Categorical Classification and Deletion of Spam Images on Smartphones Using Image Processing and Machine Learning

Submitted by grigby1 on Wed, 09/12/2018 - 10:18am

Title	Categorical Classification and Deletion of Spam Images on Smartphones Using Image Processing and Machine Learning
Publication Type	Conference Paper
Year of Publication	2017
Authors	Sachdeva, A., Kapoor, R., Sharma, A., Mishra, A.
Conference Name	2017 International Conference on Machine Learning and Data Science (MLDS)
Publisher	IEEE
ISBN Number	978-1-5386-3446-2
Keywords	categorical classification, categorical deletion, classification, communication apps, data deletion, Electronic mail, exponential rate, Face, face recognition, Facebook, feature extraction, Histograms, image classification, image processing, learning (artificial intelligence), machine learning, manual deletion, media exchange, mobile computing, mobile device, Optical character recognition software, privacy, pubcrawl, Scalability, smart phones, smartphones, social networking (online), spam images, unsolicited e-mail, whatsapp
Abstract	We regularly use communication apps like Facebook and WhatsApp on our smartphones, and the exchange of media, particularly images, has grown at an exponential rate. There are over 3 billion images shared every day on Whatsapp alone. In such a scenario, the management of images on a mobile device has become highly inefficient, and this leads to problems like low storage, manual deletion of images, disorganization etc. In this paper, we present a solution to tackle these issues by automatically classifying every image on a smartphone into a set of predefined categories, thereby segregating spam images from them, allowing the user to delete them seamlessly.
URL	https://ieeexplore.ieee.org/document/8320254/
DOI	10.1109/MLDS.2017.10
Citation Key	sachdeva_categorical_2017

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Science of Security VO