scholarly journals Security Architecture for Swarms of Autonomous Vehicles in Smart Farming

2021 ◽  
Vol 11 (10) ◽  
pp. 4341
Author(s):  
Belén Martínez-Rodríguez ◽  
Sonia Bilbao-Arechabala ◽  
Fernando Jorge-Hernandez
Keyword(s):  
Cyber Security ◽  
Autonomous Vehicles ◽  
Target System ◽  
Security Architecture ◽  
Connected Vehicles ◽  
Security Threats ◽  
Security Attacks ◽  
Smart Farming ◽  
Manual Labour ◽  
Complex Hybrid

Nowadays, autonomous vehicles are incorporated into farms to facilitate manual labour. Being connected vehicles, as IoT systems, they are susceptible to cyber security attacks that try to cause damage to hardware, software or even living beings. Therefore, it is important to provide sufficient security mechanisms to protect both the communications and the data, mitigating any possible risk or harm to farmers, livestock or crops. Technology providers are aware of the importance of ensuring security, and more and more secure solutions can be found on the market today. However, generally, these particular solutions are not sufficient when they are part of complex hybrid systems, since there is no single global solution proposal. In addition, as the number of technologies and protocols used increases, the number of security threats also increases. This article presents a cyber-security architecture proposal for swarms of heterogeneous vehicles in smart farming, which covers all of the aspects recommended by the ISO 7798-2 specification in terms of security. As a result of this analysis, a detailed summary of the possible solutions and available technologies for each of the communication channels of the target system as well as some recommendations are presented.

scholarly journals Towards a Severity Assessment Method for Potential Cyber Attacks to Connected and Autonomous Vehicles

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Qiyi He ◽  
Xiaolin Meng ◽  
Rong Qu
Keyword(s):  
Cyber Security ◽  
Intelligent Transportation Systems ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Assessment Method ◽  
Transportation Systems ◽  
Cyber Attacks ◽  
Large Set ◽  
Security Attacks ◽  
Physical Damage

CAV (connected and autonomous vehicle) is a crucial part of intelligent transportation systems. CAVs utilize both sensors and communication components to make driving decisions. A large number of companies, research organizations, and governments have researched extensively on the development of CAVs. The increasing number of autonomous and connected functions however means that CAVs are exposed to more cyber security vulnerabilities. Unlike computer cyber security attacks, cyber attacks to CAVs could lead to not only information leakage but also physical damage. According to the UK CAV Cyber Security Principles, preventing CAVs from cyber security attacks need to be considered at the beginning of CAV development. In this paper, a large set of potential cyber attacks are collected and investigated from the aspects of target assets, risks, and consequences. Severity of each type of attacks is then analysed based on clearly defined new set of criteria. The levels of severity for the attacks can be categorized as critical, important, moderate, and minor. Mitigation methods including prevention, reduction, transference, acceptance, and contingency are then suggested. It is found that remote control, fake vision on cameras, hidden objects to LiDAR and Radar, spoofing attack to GNSS, and fake identity in cloud authority are the most dangerous and of the highest vulnerabilities in CAV cyber security.

Issues in security and privacy of big data

2018 ◽  
Vol 7 (12) ◽  
pp. 1
Author(s):  
Shaveta Bhatia
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Approximate Method ◽  
Biomedical Research ◽  
Cyber Security ◽  
Data Science ◽  
Third Party ◽  
Security And Privacy ◽  
Security Threats ◽  
The Third

 The epoch of the big data presents many opportunities for the development in the range of data science, biomedical research cyber security, and cloud computing. Nowadays the big data gained popularity.  It also invites many provocations and upshot in the security and privacy of the big data. There are various type of threats, attacks such as leakage of data, the third party tries to access, viruses and vulnerability that stand against the security of the big data. This paper will discuss about the security threats and their approximate method in the field of biomedical research, cyber security and cloud computing.

Classification of Cloud Systems Cyber-security Threats and Solutions Directives

2017 ◽  
Vol 2 (3) ◽  
pp. 1
Author(s):  
Hanane Bennasar ◽  
Mohammad Essaaidi ◽  
Ahmed Bendahmane ◽  
Jalel Benothmane
Keyword(s):  
Cloud Computing ◽  
Cyber Security ◽  
Data Security ◽  
Denial Of Service ◽  
Security Threats ◽  
Huge Number ◽  
Open Problems ◽  
Long Period ◽  
Near Future

Cloud computing cyber security is a subject that has been in top flight for a long period and even in near future. However, cloud computing permit to stock up a huge number of data in the cloud stockage, and allow the user to pay per utilization from anywhere via any terminal equipment. Among the major issues related to Cloud Computing security, we can mention data security, denial of service attacks, confidentiality, availability, and data integrity. This paper is dedicated to a taxonomic classification study of cloud computing cyber-security. With the main objective to identify the main challenges and issues in this field, the different approaches and solutions proposed to address them and the open problems that need to be addressed.

