Malware Analysis Using Artificial Intelligence and Deep Learning
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(FIVE YEARS 25)

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Published By Springer International Publishing

9783030625818, 9783030625825

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Image Spam Classification with Deep Neural Networks

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_24 ◽

2020 ◽

pp. 605-631

Author(s):

Ajay Pal Singh ◽

Katerina Potika

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Image Spam

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A Comparative Study of Adversarial Attacks to Malware Detectors Based on Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_19 ◽

2020 ◽

pp. 477-511

Author(s):

Corrado Aaron Visaggio ◽

Fiammetta Marulli ◽

Sonia Laudanna ◽

Benedetta La Zazzera ◽

Antonio Pirozzi

Keyword(s):

Deep Learning ◽

Comparative Study

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Fast and Straightforward Feature Selection Method

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_18 ◽

2020 ◽

pp. 455-476

Author(s):

Sergii Banin

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method

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Deep Learning Techniques for Behavioral Malware Analysis in Cloud IaaS

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_10 ◽

2020 ◽

pp. 269-285

Author(s):

Andrew McDole ◽

Maanak Gupta ◽

Mahmoud Abdelsalam ◽

Sudip Mittal ◽

Mamoun Alazab

Keyword(s):

Deep Learning ◽

Malware Analysis ◽

Learning Techniques

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A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_1 ◽

2020 ◽

pp. 3-51

Author(s):

Mark Stamp

Keyword(s):

Deep Learning ◽

Malware Analysis ◽

Learning Techniques

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Addressing Malware Attacks on Connected and Autonomous Vehicles: Recent Techniques and Challenges

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_4 ◽

2020 ◽

pp. 97-119

Author(s):

Aiman Al-Sabaawi ◽

Khamael Al-Dulaimi ◽

Ernest Foo ◽

Mamoun Alazab

Keyword(s):

Autonomous Vehicles

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Log-Based Malicious Activity Detection Using Machine and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_23 ◽

2020 ◽

pp. 581-604

Author(s):

Katarzyna A. Tarnowska ◽

Araav Patel

Keyword(s):

Deep Learning ◽

Activity Detection ◽

Malicious Activity

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A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_17 ◽

2020 ◽

pp. 437-453

Author(s):

Andrii Shalaginov ◽

Lasse Øverlier

Keyword(s):

Neural Networks ◽

Deep Neural Networks

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Universal Adversarial Perturbations and Image Spam Classifiers

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_25 ◽

2020 ◽

pp. 633-651

Author(s):

Andy Phung ◽

Mark Stamp

Keyword(s):

Image Spam

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Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families

Malware Analysis Using Artificial Intelligence and Deep Learning ◽

10.1007/978-3-030-62582-5_15 ◽

2020 ◽

pp. 381-409

Author(s):

Azqa Nadeem ◽

Christian Hammerschmidt ◽

Carlos H. Gañán ◽

Sicco Verwer

Keyword(s):

Behavioral Profiles

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Malware Analysis Using Artificial Intelligence and Deep LearningLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Image Spam Classification with Deep Neural Networks

A Comparative Study of Adversarial Attacks to Malware Detectors Based on Deep Learning

Fast and Straightforward Feature Selection Method

Deep Learning Techniques for Behavioral Malware Analysis in Cloud IaaS

A Selective Survey of Deep Learning Techniques and Their Application to Malware Analysis

Addressing Malware Attacks on Connected and Autonomous Vehicles: Recent Techniques and Challenges

Log-Based Malicious Activity Detection Using Machine and Deep Learning

A Novel Study on Multinomial Classification of x86/x64 Linux ELF Malware Types and Families Through Deep Neural Networks

Universal Adversarial Perturbations and Image Spam Classifiers

Beyond Labeling: Using Clustering to Build Network Behavioral Profiles of Malware Families

Malware Analysis Using Artificial Intelligence and Deep Learning
Latest Publications