Learning Malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows malware

Learning Malware analysis : explore the concepts, tools, and techniques to analyze and investigate Windows malware

Enregistré dans:

Détails bibliographiques
Auteur principal:	Monnappa, K.A.. (Auteur)
Support:	E-Book
Langue:	Anglais
Publié:	Birmingham : Packt Publishing, 2018.
Autres localisations:	Voir dans le Sudoc
Accès en ligne:	Accès à l'E-book

Documents similaires

Windows Malware Analysis Essentials
par: Marak, Victor.
Publié: (2015)

Cuckoo malware analysis
par: Oktavianto, Digit.
Publié: (2013)

Malware Analysis Techniques : Tricks for the triage of adversarial software
par: Barker, Dylan.
Publié: (2021)

Malware Science : A comprehensive guide to detection, analysis, and compliance
par: Molinari, Shane.

Malware Development for Ethical Hackers : Learn how to develop various types of malware to strengthen cybersecurity
par: Zhussupov, Zhassulan.

Malware diffusion models for modern complex networks : theory and applications
par: Karyotis, Vasileios.
Publié: (2016)

Virus et malwares, les nouvelles armes du crime
par: Moix, Alexandre.
Publié: (2018)

Ethical Hacking and Network Analysis with Wireshark : Exploration of network packets for detecting exploits and malware
par: Sharma, Manish.

Cybersecurity Threats, Malware Trends, and Strategies : Discover risk mitigation strategies for modern threats to your organization
par: Rains, Tim.

Machine Learning for Emotion Analysis in Python : Build AI-powered tools for analyzing emotion using natural language processing and machine learning
par: Ramsay, Allan.

Learning network forensics : identify and safeguard your network against both internal and external threats, hackers, and malware attacks.
par: Datt, Samir.
Publié: (2016)

Learning Android forensics : analyze Android devices with the latest forensic tools and techniques
par: Skulkin, Oleg.
Publié: (2018)

Learning Geospatial Analysis with Python : Unleash the power of Python 3 with practical techniques for learning GIS and remote sensing
par: Lawhead, Joel.

Learning R for geospatial analysis
par: Dorman, Michael (19..-....; programmateur).
Publié: (2014)

Learning Linux binary analysis
par: O'Neill, Ryan.
Publié: (2016)

Learning Geospatial Analysis with Python
par: Lawhead, Joel.
Publié: (2013)

Learn Emotion Analysis with R : Perform Sentiment Assessments, Extract Emotions, and Learn NLP Techniques Using R and Shiny
par: Majumdar, Partha.

Intelligent data analysis for e-Learning : enhancing security and trustworthiness in online learning systems
par: Miguel, Jorge.
Publié: (2016)

Statistical and Machine Learning Approaches for Network Analysis
par: Dehmer, Matthias (1968-....).
Publié: (2012)

Targeted Cyber Attacks Multi-staged Attacks Driven by Exploits and Malware
par: Sood, Aditya.
Publié: (2014)

Machine Learning and Deep Learning Algorithms : Tools and Techniques Using MATLAB and Python
par: Kumar Pandey, Abhishek.

Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
par: Shukla, Nishant.
Publié: (2014)

Applied regression analysis : a research tool
par: Rawlings, John O., 1932-
Publié: (1998)

Biomedical texture analysis : fundamentals, tools and challenges
Publié: (2017)

Mathematica Data Analysis : learn and explore the fundamentals of data anlysis with the power of Mathematica
par: Suchok, Sergiy.
Publié: (2015)

Machine learning in bio-signal analysis and diagnostic imaging
par: Dey, Nilanjan (1984-....).
Publié: (2018)

Practical machine learning for data analysis using Python
par: Subasi, Abdulhamit (19..-....).
Publié: (2020)

Binary Analysis Cookbook : Actionable recipes for disassembling and analyzing binaries for security risks
par: Born, Michael.
Publié: (2019)

Hands-On Exploratory Data Analysis with Python : Perform EDA techniques to understand, summarize, and investigate your data
par: Mukhiya, Suresh Kumar.
Publié: (2020)

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques : A MATLAB Based Approach
par: Subasi, Abdulhamit.
Publié: (2019)

Data analysis with R : a comprehensive guide to manipulating, analyzing, and visualizing data in R
par: Fischetti, Tony.
Publié: (2018)

The real analysis lifesaver : all the tools you need to understand proofs
par: Grinberg, Raffi.
Publié: (2017)

Excel data analysis : your visual blueprint for creating and analyzing data, charts and PivotTables
par: Etheridge, Denise.
Publié: (2010)

Investment analysis and portfolio management
par: Reilly, Frank K.
Publié: (2006)

On learning techniques in engineering cybernetic systems
par: Sun Fu, K.
Publié: (1967)

Learning ArcGIS Pro : create, analyze, maintain, and share 2D and 3D maps with the powerful tools of ArcGIS Pro
par: Corbin, Tripp.
Publié: (2015)

Learning Selenium testing tools
par: Mg, Raghavendra Prasad.
Publié: (2015)

Statistical analysis of stochastic processes in time
par: Lindsey, James K.
Publié: (2004)

Learning Puppet for Windows Server
par: Ulugay, Fuat.
Publié: (2015)

Learning Windows Server containers
par: Machiraju, Srikanth.
Publié: (2017)

Université catholique de l'Ouest - Bibliothèques - 3 place André Leroy - BP10808 - 49008 ANGERS Cedex 1