Article

Detection of Attacks with An Adversarial Machine Learning Approach

2024-04-23

Abstract excerpt

<title>Abstract</title> <p>Machine learning methods are widely used in various domains, and the analysis of attacks is no exception. Various types of attacks occur daily. Therefore, examining each of them by human experts is becoming increasingly difficult due to the limited number of experts compared to the increasing number of attacks and the possibility of human error in detecting attacks, making it a tedious...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3b6c6f0d-ea0c-53f8-bc59-e556c7503667
DOI: 10.21203/rs.3.rs-4096674/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Detection of Attacks with An Adversarial Machine Learning ApproachDOI 10.21203/rs.3.rs-4096674/v1Read

Functionality-preserving Adversarial Machine Learning For Robust Classification In Cybersecurity And Intrusion Detection Domains: A SurveySemantic proximity Read

How Adversarial attacks affect Deep Neural Networks Detecting COVID-19?Semantic proximity Read

Transient Deception: Recent Advances and Trends in Short-Lived Adversarial ExamplesSemantic proximity Read

Beyond AI: Fooling DNN Model in Physical WorldSemantic proximity Read

Towards securing the edge devices using Lightweight A3E : Apposite Adversarial AutoencoderSemantic proximity Read

An NTD supersite of attackSemantic proximity Read

Structural Leakage in Host Intrusion Alert Corpora: An Evaluation Framework for ATT&CK Technique and Tactic MappingSemantic proximity Read

Optimally Configured Generative Adversarial Networks to Distinguish Real and AI- Generated Human FacesSemantic proximity Read

A Hybrid Explainable AI Framework for Cyber Threat Detection and ResponseSemantic proximity Read

Detecting fake accounts through Generative adversarial network in online social mediaSemantic proximity Read

Bridging the Gap: Advancing the Transparency and Trustworthiness of Network Intrusion Detection with Explainable AISemantic proximity Read

Image Synthesis-based Backdoor Attack Approach in the Face Classification TaskSemantic proximity Read