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Automotive Intrusion Detection Systems (ids): Securing Can
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 58m | Size: 3.62 GB [/center]
Understand CAN Bus Attacks, IDS Design, and Automotive Security
What you'll learn
Understand how modern vehicles evolved into software-defined, networked systems and why this evolution makes cybersecurity-and intrusion detection-essential.
Explain how the CAN bus works, including message structure, timing behavior, arbitration, and why CAN's trust-based design is vulnerable to cyber attacks
Explain how the CAN bus works, including message structure, timing behavior, arbitration, and why CAN's trust-based design is vulnerable to cyber attacks.
Identify and analyze common CAN attacks, such as message injection and denial-of-service (DoS), and understand how these attacks affect vehicle behavior.
Describe different IDS deployment models in vehicles, including host-based, network-based, gateway-based, and distributed IDS architectures.
Explain major IDS detection techniques, including signature-based, anomaly-based, and specification-based detection, and understand when each is appropriate.
Select and interpret CAN IDS features, such as identifier frequency, timing, jitter, payload ranges, and bus load, used to detect malicious behavior.
Design a basic CAN-based IDS architecture, translating a threat model into detection features and rules while respecting automotive safety constraints
Evaluate automotive IDS performance using practical metrics such as false positives, false negatives, detection latency, and resource usage.
Analyze real-world CAN attack case studies and understand how IDS detects attacks in practice without authentication or encryption.
Requirements
Basic understanding of how vehicles or embedded systems work
Familiarity with general networking concepts
Interest in automotive systems or cybersecurity
A computer or tablet with internet access
No software installation required
Description
Automotive Intrusion Detection Systems (IDS): Securing CAN NetworksModern vehicles are no longer just mechanical machines. They are software-defined, networked systems that rely heavily on in-vehicle communication networks to operate safely and efficiently. With this transformation comes a growing cybersecurity risk, especially on in-vehicle networks such as the Controller Area Network (CAN), which was originally designed without security in mind.This course provides a clear, practical, and industry-aligned introduction to Automotive Intrusion Detection Systems (IDS), with a strong focus on CAN-based vehicle architectures. It explains not only how attacks occur, but also how real automotive systems detect malicious behavior while respecting strict safety and real-time constraints.Unlike many academic or tool-focused courses, this course teaches how automotive security engineers actually think and work. You will not just learn what an IDS is. You will understand why detection is preferred over prevention in vehicles, how attacks manifest in CAN traffic, and how IDS solutions are realistically designed, evaluated, and deployed in production environments.In this course, you will learn how modern vehicles evolved into networked systems, how CAN communication works and why it is vulnerable, and how common CAN attacks such as message injection and denial of service affect vehicle behavior. You will also explore IDS concepts, deployment models, detection techniques, and real-world case studies that demonstrate how CAN-based IDS works in practice.This course is concept-driven, safety-aware, and vendor-neutral, making it ideal for learners who want long-term, transferable automotive cybersecurity knowledge applicable to real engineering roles.
Who this course is for
Basic technical curiosity is enough. All concepts are explained from the ground up.
Students and beginners entering automotive cybersecurity
Automotive and embedded engineers transitioning into security
Cybersecurity professionals new to the automotive domain
No prior automotive cybersecurity experience is required
Automotive Intrusion Detection Systems (ids): Securing Can
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 58m | Size: 3.62 GB [/center]
Understand CAN Bus Attacks, IDS Design, and Automotive Security
What you'll learn
Understand how modern vehicles evolved into software-defined, networked systems and why this evolution makes cybersecurity-and intrusion detection-essential.
Explain how the CAN bus works, including message structure, timing behavior, arbitration, and why CAN's trust-based design is vulnerable to cyber attacks
Explain how the CAN bus works, including message structure, timing behavior, arbitration, and why CAN's trust-based design is vulnerable to cyber attacks.
Identify and analyze common CAN attacks, such as message injection and denial-of-service (DoS), and understand how these attacks affect vehicle behavior.
Describe different IDS deployment models in vehicles, including host-based, network-based, gateway-based, and distributed IDS architectures.
Explain major IDS detection techniques, including signature-based, anomaly-based, and specification-based detection, and understand when each is appropriate.
Select and interpret CAN IDS features, such as identifier frequency, timing, jitter, payload ranges, and bus load, used to detect malicious behavior.
Design a basic CAN-based IDS architecture, translating a threat model into detection features and rules while respecting automotive safety constraints
Evaluate automotive IDS performance using practical metrics such as false positives, false negatives, detection latency, and resource usage.
Analyze real-world CAN attack case studies and understand how IDS detects attacks in practice without authentication or encryption.
Requirements
Basic understanding of how vehicles or embedded systems work
Familiarity with general networking concepts
Interest in automotive systems or cybersecurity
A computer or tablet with internet access
No software installation required
Description
Automotive Intrusion Detection Systems (IDS): Securing CAN NetworksModern vehicles are no longer just mechanical machines. They are software-defined, networked systems that rely heavily on in-vehicle communication networks to operate safely and efficiently. With this transformation comes a growing cybersecurity risk, especially on in-vehicle networks such as the Controller Area Network (CAN), which was originally designed without security in mind.This course provides a clear, practical, and industry-aligned introduction to Automotive Intrusion Detection Systems (IDS), with a strong focus on CAN-based vehicle architectures. It explains not only how attacks occur, but also how real automotive systems detect malicious behavior while respecting strict safety and real-time constraints.Unlike many academic or tool-focused courses, this course teaches how automotive security engineers actually think and work. You will not just learn what an IDS is. You will understand why detection is preferred over prevention in vehicles, how attacks manifest in CAN traffic, and how IDS solutions are realistically designed, evaluated, and deployed in production environments.In this course, you will learn how modern vehicles evolved into networked systems, how CAN communication works and why it is vulnerable, and how common CAN attacks such as message injection and denial of service affect vehicle behavior. You will also explore IDS concepts, deployment models, detection techniques, and real-world case studies that demonstrate how CAN-based IDS works in practice.This course is concept-driven, safety-aware, and vendor-neutral, making it ideal for learners who want long-term, transferable automotive cybersecurity knowledge applicable to real engineering roles.
Who this course is for
Basic technical curiosity is enough. All concepts are explained from the ground up.
Students and beginners entering automotive cybersecurity
Automotive and embedded engineers transitioning into security
Cybersecurity professionals new to the automotive domain
No prior automotive cybersecurity experience is required
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