Microsoft, Intel Introduce 'STAMINA' Approach to Malware Detection

[silversurfer]

Content source

https://www.securityweek.com/microsoft-intel-introduce-stamina-approach-malware-detection

Microsoft and Intel have been working together on a new approach to malware detection that involves deep learning and the representation of malware as images.

Referred to as STAtic Malware-as-Image Network Analysis (STAMINA), the research leverages Intel’s previous work on static malware classification through deep transfer learning and applies it to a real-world dataset from Microsoft to determine its practical value.

The approach is based on the inspection of malware binaries plotted as grayscale images, which has revealed that there are textural and structural similarities between binaries from the same malware families, and differences between different families or between malware and benign software.

In their whitepaper on STAMINA, researchers from Intel (Li Chen and Ravi Sahita) and Microsoft (Jugal Parikh and Marc Marino) argue that the classic malware detection approach that relies on signature matching is becoming less straightforward due to the rapid increase in signatures, while static and dynamic approaches might not be accurate or time-efficient.

STAMINA, the researchers explain, consists of four steps: preprocessing (image conversion), transfer learning, evaluation, and interpretation.

 

[Aggravatorx]

So this should mean also Mcafee {INTEL} also will be even better with there protection with Stamina

 

[Gandalf_The_Grey]

So this should mean also Mcafee {INTEL} also will be even better with there protection with Stamina

Not anymore:

McAfee spins out of Intel to become an independent cybersecurity company

A senior McAfee executive explained to CNBC how McAfee, as a standalone security company, can tackle cybersecurity and risk.

www.cnbc.com

 

[Aggravatorx]

oh did not know this thank you

Gandalf_The_Grey

 

[MacDefender]

This seems like a common AI technique these days. I’ve seen the same being used for certain forms of text recognition as well as in upcoming radar detectors. Convert into some sort of picture representation and use the vast set of image recognition AIs on that.

 

[[correlate]]

The researchers used an approach that they called static malware-as-image network analysis (STAMINA), Jugal Parikh and Marc Marino from Microsoft Threat Protection Intelligence Team wrote in a blog post.