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Two Transport Biosecurity Projects Approved Under Wean-to-Harvest Biosecurity Research Program

Farmscape for October 30, 2024

Two research projects approved through the Swine Health Information Center's Wean-to-Harvest Biosecurity Research Program will focus on reducing the risk of swine transport vehicle contamination at hog processing plants and at deadstock disposal sites.
The Swine Health Information Center’s Wean-to-Harvest Biosecurity Research Program, funded in collaboration with the Foundation for Food and Agriculture Research and Pork Checkoff, has approved funding for research intended to help improve transport vehicle biosecurity where the transport trailer interfaces with the harvest facility and at the deadstock disposal site.
SHIC Associate Director Dr. Lisa Becton says two projects will be conducted by the University of Minnesota.

Quote-Dr. Lisa Becton-Swine Health Information Center:
The first project is quantifying trailer contamination rates at the harvest plant interface.
The goal of this project is to gather and analyze data on viral contamination rates in trailers and this will be looking at a 12-month period over time at the plant interface.
It's going to assess the rates of PED, PRRS and Senaca Valey Virus and the goal is to understand what are the epidemiology factors related to trailers and unloading for the ability to either increase or decrease contamination rates, to understand what happens at that interface and then determine what are things that we can do to mitigate those risks.
The second project is going to be assessing viral contamination of mortality disposal structures at wean to harvest farms.
It's going to describe what the current procedures are for disposal and assess viral contamination in the environment around those containers but also to assess what is happening at these disposal structures such as compost and dead box and to detect and test what could be a decontamination strategy.
Again, the goal is to help identify risks and to develop a strategy to mitigate those risks.

Dr. Becton says the two projects will be conducted over a 12 month span to take into account seasonal changes and how those changes can drive the risk of disease introduction.
Information on this work can be found at swinehealth.org.
For more visit Farmscape.Ca.
Bruce Cochrane.


       *Farmscape is produced on behalf of North America’s pork producers




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Tongue Tip Fluids Provide Accurate PRRS Detection

Farmscape for November 6, 2024

Research conducted by Iowa State University shows tongue tip fluids collected from stillborn and dead piglets can be used to accurately detect the presence of the virus responsible for PRRS.
With the goal of improving the diagnostic value of tongue tips for PRRS surveillance, an Iowa State University study funded through the Swine Health Information Center, evaluated four different sample collection protocols across 597 tongue tips from stillborn and dead piglets.
SHIC Associate Director Dr. Lisa Becton says this is a relatively easy to use type of sample that's being assessed to determine its accuracy for detecting disease in swine.

Quote-Dr. Lisa Becton-Swine Health Information Center:
The key findings really showed that virus isolation of PRRS can be done from tongue tip fluids.
This is important because, up until this time, it had not been proven that this could happen so verifying that the virus isolation can be done is important because that helps to specifically determine if live virus is present in samples that are collected, not just the presence of the RNA.
It's also important because it does provide a way to evaluate different sample protocols and then determine which of those really are the best suited for the best diagnostic outcomes.
Those things are very important, especially when we're looking at newer sample types to provide veterinarians and producers a way to have confidence in utilization of these alternative sample types.
This information will be utilized and shared both with producers and veterinarians because a lot of times people are looking at what are different ways that are relatively labour friendly to be able to collect samples to assess disease status on their farms and tongue tip fluids were one of those samples that was identified as needing investigation so it was important to have research on this to be able to come up with production protocols that can be used for this sample type.

Dr. Becton acknowledges diagnostic tests can be costly so you want to optimize the diagnostic results from the samples submitted to the lab by understanding the protocols to follow when collecting those samples.
Full results of the study can be found at swinehealth.org.
For more visit Farmscape.Ca.
Bruce Cochrane.


       *Farmscape is produced on behalf of North America’s pork producers




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Pork Sector Stakeholders Invited to Provide Input for 2025 Planning Process

Farmscape for November 8, 2024

The Swine Health Information Center is inviting pork sector stakeholders to provide their input into its annual plan or work planning process.
Each year, as part of its mission to protect and enhance the health of the U.S. swine herd by minimising the impact of emerging disease threats, the Swine Health Information Center reevaluates its activities and research priorities.
SHIC Executive Director Dr. Megan Niederwerder says stakeholders are invited to provide their input to help identify the greatest needs, the greatest emerging disease risks and where activities should be focussed in 2025.