Cyber Security – Threats and Vulnerabilities to Road Transport

2016 ◽  
Author(s):  
Chris Reeves ◽  
Geoff Davis ◽  
David D. Ward ◽  
Tim Edwards ◽  
Alastair R. Ruddle
Keyword(s):  
Cyber Security ◽  
Road Transport ◽  
Security Threats

scholarly journals Guest Editorial: Introduction to the Special Section on Cyber Security Threats and Defense Advance

2020 ◽  
Vol 8 (2) ◽  
pp. 264-266
Author(s):  
Zhe Liu ◽  
Kim-Kwang Raymond Choo ◽  
Weiqiang Liu ◽  
Muhammad Khurram Khan
Keyword(s):  
Cyber Security ◽  
Guest Editorial ◽  
Special Section ◽  
Editorial Introduction ◽  
Security Threats

scholarly journals Modelling fuel consumption and refuelling of autonomous vehicles

2018 ◽  
Vol 235 ◽  
pp. 00037 ◽  
Author(s):  
Máté Zöldy ◽  
Imre Zsombók
Keyword(s):  
Fuel Consumption ◽  
Cyber Security ◽  
Autonomous Vehicles ◽  
Research Direction ◽  
Main Direction ◽  
Driving Function ◽  
Literature Overview ◽  
Trajectory Following ◽  
The Way

In our research we highlighted the problematic of the refuelling of autonomous vehicles. During the way to be full autonomous, the vehicles take over more and more driving function from the driver. It is lot of focus on automotive cyber security or trajectory following, but refuelling is not in the main researches. After reviewing the vehicle drivetrains, it was specified which to focus for further testing. In the second part of the article the main influencers of fuel consumption was listed based on a literature overview. Main aspects of the carried out test is listed and results helped us to refine the research direction. For modelling the refuelling of the vehicle it is an enabler to set realistic models for fuel consumption. Relevant researches were studied and these was extended with overview of refuelling studies. Based on these the main direction of our research was set.

An investigation into the effect of cybersecurity on attack prevention strategies

2020 ◽  
pp. 53-60
Author(s):  
Mohammed I. Alghamdi ◽  
Keyword(s):  
Information Technology ◽  
Computer Networks ◽  
Cyber Security ◽  
Information Technologies ◽  
Vital Role ◽  
Cyber Attacks ◽  
Security Threats ◽  
Prevention Strategies ◽  
Sufficient Knowledge ◽  
Simplified Solution

Our economy, infrastructure and societies rely to a large extent on information technology and computer networks solutions. Increasing dependency on information technologies has also multiplied the potential hazards of cyber-attacks. The prime goal of this study is to critically examine how the sufficient knowledge of cyber security threats plays a vital role in detection of any intrusion in simple networks and preventing the attacks. The study has evaluated various literatures and peer reviewed articles to examine the findings obtained by consolidating the outcomes of different studies and present the final findings into a simplified solution.

Real-time, Simulation-based Identification of Cyber-Security Attacks of Industrial Plants

2021 ◽  
Author(s):  
Abhi Patel ◽  
Tim Schenk ◽  
Steffi Knorn ◽  
Heiko Patzlaff ◽  
Dragan Obradovic ◽  
...  
Keyword(s):  
Real Time ◽  
Cyber Security ◽  
Security Attacks ◽  
Industrial Plants ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Simulation Based

scholarly journals Cyber security detection and monitoring at IHEP private cloud for web services

2019 ◽  
Vol 214 ◽  
pp. 07016 ◽  
Author(s):  
Tian Yan ◽  
Shan Zeng ◽  
Mengyao Qi ◽  
Qingbao Hu ◽  
Fazhi Qi
Keyword(s):  
Web Services ◽  
Cyber Security ◽  
Security Threats ◽  
Cloud Platform ◽  
Private Cloud ◽  
Data Store ◽  
Open Source Data ◽  
Source Data ◽  
System Maintenance ◽  
Security Incidents

To improve hardware utilization and save manpower in system maintenance, most of the web services in IHEP have been migrated to a private cloud build upon OpenStack. However, cyber security attacks becomes a serious threats to the cloud progressively. Therefore, a cyber security detection and monitoring system is deployed for this cloud platform. This system collects various security related logs as data sources, and processes them in a framework composed of open source data store, analysis and visualization tools. With this system, security incidents and events can be handled in time and rapid response can be taken to protect cloud platform against cyber security threats.

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