475 citations · 584 across the 7 of their papers we have counts for
7 papers
Identifying and Characterizing Semantic Clones of Solidity Functions
Ermanno Francesco Sannini, Francesco Salzano, Simone Scalabrino +4
Smart Contracts are essential blockchain components, mainly written in Solidity. The high availability of public Solidity code leads to frequent reuse and high clone ratios. Since…
Discerning Reliable Cyber Threat Indicators for Timely Cyber Threat Intelligence
Dincy R Arikkat, Vinod P., Rafidha Rehiman K. A. +3
In today's dynamic cybersecurity landscape, timely and accurate threat intelligence is essential for proactive defense. This study explores the potential of social media platforms…
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…
GANG-MAM: GAN based enGine for Modifying Android Malware
Renjith G, Sonia Laudanna, Aji S +2
Malware detectors based on machine learning are vulnerable to adversarial attacks. Generative Adversarial Networks (GAN) are architectures based on Neural Networks that could produ…
Profiling Gas Consumption in Solidity Smart Contracts
Andrea Di Sorbo, Sonia Laudanna, Anna Vacca +2
Nowadays, more and more applications are developed for running on a distributed ledger technology, namely dApps. The business logic of dApps is usually implemented within smart con…
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…