Quote-Dr. Megan Niederwerder-Swine Health Information Center:
Our five strategic priorities are to improve swine health information, to monitor and mitigate risk to swine health, to respond to emerging diseases, to conduct surveillance and discovery of emerging diseases and then to prioritise swine disease risk through our disease matrices.
We look at those five strategic priorities, we start to look at allocation of budget and resources then we have a series of stakeholder meetings that occur throughout the fall.
This includes pork producers, veterinary diagnosticians, swine health researchers, pork producer state organizations, swine veterinarians and other industry stakeholders that can help us to identify those emerging disease risks and priorities that should be included on the 2025 plan.
After the conclusion of the stakeholder listening sessions, we take those research priorities and ideas that have been generated to the two Swine Health Information Center working groups.
This working groups assist us in helping to prioritise each of the research topics with regards to how they help us to build a SHIC mission.
We then take those prioritised ideas and research objectives to the SHIC Board of Directors who help review and revise and ultimately approve the plan of work for the upcoming year.

Dr. Niederwerder says the goal is publish the plan by the end of the year to inform stakeholders of upcoming activities and outline research priorities to enable researchers to submit proposals to address those priorities.
To provide feedback visit swinehealth.org.
For more visit Farmscape.Ca.
Bruce Cochrane.


       *Farmscape is produced on behalf of North America’s pork producers




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Stockmanship Dramatically Improved Since the 1990s

Farmscape for November 8, 2024

An Animal Science Professor with Colorado State University says the handling of livestock and the understanding of animal behavior have improved dramatically since the 1990s.
"Pig Handling and Welfare" was the focus of the day one keynote address at Saskatchewan Pork Industry Symposium 2024, held this week in Saskatoon.
Dr. Temple Grandin, an animal science professor with Colorado State University, says there is a much greater awareness of the benefits of superior stockmanship.

Quote-Dr. Temple Grandin-Colorado State University:
One thing that's really good is handling has improved.
That's the good news but also attitudes toward welfare have changed.
I started out in the 70s and was the livestock chairman for a group called LCI, Livestock Conservation Institute.
It was a livestock organization and they had committees on preventing death losses in pigs, reducing bruises in cattle.
It all had to do with economic losses.
Then, when I first started out working with cattle, I emphasized how I could improve the economics.
Nobody at that point was even talking about welfare then gradually things got more interested in welfare.
Maybe 20 years ago there was a lot videos put out showing really horrible handling, really bad stuff, pitchfork in the milking parlor, knocking dairy cows over with a forklift, beating pigs with gate rods as hard as they could beat them, just really bad things and that started a lot of the things on handling.
I did work with McDonalds, Burger King and Wendy's in 1999 on inspecting pork and beef slaughter plants and it was very interesting taking high executives out and when they saw something really bad it was a true undercover boss moment.
They realized that there were things that we did have to fix but that kind of stuff's not going on now.
It took a long  time for a lot of people to accept that pigs and other animals feel pain.
Now the big emphasis has gone from, you've got to prevent suffering.

Dr. Grandin suggests by measuring and scoring handling, including such factors such as slips and falls, electric prod use, body condition score, lameness, vocalization you can tell whether you're getting better or worse.
For more visit Farmscape.Ca.
Bruce Cochrane.


       *Farmscape is produced on behalf of North America’s pork producers




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I currently drive a BMW X5, and I’m looking to upgrade to the Mercedes-Benz EQS SUV or the Range Rover Sport. What would you recommend?

Suraj M, Gurugram

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Using X.509 Certs for DID Provenance

Summary: The abundance of X.509 certificate authorities who already perform identity proofing for businesses provides a rich resource that can be leveraged to boot the verifiable data ecosystem.

When you used a verifiable credential to prove something about yourself, the verifier can know cryptographically: (1) the identifiers for the issuer, (2) the credential hasn't been tampered with, (3) the credential was issued to you, and (4) the credential hasn't been revoked. These four checks are important because their establish the fidelity of the data being transferred. They don't, however, tell them whether they can trust the issuer. For that, they need to take the issuer's decentralized identifier (DID) that they got from credential presentation and determine who it belongs to.

At the most recent Internet Identity Workshop, Drummond Reed gave a session on how X.509 certificates could help with this. The first step, like always, is to resolve the DID and retrieve the DIDDoc that associates keys and endpoints with the DID. The endpoint can be an HTTP server and, of course, should have an X.509 certificate providing TLS security. That certificate, at the very least, has a a domain name to bind that to the certificate's public key. It can, if you pay for the feature, also include information about the entity that applied for the certificate. The certificate authority proofs that information and is vouching for it when they sign the certificate.

The key to making the X.509 certificate useful for checking the provenance of a DID lies in one key change. X.509 certificates can contain and extended field called a Subject Alternative Name. This following figure shows how it can help.

