Malware analyst's cookbook and DVD : tools and techniques for fighting malicious code /

Malware analyst's cookbook and DVD : tools and techniques for fighting malicious code /

PSZJBL

Detalles Bibliográficos
Autor principal:	Ligh, Michael Hale
Formato:
Lenguaje:	eng
Publicado:	Indianapolis, IN : Wiley, c201
Materias:	Malware (Computer software) Computer security

Ejemplares similares

Malware analyst's cookbook and DVD [electronic resource] : tools and techniques for fighting malicious code /
por: Ligh, Michael Hale
Publicado: (c201)

Mastering Malware Analysis : A malware analyst's practical guide to combating malicious software, APT, cybercrime, and IoT attacks /
por: Kleymenov, Alexey, author, et al.
Publicado: (2022)

The art of memory forensics : detecting malware and threats in Windows, Linux, and Mac memory /
por: Ligh, Michael Hale, author, et al.
Publicado: (2014)

Malware Analysis Techniques: Tricks for the triage of adversarial software /
por: Barker, Dylan, author
Publicado: (2021)

AN IMPROVED MALWARE DETECTION FRAMEWORK /
por: Ahmad Naim Irfan Asmawi Fadillah, author 654415, et al.
Publicado: (2020)

AN IMPROVED MALWARE DETECTION FRAMEWORK /
por: Ahmad Naim Irfan Asmawi Fadillah, author 654415, et al.
Publicado: (2020)

Malware, rootkits & botnets : a beginner's guide /
por: Elisan, Christopher C. QA76.76.C68
Publicado: (2013)

Operating system kernel malware characterization using data-centric approach
por: Mohamad Har, Harmi Armira
Publicado: (2018)

Advances in detection and analysis of modern evasive malware
por: Barr-Smith, F
Publicado: (2023)

Supervised machine learning approach for detection of malicious executables /
por: Yahye Abukar Ahmed, 1986-, et al.
Publicado: (2013)

Supervised machine learning approach for detection of malicious executables [electronic resource] /
por: Yahye Abukar Ahmed, 1986-
Publicado: (2013)

A MALICIOUS URL DETECTION FRAMEWORK USING PRIORITY COEFFICIENT AND FEATURE EVALUATION /
por: Ahmad Sahban Rafsanjani, author 601607, et al.
Publicado: (2023)

Machine learning approach to malware classifications / detection /
por: Fadzlie Aimi Mohd. Zain, 1986-, et al.
Publicado: (2011)

Malware behaviour profiling from unstructured data /
por: Chiam, Yoong Jien, 1994-, author, et al.
Publicado: (2019)

Malware behaviour profiling from unstructured data /
por: Chiam, Yoong Jien, 1994-, author, et al.
Publicado: (2019)

The threat of screenshot-taking malware: analysis, detection and prevention
por: Sbai, H
Publicado: (2022)

Hardware implementation of naive bayes classifier for malware detection /
por: Al Hussein,Yahya Khaled 1999-, author 646104, et al.
Publicado: (2021)

Hardware implementation of naive bayes classifier for malware detection /
por: Al Hussein,Yahya Khaled 1999-, author 646104
Publicado: (2021)

String-based representation techniques for malware detection model
por: Mohammed, Gamal Abdel Nassir Awad Ali
Publicado: (2024)

Cybersecurity Threats, Malware Trends, and Strategies : Discover risk mitigation strategies for modern threats to your organization /
por: Rains, Tim, author 656361, et al.
Publicado: (2023)

Machine learning approach to malware classifications / detection [electronic resource] /
por: Fadzlie Aimi Mohd. Zain, 1986-, et al.
Publicado: (2011)

A behaviour-based analytical malware detection framework for android smartphones
por: Damshenas, Mohsen
Publicado: (2014)

A MALICIOUS URL DETECTION FRAMEWORK USING PRIORITY COEFFICIENT AND FEATURE EVALUATION /
por: Ahmad Sahban Rafsanjani, author 601607, et al.
Publicado: (2023)

Exploiting tactics, techniques, and procedures for malware detection
por: Sharma, Y
Publicado: (2023)

Android malware detection with ensemble of androidmanifest features
por: Mohammad Salehi, .
Publicado: (2019)

Naive bayes classification with domain knowledge for new malware variants and stateless packet level detection /
por: Ismahani Ismail, 1980-, author 557878, et al.
Publicado: (2013)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification /
por: Howida Abubaker Al-Kaaf, 1980- author 646298, et al.
Publicado: (2022)

Integrated information gain with extra tree algorithm for feature permission analysis in android malware classification
por: Al-Kaaf, Howida AbuBaker
Publicado: (2023)

A dynamic malware detection in cloud platform
por: Lee, Nani Yer Fui
Publicado: (2019)

Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
por: Abdul Razak, Aina Nabila
Publicado: (2019)

Malware forensics : investigating and analyzing malicious code /
por: 306412 Aquilina, James M., et al.
Publicado: (2008)

Design of cloud-enabled cross-platform malware analysis systems
por: Najafabadi, Seyed Abdolrahman Mousavian
Publicado: (2016)

Malware forensic field guide for windows systems : digital forensics field guides /
por: 196891 Malin, Cameron H., et al.
Publicado: (2011)

Behaviour analysis and development of the detection algorithm and application prototype to detect the presence of the premium short message service(SMS) abusers malware on the android platform /
por: Syed Mohd Hazrul Syed Salim, et al.
Publicado: (2013)

Malware forensics field guide for Linux systems : digital forensics field guides /
por: 196891 Malin, Cameron H., et al.
Publicado: (2014)

Permission extraction framework for android malware detection
por: Ghasempour, Ali
Publicado: (2019)

FEATURE SELECTIION TECHNIQUE FOR ANDROID MALWARE CLASSIFICATION ON DATA SECTION IMAGE PATTERN /
por: Fauzi Mohd Darus, author 277767, et al.
Publicado: (2022)

FEATURE SELECTIION TECHNIQUE FOR ANDROID MALWARE CLASSIFICATION ON DATA SECTION IMAGE PATTERN /
por: Fauzi Mohd Darus, author 277767, et al.
Publicado: (2022)

Improving malicious detection rate for Facebook application in OSN platform
por: Angamuthu, Laavanya
Publicado: (2018)

An anti-malvertising model for university students to increase security awareness /
por: Noorlaily Izwana Ibrahim, et al.
Publicado: (2012)