5 papers
A Unified Evaluation of Learning-Based Similarity Techniques for Malware Detection
Udbhav Prasad, Aniesh Chawla
Cryptographic digests (e.g., MD5, SHA-256) are designed to provide exact identity. Any single-bit change in the input produces a completely different hash, which is ideal for integ…
A Decompilation-Driven Framework for Malware Detection with Large Language Models
Aniesh Chawla, Udbhav Prasad
The parallel evolution of Large Language Models (LLMs) with advanced code-understanding capabilities and the increasing sophistication of malware presents a new frontier for cybers…
Proactively Detecting Threats: A Novel Approach Using LLMs
Aniesh Chawla, Udbhav Prasad
Enterprise security faces escalating threats from sophisticated malware, compounded by expanding digital operations. This paper presents the first systematic evaluation of large la…
Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages
Ryan Dailey, Aniesh Chawla, Andrew Liu +5
Reduction in the cost of Network Cameras along with a rise in connectivity enables entities all around the world to deploy vast arrays of camera networks. Network cameras offer rea…
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response
Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang +7
Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster s…