UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Information fusion in content based image retrieval: A comprehensive overview

Information fusion, 2017-09, Vol.37, p.50-60

2017

Volltextzugriff (PDF)

PowerDrive: Accurate De-obfuscation and Analysis of PowerShell Malware

Detection of Intrusions and Malware, and Vulnerability Assessment, p.240-259

Volltextzugriff (PDF)

Special Issue “AI for Cybersecurity: Robust Models for Authentication, Threat and Anomaly Detection”

Algorithms, 2023-07, Vol.16 (7), p.327

2023

Volltextzugriff (PDF)

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks

Multiple Classifier Systems, p.350-359

Volltextzugriff (PDF)

Detection of Intrusions and Malware, and Vulnerability Assessment: 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 -July 1, 2022, Proceedings

1, 2022

Volltextzugriff (PDF)

Oblivion: an open-source system for large-scale analysis of macro-based office malware

Journal of Computer Virology and Hacking Techniques, 2024-07, Vol.20 (4), p.783-802

2024

Volltextzugriff (PDF)

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

Information fusion, 2008, Vol.9 (1), p.69-82

2008

Volltextzugriff (PDF)

Convolutional neural networks for relevance feedback in content based image retrieval

Multimedia tools and applications, 2020-10, Vol.79 (37-38), p.26995-27021

2020

Volltextzugriff (PDF)

Design of effective neural network ensembles for image classification purposes

Image and vision computing, 2001-08, Vol.19 (9), p.699-707

2001

Volltextzugriff (PDF)

On the Feasibility of Adversarial Sample Creation Using the Android System API

Information (Basel), 2020-09, Vol.11 (9), p.433

2020

Volltextzugriff (PDF)

DLLMiner: structural mining for malware detection

Security and communication networks, 2015-12, Vol.8 (18), p.3311-3322

2015

Volltextzugriff (PDF)

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

ACM computing surveys, 2020-07, Vol.52 (4), p.1-36

2020

Volltextzugriff (PDF)

AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection

2023

Volltextzugriff (PDF)

Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

Information sciences, 2013-08, Vol.239, p.201-225

2013

Volltextzugriff (PDF)

Detection of Intrusions and Malware, and Vulnerability Assessment: 16th International Conference, DIMVA 2019, Gothenburg, Sweden, June 19-20, 2019, Proceedings

1st Edition 2019, 2019

Volltextzugriff (PDF)

Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback

Multimedia tools and applications, 2020-10, Vol.79 (37-38), p.26995-27021

2020

Volltextzugriff (PDF)

Stealth attacks: An extended insight into the obfuscation effects on Android malware

Computers & security, 2015-06, Vol.51, p.16-31

2015

Volltextzugriff (PDF)

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Detection of Intrusions and Malware, and Vulnerability Assessment, p.309-329

Volltextzugriff (PDF)

Detection of Intrusions and Malware, and Vulnerability Assessment: 16th International Conference, DIMVA 2019, Gothenburg, Sweden, June 19–20, 2019, Proceedings

Volltextzugriff (PDF)

Practical Enclave Malware with Intel SGX

Detection of Intrusions and Malware, and Vulnerability Assessment, p.177-196

Volltextzugriff (PDF)

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

IEEE transactions on dependable and secure computing, 2019-07, Vol.16 (4), p.711-724

2019

Volltextzugriff (PDF)

New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild

Detection of Intrusions and Malware, and Vulnerability Assessment, p.23-42

Volltextzugriff (PDF)

On the effectiveness of system API-related information for Android ransomware detection

Computers & security, 2019-09, Vol.86, p.168-182

2019

Volltextzugriff (PDF)

HMMPayl: An intrusion detection system based on Hidden Markov Models

Computers & security, 2011-06, Vol.30 (4), p.221-241

2011

Volltextzugriff (PDF)

McPAD: A multiple classifier system for accurate payload-based anomaly detection

Computer networks (Amsterdam, Netherlands : 1999), 2009-04, Vol.53 (6), p.864-881

2009

Volltextzugriff (PDF)

1 – 25 von 252

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(163)
Mit Volltextzugriff
(228)

Publikationsform

Sprache

Englisch
(251)
Italienisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(154)
Technology
(118)
Computer Science
(113)
Computer Science, Theory & Methods
(66)
Computer Science, Artificial Intelligence
(40)
Computer Science, Information Systems
(35)
Life Sciences & Biomedicine
(35)
Computer Science, Software Engineering
(33)
Engineering
(24)
Engineering, Electrical & Electronic
(23)
Artificial Intelligence
(21)
Exact Sciences And Technology
(20)
Malware
(20)
Applied Sciences
(19)
Computer Science; Control Theory; Systems
(18)
Machine Learning
(18)
Computer Security
(17)
Humans
(17)
Algorithms
(13)
Cybersecurity
(11)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 90 Tagen
(1)

Menü

Weitere Dienste

Einstellungen

Information fusion in content based image retrieval: A comprehensive overview

PowerDrive: Accurate De-obfuscation and Analysis of PowerShell Malware

Special Issue “AI for Cybersecurity: Robust Models for Authentication, Threat and Anomaly Detection”

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks

Detection of Intrusions and Malware, and Vulnerability Assessment: 19th International Conference, DIMVA 2022, Cagliari, Italy, June 29 -July 1, 2022, Proceedings

Oblivion: an open-source system for large-scale analysis of macro-based office malware

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

Convolutional neural networks for relevance feedback in content based image retrieval

Design of effective neural network ensembles for image classification purposes

On the Feasibility of Adversarial Sample Creation Using the Android System API

DLLMiner: structural mining for malware detection

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks

AI for Cybersecurity: Robust models for Authentication, Threat and Anomaly Detection

Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

Detection of Intrusions and Malware, and Vulnerability Assessment: 16th International Conference, DIMVA 2019, Gothenburg, Sweden, June 19-20, 2019, Proceedings

Convolutional neural networks for relevance feedback in content based image retrieval: A Content based image retrieval system that exploits convolutional neural networks both for feature extraction and for relevance feedback

Stealth attacks: An extended insight into the obfuscation effects on Android malware

SAFE: Self-Attentive Function Embeddings for Binary Similarity

Detection of Intrusions and Malware, and Vulnerability Assessment: 16th International Conference, DIMVA 2019, Gothenburg, Sweden, June 19–20, 2019, Proceedings

Practical Enclave Malware with Intel SGX

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

New Kid on the Web: A Study on the Prevalence of WebAssembly in the Wild

On the effectiveness of system API-related information for Android ransomware detection

HMMPayl: An intrusion detection system based on Hidden Markov Models

McPAD: A multiple classifier system for accurate payload-based anomaly detection

Suchergebnisse filtern