Using X.509 Certificates to establish the owner of a DID (click to enlarge)

In this figure:

  1. The issuer (Attestor) creates the DID they will use to issue the certificate along with its associated DIDDoc, including an HTTP endpoint for DID verification.
  2. Attestor applies for a X.509 certificate for that endpoint, including in the application the DID they created in (1).
  3. The certificate authority does it's usual proofing of the application and issues a certificate that includes the DID in the Subject Alternative Name field.
  4. The issuer creates a credential definition in the usual way that includes their DID and writes it to whatever Verifiable Data Registry their DID method dictates.
  5. Attestor issues a credential to a holder (Alice) using that credential definition.
  6. At some later time, Alice presents the credential to the verifier (Certiphi).
  7. Certiphi resolves the DID to get the DIDDoc and retrieves the verfication endpoint from the DIDDoc
  8. Certiphi retrieves the certificate for that endpoint1.
  9. Certiphi verifies the certificate by checking it's signature and ensures that the DID in the DIDDoc for the credential matches the one in certificate.2

The issuer's DID has now been tied in a verifiable way to whatever information is in the certificate. Provided the certificate includes information about the entity beyond the domain name, the verifier can use that information to determine whether or not the credential is authentic (i.e., issued by who the credential definition purports issued it). That might be all the evidence they need to determine whether to trust the entity. Certificate authorities could also issue verifiable credentials to the customer attesting the same verified claims—after all, it's one more product they can offer.

The benefit of doing issuer validation using X.509 certificates is that there are already many trusted X.509 certificate authorities in business who already do proofing of attributes about businesses. That's a huge chunk of the verifiable data ecosystem that doesn't need to be built because it can be leveraged. To make this work, digital certificate authorities would need to start offering to validate DIDs and include them in a certificate as a Subject Alternative Name. I don't discount that this will take some bureaucratic maneuvering. Certificate authorities will need to see a business opportunity. I'd love to see Digitcert or someone do a pilot on this.

Notes

  1. Note that this step might be combined with the previous step if the Verifiable Data Registry is the same server as the endpoint, but that's not necessarily going to be the case for a number of reasons.
  2. Note that this does not create a call back wherein Attestor can determine which credential was used, preserving the privacy of the presentation. Attestor does know one of its credentials has been presented to Certiphi. If this information leakage bothers you, then any web-based DID method is potentially a problem.

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Can LLMs Provide References for Their Work? An Experiment

Summary: We know that LLMs hallucinate. And we know that we can overcome some of that problem with better prompts. But can LLMs provide references for their work? I conducted an experiment.

Recently my friend Scott Mace asked this on X in response to a post about the evolution of software and how LLMs will likely follow that same trajectory:

Yes, but how trustworthy will it be? Can I at least see the links it used to create its response?
From X
Referenced 2024-05-21T18:09:06-0400

The short answer is "no", but the real answer is a bit more nuanced because of how LLMs like ChatGPT work. First the short answer: LLMs don't understand what they're saying so they can't reference the material that it used to create a response. They don't work like that. They don't go out, do a bunch of research and then create a response. Instead lots (and I mean LOTS) of material is fed into the program that creates the model, a multi-dimensional matrix of word orders. Then when you ask a question ("give it prompt" in LLM-speak), it processes the question and generates text based on the probabilities of words in its model1. There's no way it can satisfy Scott directly because the model doesn't—can't, as far as I know—include the references that it used to create the text because it's generating it on the fly from material that has been thoroughly blended together.

But, in fairness, that's not what people do most of the time either. If you asked me over lunch or at the end of a tech presentation to describe zero trust and its pros and cons, I'd start talking. I wouldn't start looking up things on the web and somehow weave them into text complete with references. I'd go look for references if you asked me to back up something I said. So, let's try that with ChatGPT 4o. I gave it the following prompt:

You are a writer for a website focusing on technology. Your specialty is security. Write a 150 word explanation of zero trust with three pros and three cons.

ChaptGPT answered with this text:

Zero Trust is a security model based on the principle of "never trust, always verify." Unlike traditional security models that assume everything inside the network is safe, Zero Trust assumes that threats can exist both inside and outside the network. It requires strict identity verification for every user and device attempting to access resources, regardless of their location.

Pros:

  1. Enhanced Security: By continuously verifying users and devices, Zero Trust reduces the risk of breaches and unauthorized access.
  2. Minimized Attack Surface: It limits access to only what is necessary, reducing potential entry points for attackers.
  3. Improved Compliance: Helps meet regulatory requirements by ensuring strict access controls and logging all access attempts.

