---
title: "SIVT fraud detection: Differentiating human and IVT traffic when both come from same or similar source"
description: Pixalate, an MRC-accredited company for SIVT detection & filtration for desktop & mobile web impressions, describes differentiating human and IVT traffic when both come from same or similar source.
image: https://www.pixalate.com/hubfs/Blog_Media/Blog%20covers/shutterstock_533635579.jpg
---

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# SIVT fraud detection: Differentiating human and IVT traffic when both come from same or similar source

 Written by [Tyler Loechner](https://www.pixalate.com/blog/author/tyler-loechner)

 Jul 7, 2017 3:51:54 PM

*[Pixalate is an MRC-accredited company](https://blog.pixalate.com/mrc-accreditation-sivt-invalid-traffic-givt-detection-filtration-mobile) for the detection and filtration of Sophisticated Invalid Traffic ("SIVT") desktop and mobile web impressions.*

---

According to the Media Rating Council’s (MRC) standards for [Invalid Traffic Detection and Filtration Guidelines](http://mediaratingcouncil.org/101515_IVT%20Addendum%20FINAL%20(Version%201.0).pdf), there are two types of invalid traffic:

- [GIVT](https://blog.pixalate.com/mrc-definitions-givt-invalid-traffic-detection-filtration) (General Invalid Traffic)
- [SIVT](https://blog.pixalate.com/mrc-definitions-sivt-invalid-traffic-detection-filtration) (Sophisticated Invalid Traffic)

### **What is the “differentiation between human and IVT traffic when originating from the same or similar source in certain closely intermingled circumstances” in the MRC definition of SIVT?**

It’s possible for valid and invalid traffic to occur at the same time on the same device. For instance, a computer infected with malware may be browsing sites automatically in the background while a user operates another  browser in a legitimate manner.

MRC-accredited ad fraud detection and prevention companies must be able to separate valid and invalid traffic by differentiating between human and IVT traffic when originating from the same or similar source.

### **What are some other examples of SIVT?**

To learn about some of the other examples of [SIVT](https://blog.pixalate.com/mrc-definitions-sivt-invalid-traffic-detection-filtration), click on any of the examples below:

-      [Bots and spiders or other crawlers masquerading as legitimate users](https://blog.pixalate.com/mrc-definitions-sivt-bots-spider-crawlers-fake-legitimate-users)
-      [Hijacked devices, user sessions, ad tags, and ad creative](https://blog.pixalate.com/mrc-definitions-sivt-hijacked-devices-user-sessions-ad-tags-creative)
-      [Hidden/stacked/covered or otherwise intentionally obfuscated ad serving](https://blog.pixalate.com/mrc-definitions-sivt-hidden-stacked-obfuscated-ad-serving)
-      [Invalid proxy traffic](https://blog.pixalate.com/mrc-definitions-sivt-invalid-proxy-traffic)
-      [Adware and malware](https://blog.pixalate.com/mrc-definitions-sivt-adware-malware-examples)
-      [Incentivized manipulation of measurements](https://blog.pixalate.com/mrc-definitions-sivt-incentivized-manipulation-measurements)
-      [Falsified viewable impression decisions](https://blog.pixalate.com/mrc-definitions-sivt-falsified-viewable-impression-viewability)
-      [Falsely represented sites](https://blog.pixalate.com/mrc-definitions-sivt-falsely-represented-sites)
-      [Cookie stuffing, recycling, or harvesting](https://blog.pixalate.com/mrc-definitions-sivt-cookie-stuffing-recycling-harvesting-fraud)
-      [Manipulation or falsification of location data](https://blog.pixalate.com/mrc-definitions-sivt-manipulation-falsification-location-data-fake-false)

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# Disclaimer

 Disclaimer: The content of this page reflects Pixalate’s opinions with respect to the factors that Pixalate believes can be useful to the digital media industry. Any proprietary data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate’s opinions are just that - opinion, not facts or guarantees.

 Per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes. Also per the MRC, “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.”

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