Framework Safety

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Framework Safety by Mind Map: Framework Safety

1. Qualification of workshop cars

1.1. Representation of the onRoadCar

1.1.1. Inputs

1.1.2. Environment (e.g. using emulator within a simulator to overcome environment replication challenges)

1.1.3. Attack vectors

1.1.4. Hardware and Software

1.1.5. Components setup

1.2. Security strength

1.2.1. Following standards

1.2.2. Active ECU's strength

1.3. Hardware issues

1.3.1. Components state (e.g. due to aging) (can be resolved using majority voting)

2. Trustworthiness of workshop cars

2.1. Security

2.1.1. Security mechanisms (e.g. mutual authentication, secured communication channel)

2.1.2. Compromise

2.1.3. Legitimacy of source

2.2. Administration and ownership

2.2.1. Administration of experiments (e.g. OEM or 3rd party)

2.2.2. Workshop cars ownership (e.g. OEM or individuals)

2.3. Privacy

2.3.1. Sharing onRoadCar's information

2.4. Complexity

2.4.1. Many factors

3. Framework considerations

3.1. Cyber issues

3.1.1. Availability

3.1.2. Spoofing of server (e.g. man-in-the-middle attack, spoofing server's identity)

3.2. Workshop cars configurations

3.2.1. Variability of vehicles (hard to find identical vehicles)

3.2.2. Reprogramming takes time (causing delays in consultations)

3.3. Strengthening safety

3.3.1. Exploring potential threats on different assets and perform risk assessment

3.4. Evaluation process

3.4.1. Safety should be the main parameter

3.5. Assumptions complexity

3.5.1. Assumptions are challenging to address (e.g. attack simulation)

4. Automated experiments without human interaction

4.1. Attack complexity

4.1.1. Human intervention when implementing exact attacks

4.1.2. Impossible to implement response techniques for complicated attacks

4.1.3. Attack implementation

4.2. Response technique implementation

4.2.1. Test after developing

4.2.2. Comprehensiveness of safety when evaluating response techniques

4.2.3. Standards and certifications

4.2.4. Development and evaluation based on entire attack and environment scenario

4.3. Experiment configurations

4.3.1. Range of possible variant configurations (to avoid unconsidered states)

4.3.2. Attributes under focus can affect judgement on safety (e.g. only consider performance without safety)

4.3.3. Human interactions

4.3.4. Environmental conditions

4.3.5. Selection of workshop cars from multiple workshops