Adversarial Binaries: AI-guided Instrumentation Methods for Malware Detection Evasion
Adversarial binaries are executable files that have been altered without loss of function by
an AI agent in order to deceive malware detection systems. Progress in this emergent vein of …
an AI agent in order to deceive malware detection systems. Progress in this emergent vein of …
Magika: AI-Powered Content-Type Detection
The task of content-type detection--which entails identifying the data encoded in an arbitrary
byte sequence--is critical for operating systems, development, reverse engineering …
byte sequence--is critical for operating systems, development, reverse engineering …
The Current State of Research on Malware Written in the Rust Programming Language
Malware is conventionally written in the C/C++ programming languages. However, a recent
trend has been observed where other languages are being used to write malware. One such …
trend has been observed where other languages are being used to write malware. One such …
PolyDoc: Surveying PDF Files from the PolySwarm network
P Anantharaman, R Lathrop, R Shapiro… - 2023 IEEE Security …, 2023 - ieeexplore.ieee.org
Complex data formats implicitly demand complex logic to parse and apprehend them. The
Portable Document Format (PDF) is among the most demanding formats because it is used …
Portable Document Format (PDF) is among the most demanding formats because it is used …
AI ATAC 1: An Evaluation of Prominent Commercial Malware Detectors
This work presents an evaluation of six prominent commercial endpoint malware detectors,
a network malware detector, and a file-conviction algorithm from a cyber technology vendor …
a network malware detector, and a file-conviction algorithm from a cyber technology vendor …
[КНИГА][B] A Comparative Analysis of Malware Written in the C and Rust Programming Languages
MK Praveen - 2023 - search.proquest.com
The use of malware as a tool for cybercrime has become increasingly prevalent in recent
years, resulting in significant economic losses and security threats. Conventionally, malware …
years, resulting in significant economic losses and security threats. Conventionally, malware …
Evading Antivirus Detection by Abusing File Type Identification
C Udomwongsa - 2024 - digitalcommons.dartmouth.edu
File type identification is a vital step in automated file processing, especially in the realm of
malware detection. The challenges with file type identification and evasion techniques that …
malware detection. The challenges with file type identification and evasion techniques that …
Detection and Classification of Polyglot Files Using Machine Learning
MA Adkisson - 2022 - search.proquest.com
Polyglots, files that are valid as more than one type, are a relatively new threat to
cybersecurity. They pose a threat because they often go undetected by existing file type …
cybersecurity. They pose a threat because they often go undetected by existing file type …