Z8 FW update?
- Thread starter marvf
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Roy
Well-known member
maxxus46
Active member
An interesting interaction using AI (ChatGPT) regarding C2PA and possible crypto bypass, via stripping of metadata or mimicking of cameras signature ;
C2PA (Coalition for Content Provenance and Authenticity) technology aims to enhance trust in digital media by embedding cryptographic metadata into images and videos at the point of creation. This metadata contains information about the origin, editing history, and integrity of the content, making it easier to verify authenticity. However, it is not completely foolproof against all forms of forgery. Here's why:
Why It’s Harder but Not Impossible
1. Tamper-Resistant Metadata:
With C2PA, any modification to the image would likely invalidate its cryptographic signature, making it evident that the content has been altered.
AI-generated fakes would need to bypass or replicate the cryptographic signing process, which is extremely challenging without access to private keys.
2. Forgery of Metadata:
Advanced attackers could potentially reverse-engineer or spoof metadata by compromising the cryptographic keys or mimicking the original camera's signature process.
3. Bypassing C2PA Cameras:
AI could generate fake photos without using C2PA-enabled devices, then strip metadata or claim it was captured by non-C2PA sources.
4. Trust in Provenance:
If the C2PA ecosystem's trust is compromised (e.g., if a trusted manufacturer's keys are stolen), attackers could create fake but seemingly authentic content.
Limitations
Non-C2PA Content: Images created or manipulated outside the C2PA framework cannot be authenticated or verified in the same way.
Deepfakes and Generative AI: C2PA can't inherently prevent the generation of fake content; it only provides tools for verifying authenticity if the content is part of the system.
Consumer Awareness: For C2PA to work effectively, users must know how to interpret and trust its metadata.
Conclusion
C2PA significantly raises the bar for creating convincing fake photos by embedding robust provenance and authenticity checks. However, while it makes forgery more difficult and detectable, it does not make it entirely impossible, especially in cases where the system's trust or hardware is compromised.
C2PA (Coalition for Content Provenance and Authenticity) technology aims to enhance trust in digital media by embedding cryptographic metadata into images and videos at the point of creation. This metadata contains information about the origin, editing history, and integrity of the content, making it easier to verify authenticity. However, it is not completely foolproof against all forms of forgery. Here's why:
Why It’s Harder but Not Impossible
1. Tamper-Resistant Metadata:
With C2PA, any modification to the image would likely invalidate its cryptographic signature, making it evident that the content has been altered.
AI-generated fakes would need to bypass or replicate the cryptographic signing process, which is extremely challenging without access to private keys.
2. Forgery of Metadata:
Advanced attackers could potentially reverse-engineer or spoof metadata by compromising the cryptographic keys or mimicking the original camera's signature process.
3. Bypassing C2PA Cameras:
AI could generate fake photos without using C2PA-enabled devices, then strip metadata or claim it was captured by non-C2PA sources.
4. Trust in Provenance:
If the C2PA ecosystem's trust is compromised (e.g., if a trusted manufacturer's keys are stolen), attackers could create fake but seemingly authentic content.
Limitations
Non-C2PA Content: Images created or manipulated outside the C2PA framework cannot be authenticated or verified in the same way.
Deepfakes and Generative AI: C2PA can't inherently prevent the generation of fake content; it only provides tools for verifying authenticity if the content is part of the system.
Consumer Awareness: For C2PA to work effectively, users must know how to interpret and trust its metadata.
Conclusion
C2PA significantly raises the bar for creating convincing fake photos by embedding robust provenance and authenticity checks. However, while it makes forgery more difficult and detectable, it does not make it entirely impossible, especially in cases where the system's trust or hardware is compromised.
jpgrove
Member
I have a felling that the recent 5.10 update has taken some time to implement, while video focused this is an area that Nikon need to grow its business. Couple that with the very frustrating bugs causing camera lock up (which appears to have been a combination of FW bugs and CFexpress card issues) I think Nikon have done a pretty good job with this update.
I have had the same lock up with my Z8 so I can only assume that the bug fixes will roll down in the new year, only Nikon can decide if the video functions in the current 5.10 FW are rolled down to the Z8; in my opinion they will as its another set of customers that Nikon will want to keep happy.
Either way keep enjoying the camera(s) and keep on taking pictures.
I have had the same lock up with my Z8 so I can only assume that the bug fixes will roll down in the new year, only Nikon can decide if the video functions in the current 5.10 FW are rolled down to the Z8; in my opinion they will as its another set of customers that Nikon will want to keep happy.
Either way keep enjoying the camera(s) and keep on taking pictures.