Automatic Malware Analysis

Automatic Malware Analysis
Title Automatic Malware Analysis PDF eBook
Author Heng Yin
Publisher Springer Science & Business Media
Pages 83
Release 2012-09-14
Genre Computers
ISBN 1461455235

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
Title Cuckoo Malware Analysis PDF eBook
Author Digit Oktavianto
Publisher Packt Publishing Ltd
Pages 201
Release 2013-10-16
Genre Computers
ISBN 1782169245

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.

Botnet Detection

Botnet Detection
Title Botnet Detection PDF eBook
Author Wenke Lee
Publisher Springer Science & Business Media
Pages 178
Release 2007-10-23
Genre Computers
ISBN 0387687688

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.

Malware Detection

Malware Detection
Title Malware Detection PDF eBook
Author Mihai Christodorescu
Publisher Springer Science & Business Media
Pages 307
Release 2007-03-06
Genre Computers
ISBN 0387445994

Download Malware Detection Book in PDF, Epub and Kindle

This book captures the state of the art research in the area of malicious code detection, prevention and mitigation. It contains cutting-edge behavior-based techniques to analyze and detect obfuscated malware. The book analyzes current trends in malware activity online, including botnets and malicious code for profit, and it proposes effective models for detection and prevention of attacks using. Furthermore, the book introduces novel techniques for creating services that protect their own integrity and safety, plus the data they manage.

Evaluating Tool Based Automated Malware Analysis Through Persistence Mechanism Detection

Evaluating Tool Based Automated Malware Analysis Through Persistence Mechanism Detection
Title Evaluating Tool Based Automated Malware Analysis Through Persistence Mechanism Detection PDF eBook
Author Matthew S. Webb
Publisher
Pages
Release 2018
Genre
ISBN

Download Evaluating Tool Based Automated Malware Analysis Through Persistence Mechanism Detection Book in PDF, Epub and Kindle

Since 2014 there have been over 120 million new malicious programs registered every year. Due to the amount of new malware appearing every year, analysts have automated large sections of the malware reverse engineering process. Many automated analysis systems are created by re-implementing analysis techniques rather than automating existing tools that utilize the same techniques. New implementations take longer to create and do not have the same proven quality as a tool that evolved alongside malware for many years. The goal of this study is to assess the efficiency and effectiveness of using existing tools for the application of automated malware analysis. This study focuses on the problem of discovering how malware persists on an infected system. Six tools are chosen based on their usefulness in manual analysis for revealing different persistence techniques employed by malware. The functions of these tools are automated in a fashion that emulates how they can be manually utilized, resulting in information about a tested sample. These six tools are tested against a collection of actual malware samples, pulled from malware families that are known for employing various persistence techniques. The findings are then scanned for indicators of persistence. The results of these tests are used to determine the smallest tool subset that discovers the largest range of persistence mechanisms. For each tool, implementation difficulty is compared to the number of indicators discovered to reveal the effectiveness of similar tools for future analysis applications. The conclusion is that while the tools covered a wide range of persistence mechanisms, the standalone tools that were designed with scripting in mind were more effective than those with multiple system requirements or those with only a graphical interface. It was also discovered that the automation process limits functionality of some tools, as they are designed for analyst interaction. Regaining the tools' functionality lost from automation to use them for other reverse engineering applications could be cumbersome and could require necessary implementation overhauls. Finally, the more successful tools were able to detect a broader range of techniques, while some less successful tools could only detect a portion of the same techniques. This study concludes that while an analysis system can be created by automating existing tools, the characteristics of the tools chosen impact the workload required to automate them. A well-documented tool that is controllable through a command line interface that offers many configuration options will require less work for an analyst to automate than a tool with little documentation that can only be controlled through a graphical interface.

International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions

International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions
Title International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions PDF eBook
Author Álvaro Herrero
Publisher Springer Science & Business Media
Pages 557
Release 2012-08-23
Genre Technology & Engineering
ISBN 3642330185

Download International Joint Conference CISIS’12-ICEUTE ́12-SOCO ́12 Special Sessions Book in PDF, Epub and Kindle

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at CISIS 2012 and ICEUTE 2012, both conferences held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. CISIS aims to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is intended to be the catalyst and the aggregation stimulus for the overall event. After a through peer-review process, the CISIS 2012 International Program Committee selected 30 papers which are published in these conference proceedings achieving an acceptance rate of 40%. In the case of ICEUTE 2012, the International Program Committee selected 4 papers which are published in these conference proceedings. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the CISIS and ICEUTE conferences would not exist without their help.

Improving the Effectiveness of Automatic Dynamic Android Malware Analysis

Improving the Effectiveness of Automatic Dynamic Android Malware Analysis
Title Improving the Effectiveness of Automatic Dynamic Android Malware Analysis PDF eBook
Author 沈穎志
Publisher
Pages
Release 2013
Genre
ISBN

Download Improving the Effectiveness of Automatic Dynamic Android Malware Analysis Book in PDF, Epub and Kindle