Cons:

  1. Complex Implementation: Deploying Zero Trust can be complex and time-consuming, requiring a significant overhaul of existing systems and processes.
  2. Increased Costs: The initial investment in technology and training can be high.
  3. User Experience Impact: Continuous verification can lead to friction and inconvenience for users if not implemented smoothly.

Zero Trust is essential for modern cybersecurity, but it requires careful planning and resources to implement effectively.

That's pretty good. But what if we need some references to other material to back up the pros and cons? I asked ChatGPT to supply them:

Now repeat that task, but this time include references as hyperlinks to back up each pro and con.

ChaptGPT answered with this text:

Zero Trust is a security model based on the principle of "never trust, always verify." Unlike traditional security models that assume everything inside the network is safe, Zero Trust assumes that threats can exist both inside and outside the network. It requires strict identity verification for every user and device attempting to access resources, regardless of their location.

Pros:

  1. Enhanced Security: By continuously verifying users and devices, Zero Trust reduces the risk of breaches and unauthorized access (CSO Online).
  2. Minimized Attack Surface: It limits access to only what is necessary, reducing potential entry points for attackers (NIST).
  3. Improved Compliance: Helps meet regulatory requirements by ensuring strict access controls and logging all access attempts (Gartner).

Cons:

  1. Complex Implementation: Deploying Zero Trust can be complex and time-consuming, requiring a significant overhaul of existing systems and processes (Forrester).
  2. Increased Costs: The initial investment in technology and training can be high (ZDNet).
  3. User Experience Impact: Continuous verification can lead to friction and inconvenience for users if not implemented smoothly (TechRepublic).

Zero Trust is essential for modern cybersecurity, but it requires careful planning and resources to implement effectively.

That looks great! Nice references for each bullet. There's just one problem. All the links, except the NIST reference, are dead. I don't know if they're wrong, made up, or stale. I tried finding content on a few of the sites by searching and came up dry. As I heard Johannes Ernst say once, ChatGPT is a "large language model" not a "large fact model" and this bears that out.

Still, asking for references or evidence for statements is something people are going to want. So, I tried a different tack. This time I asked this:

Why do you say complex implementation is a problem for zero trust? Can you give me a few references on that I can read myself?

ChatGPT responded with this:

Implementing a Zero Trust security model can be challenging for several reasons:

  1. Overall Complexity: Zero Trust requires a comprehensive understanding of your network's intricacies, including users, devices, applications, and data. This can involve significant changes to existing infrastructure, which can be disruptive and costly. Organizations need to be prepared for the extensive planning and resources required for successful implementation​ (Help Net Security)​​ (Enterprise Networking Planet​).
  2. Legacy Systems: Many organizations have legacy systems that are not designed to operate within a Zero Trust framework. These systems might require different security measures or even complete replacement, adding to the complexity and cost (Help Net Security)​​ (Enterprise Networking Planet​)
  3. Cultural Shift: Zero Trust is not just a technological shift but also a cultural one. It requires continuous verification and strict access controls, which can lead to user frustration and resistance if not managed properly. Ensuring user buy-in and minimizing disruption to workflows through training and communication is essential (Deloitte United States)​​ (Guidehouse).
  4. Resource Intensive: Implementing and maintaining Zero Trust can put a strain on IT resources due to the need for continuous monitoring and management. The need for advanced security tools and ongoing updates further adds to the resource demands (Help Net Security)​​ (Enterprise Networking Planet​).
  5. Stakeholder Alignment: Achieving buy-in from all stakeholders and aligning them with the Zero Trust principles is critical. This requires a coordinated effort to educate stakeholders, prioritize gaps, and ensure consistent understanding and application of Zero Trust principles across the organization (Deloitte United States)​​ (Guidehouse).

These challenges highlight the importance of a phased and well-planned approach to Zero Trust implementation, considering both technological and human factors. For more detailed insights, you can refer to articles from Help Net Security and Guidehouse.

Much better. The links in the bullets all work, but the ones at the end don't. The articles it references aren’t very detailed, so I wouldn’t say they’re stellar references, but at least there’s a pointer to outside material that discusses similar challenges. So, partial success.

I've found that when you're using ChatGPT to do research, treating it like a librarian and asking questions that follow up are the best way to gain confidence that the material is correct and find the supporting material, just as I did above. I'm sure you could wrap additional helper functions around an LLM to make getting references easier. But for now interrogation through chat is the best way to get comfortable with the results.


Notes

  1. Yeah, this is really simplified and thus wrong, but it's directionally correct. For a better explanation, see What Is ChatGPT Doing … and Why Does It Work?.

Photo Credit: Older Man Talking to Robot Librarian from DALL-E (public domain) Prompt: draw me a rectangular picture of an older man talking with a robot librarian. Use earth tones.

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