Feature extraction from Image metadata

I am working on a security problem as part of university research, where I am trying to identify malicious images. I have a huge set of fuzzed/malformed images that were used as test images, and were categorized as Pass/Warning/Fail images based on the test results on various mobile platforms.

I need help in devising a feature extraction algorithm/methodology to identify features from the image metadata, which can be used with a software like Weka to run against various machine learning algorithms. This is so that I can identify future images which can cause crashes.

I have to mine for attributes from images (most likely from the metadata) that can be fed in to Weka to run various machine learning algorithms, in order to detect malicious images.

I had earlier used information like pixel information, histogram distribution etc using tools like ImageJ to help me classify images, however I am looking for a better way (with regards to the security) to identify and quantify features from the image/image-metadata.

Skills: Computer Security, Data Mining, Data Processing, Imaging, Scientific Research

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About the Employer:
( 1 review ) Singapore, Singapore

Project ID: #2534986

4 freelancers are bidding on average $709 for this job


hi, i can help.

$1500 USD in 45 days
(4 Reviews)

I can give solution, professions working in image processing field here.

$334 USD in 15 days
(2 Reviews)

I am very familiar with the field of image processing and pattern recognition. Actually my thesis in the school of electrical and computer engineer was related to segmenting hand radiographs and search for points of in More

$750 USD in 20 days
(1 Review)

Hi, I have a handy experience in the field of image processing and computer vision as my thesis "Implementation of Object Based Video Compression Techniques" at IIT DELHI, involved implementation of various feature det More

$250 USD in 10 days
(0 Reviews)