1,720,967 research outputs found
Cybersecurity for future interconnected and smart vehicles
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN Bus
Full text linkThe Controller Area Network (CAN) protocol, essential for automotive embedded systems, lacks inherent security features, making it vulnerable to cyber threats, especially with the rise of autonomous vehicles. Traditional security measures offer limited protection, such as payload encryption and message authentication. This paper presents a novel Intrusion Detection System (IDS) designed for the CAN environment, utilizing Hardware Performance Counters (HPCs) to detect anomalies indicative of cyber attacks. A RISC-V-based CAN receiver is simulated using the gem5 simulator, processing CAN frame payloads with AES-128 encryption as FreeRTOS tasks, which trigger distinct HPC responses. Key HPC features are optimized through data extraction and correlation analysis to enhance classification efficiency. Results indicate that this approach could significantly improve CAN security and address emerging challenges in automotive cybersecurity
Recognition driven burst transmissions in distributed third generation surveillance systems
No full textA general architecture for distributed third-generation surveillance systems is discussed. In particular an approach for selecting the optimal distribution of intelligence (task allocation) is presented. The introduction of recognition tasks which can cause the interruption of the processing and transmission flow is discussed. Experimental results over a simulated system illustrate the presented approach for optimal distribution of intelligence. © 2001 IEEE
Robust tracking of humans and vehicles in cluttered scenes with occlusions
No full textIn this paper, an algorithm for tracking multiple non-rigid objects in cluttered scenes is presented. The proposed approach models the shape of the objects by using corners. In particular, a learning algorithm is introduced in order to automatically extract an adaptive model of the object. The obtained adaptive model is used to individuate the object position and scale when occlusions are present. The method is used on an existing video-surveillance system in order to track moving object in cluttered scenes. Results show that the proposed approach provides good performances with low processing times
PSP Framework: A novel risk assessment method in compliance with ISO/SAE-21434
Full text linkAs more cars connect to the internet and other devices, the automotive market
has become a lucrative target for cyberattacks. This has made the industry more
vulnerable to security threats. As a result, car manufacturers and governments
are working together to reduce risks and prevent cyberattacks in the automotive
sector. However, existing attack feasibility models derived from the
information technology field may not always provide accurate assessments of the
potential risks faced by Vehicle Electronic Control Units in different
operating conditions and domains. This paper introduces the PUNCH Softronix and
Politecnico di Torino (PSP) framework to address this issue. This framework is
designed to provide accurate assessments compatible with the attack feasibility
models defined by the automotive product security standards. The PSP framework
utilizes social sentiment analysis to evaluate the real threat risk levels
CAN-MM: Multiplexed Message Authentication Code for Controller Area Network message authentication in road vehicles
Full text linkThe automotive market is increasingly profitable for cyberattacks with the
constant shift toward fully interconnected vehicles. Electronic Control Units
(ECUs) installed on cars often operate in a critical and hostile environment.
Hence, both carmakers and governments have decided to support a series of
initiatives to mitigate risks and threats belonging to the automotive domain.
The Controller Area Network (CAN) is the primary communication protocol in the
automotive field, and the integrity of the communication over this network is
assured through Message Authentication Codes (MAC). However, limitations in
throughput and frame size limit the application of this technique to specific
versions of the CAN protocol, leaving several vehicles still unprotected. This
paper presents CAN Multiplexed MAC (CAN-MM), a new approach exploiting
frequency modulation to multiplex MAC data with standard CAN communication.
CAN-MM allows transmitting MAC payloads maintaining full-back compatibility
with all versions of the standard CAN protocol. Moreover, multiplexing allows
sending DATA and MAC simultaneously.Comment: in IEEE Transactions on Vehicular Technolog
CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
Full text linkModern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such threats using contemporary tools like Intrusion Detection Systems (IDSs) based on data analysis and classification, large datasets of CAN messages become imperative.This paper delves into the feasibility of generating synthetic datasets by harnessing the modeling capabilities of simulation frameworks such as Simulink coupled with a robust representation of attack models to present CARACAS, a vehicular model, including component control via CAN messages and attack injection capabilities. CARACAS showcases the efficacy of this methodology, including a Battery Electric Vehicle (BEV) model, and focuses on attacks targeting torque control in two distinct scenarios
Navigating the road to automotive cybersecurity compliance
Full text linkModern vehicles are now part of a complex digital ecosystem, leveraging Artificial Intelligence (AI) and cloud computing for enhanced safety, efficiency, and user experience. However, this digital integration has introduced significant cy-bersecurity challenges, including data protection, unauthorized access prevention, and user privacy. As vehicles become more vulnerable to cyber-attacks, the industry must implement robust cybersecurity measures. Regulations like the UN's UNR155 and UNR156 establish stringent cybersecurity requirements, demanding comprehensive manage-ment systems, regular updates, and continuous testing to counter evolving threats. These regulations under score the importance of cybersecurity in automotive safety. Future automotive cybersecurity will depend on developing advanced protections and collaboration among manufacturers,policymakers, and cybersecurity experts to ensure innovation and security in an interconnected digital world
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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