Automatic Malware Analysis

Automatic Malware Analysis
Author: Heng Yin,Dawn Song
Publsiher: Springer Science & Business Media
Total Pages: 73
Release: 2012-09-14
Genre: Computers
ISBN: 9781461455233

Download Automatic Malware Analysis Book in PDF, Epub and Kindle

Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

Automatic Malware Analysis

Automatic Malware Analysis
Author: Heng Yin,Dawn Song
Publsiher: Springer Science & Business Media
Total Pages: 83
Release: 2012-09-14
Genre: Computers
ISBN: 9781461455226

Download Automatic Malware Analysis Book in PDF, Epub and Kindle

Malicious software (i.e., malware) has become a severe threat to interconnected computer systems for decades and has caused billions of dollars damages each year. A large volume of new malware samples are discovered daily. Even worse, malware is rapidly evolving becoming more sophisticated and evasive to strike against current malware analysis and defense systems. Automatic Malware Analysis presents a virtualized malware analysis framework that addresses common challenges in malware analysis. In regards to this new analysis framework, a series of analysis techniques for automatic malware analysis is developed. These techniques capture intrinsic characteristics of malware, and are well suited for dealing with new malware samples and attack mechanisms.

Cuckoo Malware Analysis

Cuckoo Malware Analysis
Author: Digit Oktavianto,Iqbal Muhardianto
Publsiher: Packt Publishing Ltd
Total Pages: 142
Release: 2013-10-16
Genre: Computers
ISBN: 9781782169246

Download Cuckoo Malware Analysis Book in PDF, Epub and Kindle

This book is a step-by-step, practical tutorial for analyzing and detecting malware and performing digital investigations. This book features clear and concise guidance in an easily accessible format.Cuckoo Malware Analysis is great for anyone who wants to analyze malware through programming, networking, disassembling, forensics, and virtualization. Whether you are new to malware analysis or have some experience, this book will help you get started with Cuckoo Sandbox so you can start analysing malware effectively and efficiently.

Malware Analysis Techniques

Malware Analysis Techniques
Author: Dylan Barker
Publsiher: Packt Publishing Ltd
Total Pages: 282
Release: 2021-06-18
Genre: Computers
ISBN: 9781839210068

Download Malware Analysis Techniques Book in PDF, Epub and Kindle

Analyze malicious samples, write reports, and use industry-standard methodologies to confidently triage and analyze adversarial software and malware Key FeaturesInvestigate, detect, and respond to various types of malware threatUnderstand how to use what you've learned as an analyst to produce actionable IOCs and reportingExplore complete solutions, detailed walkthroughs, and case studies of real-world malware samplesBook Description Malicious software poses a threat to every enterprise globally. Its growth is costing businesses millions of dollars due to currency theft as a result of ransomware and lost productivity. With this book, you'll learn how to quickly triage, identify, attribute, and remediate threats using proven analysis techniques. Malware Analysis Techniques begins with an overview of the nature of malware, the current threat landscape, and its impact on businesses. Once you've covered the basics of malware, you'll move on to discover more about the technical nature of malicious software, including static characteristics and dynamic attack methods within the MITRE ATT&CK framework. You'll also find out how to perform practical malware analysis by applying all that you've learned to attribute the malware to a specific threat and weaponize the adversary's indicators of compromise (IOCs) and methodology against them to prevent them from attacking. Finally, you'll get to grips with common tooling utilized by professional malware analysts and understand the basics of reverse engineering with the NSA's Ghidra platform. By the end of this malware analysis book, you'll be able to perform in-depth static and dynamic analysis and automate key tasks for improved defense against attacks. What you will learnDiscover how to maintain a safe analysis environment for malware samplesGet to grips with static and dynamic analysis techniques for collecting IOCsReverse-engineer and debug malware to understand its purposeDevelop a well-polished workflow for malware analysisUnderstand when and where to implement automation to react quickly to threatsPerform malware analysis tasks such as code analysis and API inspectionWho this book is for This book is for incident response professionals, malware analysts, and researchers who want to sharpen their skillset or are looking for a reference for common static and dynamic analysis techniques. Beginners will also find this book useful to get started with learning about malware analysis. Basic knowledge of command-line interfaces, familiarity with Windows and Unix-like filesystems and registries, and experience in scripting languages such as PowerShell, Python, or Ruby will assist with understanding the concepts covered.

Malware Analysis Using Artificial Intelligence and Deep Learning

Malware Analysis Using Artificial Intelligence and Deep Learning
Author: Mark Stamp,Mamoun Alazab,Andrii Shalaginov
Publsiher: Springer Nature
Total Pages: 651
Release: 2020-12-20
Genre: Computers
ISBN: 9783030625825

Download Malware Analysis Using Artificial Intelligence and Deep Learning Book in PDF, Epub and Kindle

​This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Convergence and Hybrid Information Technology

Convergence and Hybrid Information Technology
Author: Geuk Lee,Daniel Howard,Dominik Ślęzak
Publsiher: Springer
Total Pages: 679
Release: 2011-09-22
Genre: Computers
ISBN: 9783642241062

Download Convergence and Hybrid Information Technology Book in PDF, Epub and Kindle

This book constitutes the refereed proceedings of the 5th International Conference on Convergence and Hybrid Information Technology, ICHIT 2011, held in Daejeon, Korea, in September 2011. The 85 revised full papers presented were carefully reviewed and selected from 144 submissions. The papers are organized in topical sections on communications and networking; motion, video, image processing; security systems; cloud, RFID and robotics; industrial application of software systems; hardware and software engineering; healthcare, EEG and e-learning; HCI and data mining; software system and its applications.

Malware Detection

Malware Detection
Author: Priyanka Nandal
Publsiher: diplom.de
Total Pages: 69
Release: 2017-11-21
Genre: Computers
ISBN: 9783960677086

Download Malware Detection Book in PDF, Epub and Kindle

In the present work the behavior of malicious software is studied, the security challenges are understood, and an attempt is made to detect the malware behavior automatically using dynamic approach. Various classification techniques are studied. Malwares are then grouped according to these techniques and malware with unknown characteristics are clustered into an unknown group. The classifiers used in this research are k-Nearest Neighbors (kNN), J48 Decision Tree, and n-grams.

Botnet Detection

Botnet Detection
Author: Wenke Lee,Cliff Wang,David Dagon
Publsiher: Springer Science & Business Media
Total Pages: 168
Release: 2007-10-23
Genre: Computers
ISBN: 9780387687681

Download Botnet Detection Book in PDF, Epub and Kindle

Botnets have become the platform of choice for launching attacks and committing fraud on the Internet. A better understanding of Botnets will help to coordinate and develop new technologies to counter this serious security threat. Botnet Detection: Countering the Largest Security Threat consists of chapters contributed by world-class leaders in this field, from the June 2006 ARO workshop on Botnets. This edited volume represents the state-of-the-art in research on Botnets.