475 citations · 484 across the 8 of their papers we have counts for
9 papers
AGRO: An Autonomous AI Rover for Precision Agriculture
Simar Ghumman, Fabio Di Troia, William Andreopoulos +2
Unmanned Ground Vehicles (UGVs) are emerging as a crucial tool in the world of precision agriculture. The combination of UGVs with machine learning allows us to find solutions for…
Convolutional Neural Networks for Image Spam Detection
Tazmina Sharmin, Fabio Di Troia, Katerina Potika +1
Spam can be defined as unsolicited bulk email. In an effort to evade text-based filters, spammers sometimes embed spam text in an image, which is referred to as image spam. In this…
A Comparison of Static, Dynamic, and Hybrid Analysis for Malware Detection
Anusha Damodaran, Fabio Di Troia, Visaggio Aaron Corrado +2
In this research, we compare malware detection techniques based on static, dynamic, and hybrid analysis. Specifically, we train Hidden Markov Models (HMMs ) on both static and dyna…
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Elliu Huang, Fabio Di Troia, Mark Stamp
Gesture-based authentication has emerged as a non-intrusive, effective means of authenticating users on mobile devices. Typically, such authentication techniques have relied on cla…
Clickbait Detection in YouTube Videos
Ruchira Gothankar, Fabio Di Troia, Mark Stamp
YouTube videos often include captivating descriptions and intriguing thumbnails designed to increase the number of views, and thereby increase the revenue for the person who posted…
Sentiment Analysis for Troll Detection on Weibo
Zidong Jiang, Fabio Di Troia, Mark Stamp
The impact of social media on the modern world is difficult to overstate. Virtually all companies and public figures have social media accounts on popular platforms such as Twitter…
A Comparative Analysis of Android Malware
Neeraj Chavan, Fabio Di Troia, Mark Stamp
In this paper, we present a comparative analysis of benign and malicious Android applications, based on static features. In particular, we focus our attention on the permissions re…
Transfer Learning for Image-Based Malware Classification
Niket Bhodia, Pratikkumar Prajapati, Fabio Di Troia +1
In this paper, we consider the problem of malware detection and classification based on image analysis. We convert executable files to images and apply image recognition using deep…
Malware Detection Using Dynamic Birthmarks
Swapna Vemparala, Fabio Di Troia, Corrado A. Visaggio +2
In this paper, we explore the effectiveness of dynamic analysis techniques for identifying malware, using Hidden Markov Models (HMMs) and Profile Hidden Markov Models (PHMMs), both…