issue in the area of shaping the strategy of actions concerning further directions of development on the automotive market.

Modeling head tracking of visual targets

2002 ◽  
Vol 12 (1) ◽  
pp. 25-33
Author(s):  
K.J. Chen ◽  
E.A. Keshner ◽  
B.W. Peterson ◽  
T.C. Hain
Keyword(s):  
Control System ◽  
Visual Feedback ◽  
Human Head ◽  
Feedback System ◽  
Optimization Methods ◽  
Head Tracking ◽  
Feedback Systems ◽  
Control Gain ◽  
Head Control ◽  
Visual Targets

Control of the head involves somatosensory, vestibular, and visual feedback. The dynamics of these three feedback systems must be identified in order to gain a greater understanding of the head control system. We have completed one step in the development of a head control model by identifying the dynamics of the visual feedback system. A mathematical model of human head tracking of visual targets in the horizontal plane was fit to experimental data from seven subjects performing a visual head tracking task. The model incorporates components based on the underlying physiology of the head control system. Using optimization methods, we were able to identify neural processing delay, visual control gain, and neck viscosity parameters in each experimental subject.

Challenges and Opportunities Related to Use of Models in Drilling Operations

2021 ◽  
Author(s):  
Maria Vatshaug Ottermo ◽  
Knut Steinar Bjørkevoll ◽  
Tor Onshus
Keyword(s):  
Holistic Approach ◽  
Remote Access ◽  
Security Issues ◽  
Human Control ◽  
Challenges And Opportunities ◽  
Mathematical Algorithms ◽  
Drilling Operations ◽  
Levels Of Automation ◽  
Ict Security ◽  
Future Work

Abstract Automation of managed pressure drilling (MPD) has a big potential for improving consistency, efficiency, and safety of operations, and is therefore pursued by many actors. While this development mitigates many risk elements, it also adds some related to for example mathematical algorithms and remote access. This work is based on document reviews, interviews, and working sessions with the industry, and adds insight on how risks associated with moving to higher levels of automation of MPD can be mitigated to a level where benefits are significantly larger than the sum of added risks. The work has resulted in many recommendations for the industry, where most were related to testing, verification, and validation of the models and data inputs, as well as meaningful human control and employing a holistic approach when introducing new models. Recommendations were also given to the Petroleum Safety Authority Norway. These were related to missing or inadequate use of standards by the industry, lack of ICT knowledge, and encouraging increased experience sharing. Future work should address how to enable meaningful human control as models become more complex or to a larger extent is based on empirical data and artificial intelligence as opposed to models based on first principles. Human control is important in unexpected situations in which the system fails to act safely. There is also a need to address ICT security issues arising when remote operation becomes more common.

Sign in / Sign up

Export Citation Format

Share Document