Android Malware And Analysis

Autore: Ken Dunham
Editore: CRC Press
ISBN: 1482252201
Grandezza: 49,36 MB
Formato: PDF, Kindle
Vista: 4987
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The rapid growth and development of Android-based devices has resulted in a wealth of sensitive information on mobile devices that offer minimal malware protection. This has created an immediate need for security professionals that understand how to best approach the subject of Android malware threats and analysis.In Android Malware and Analysis, K

Learning Android Malware Analysis

Autore:
Editore:
ISBN:
Grandezza: 38,18 MB
Formato: PDF, Docs
Vista: 9516
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In response to the exponential growth of mobile device use, malicious apps have increased. Yet the industry is lacking professionals capable of identifying and combating these threats. Adding malware analysis to your skill set can help set you apart to employers and clients-and help you keep your users and organization safe. Security intelligence engineer Kristina Balaam introduces the basic tools and techniques needed to detect and dissect malicious Android apps. Learn how to set up your analysis lab, with tools like APKTool, Dex2Jar, and JD-Project, and find malicious apps to deconstruct. Kristina shows how to search the codebase for indicators of malicious activity, and provides a challenge and solution set that allows you to practice your new skills.

Tweet Analysis For Android Malware Detection In Google Play Store

Autore: Zhiang Fan
Editore:
ISBN:
Grandezza: 65,34 MB
Formato: PDF, Kindle
Vista: 5650
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There are many approaches to detect if an app is malware or benign, for example, using static or dynamic analysis. Static analysis can be used to look for APIs that are indicative of malware. Alternatively, emulating the app's behavior using dynamic analysis can also help in detecting malware. Each type of approach has advantages and disadvantages. To complement existing approaches, in this report, I studied the use of Twitter data to identify malware. The dataset that I used consists of a large set of Android apps made available by AndroZoo. For each app, AndroZoo provides information on vt detection, which records number of anti-virus programs in VirusTotal that label the app as malware. As an additional source of information about apps, I crawled a large set of tweets and analyzed them to identify patterns of malware and benign apps in Twitter. Tweets were crawled based on keywords related to Google Play Store app links. A Google Play Store app link contains the corresponding app's ID, which makes it easy to link tweets to apps. Certain fields of the tweets were analyzed by comparing patterns in malware versus benign apps, with the goal of identifying fields that are indicative of malware behavior. The classification label from AndroZoo was considered as ground truth.

Analysis Of Mobile Banking Malware On The Android Operating System

Autore: Dan Xu
Editore:
ISBN:
Grandezza: 44,35 MB
Formato: PDF, Mobi
Vista: 3268
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"The Android platform is the fastest growing smartphone operating system to date. Consequently, malware on Android OS has been increasing at an alarming rate. Similar to Windows-based malware, Android malware also have different families which are responsible for different malicious activities. In this thesis, we focused on one particular group of Android malware which is designed to target banks and financial institutions. These banking malware use different techniques to attack bank clients and banking servers. A coherent framework to analyse the behaviour of these malware needs to be developed, so the impact of theirs attacks could be minimised. This thesis investigates a systematic analysis to understand these malware's behaviour and distribution method. From public and private sources, 37 samples of banking malware have been collected which represent eight major Android Banking malware families. In addition, we also analysed malware source code by reverse engineering all malware samples. As a result of analysis, a clear overview and better understanding of mobile banking malware on Android OS was established. The results indicated that Android banking malware is evolving in technique and will become more difficult to analyse in the future." -- Abstract.

Analysis And Classification Of Android Malware

Autore: Kimberly Tam
Editore:
ISBN:
Grandezza: 36,27 MB
Formato: PDF, Docs
Vista: 9921
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Detection Of Intrusions And Malware And Vulnerability Assessment

Autore: Michalis Polychronakis
Editore: Springer
ISBN: 3319608762
Grandezza: 49,20 MB
Formato: PDF, Docs
Vista: 2493
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This book constitutes the refereed proceedings of the 14th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2017, held in Bonn, Germany, in July 2017. The 18 revised full papers included in this book were carefully reviewed and selected from 67 submissions. They present topics such as enclaves and isolation; malware analysis; cyber-physical systems; detection and protection; code analysis; and web security.

Learning Android Forensics

Autore: Oleg Skulkin
Editore: Packt Publishing Ltd
ISBN: 1789137497
Grandezza: 46,37 MB
Formato: PDF, ePub, Mobi
Vista: 3798
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A comprehensive guide to Android forensics, from setting up the workstation to analyzing key artifacts Key Features Get up and running with modern mobile forensic strategies and techniques Analyze the most popular Android applications using free and open source forensic tools Learn malware detection and analysis techniques to investigate mobile cybersecurity incidents Book Description Many forensic examiners rely on commercial, push-button tools to retrieve and analyze data, even though there is no tool that does either of these jobs perfectly. Learning Android Forensics will introduce you to the most up-to-date Android platform and its architecture, and provide a high-level overview of what Android forensics entails. You will understand how data is stored on Android devices and how to set up a digital forensic examination environment. As you make your way through the chapters, you will work through various physical and logical techniques to extract data from devices in order to obtain forensic evidence. You will also learn how to recover deleted data and forensically analyze application data with the help of various open source and commercial tools. In the concluding chapters, you will explore malware analysis so that you’ll be able to investigate cybersecurity incidents involving Android malware. By the end of this book, you will have a complete understanding of the Android forensic process, you will have explored open source and commercial forensic tools, and will have basic skills of Android malware identification and analysis. What you will learn Understand Android OS and architecture Set up a forensics environment for Android analysis Perform logical and physical data extractions Learn to recover deleted data Explore how to analyze application data Identify malware on Android devices Analyze Android malware Who this book is for If you are a forensic analyst or an information security professional wanting to develop your knowledge of Android forensics, then this is the book for you. Some basic knowledge of the Android mobile platform is expected.

Android Malware Detection Through Permission And App Component Analysis Using Machine Learning Algorithms

Autore: Keyur Milind Kulkarni
Editore:
ISBN:
Grandezza: 31,53 MB
Formato: PDF, Docs
Vista: 8797
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Improvement in technology has inevitably altered the tactic of criminals to thievery. In recent times, information is the real commodity and it is thus subject to theft as any other possessions: cryptocurrency, credit card numbers, and illegal digital material are on the top. If globally available platforms for smartphones are considered, the Android open source platform (AOSP) emerges as a prevailing contributor to the market and its popularity continues to intensify. Whilst it is beneficiary for users, this development simultaneously makes a prolific environment for exploitation by immoral developers who create malware or reuse software illegitimately acquired by reverse engineering. Android malware analysis techniques are broadly categorized into static and dynamic analysis. Many researchers have also used feature-based learning to build and sustain working security solutions. Although Android has its base set of permissions in place to protect the device and resources, it does not provide strong enough security framework to defend against attacks. This thesis presents several contributions in the domain of security of Android applications and the data within these applications. First, a brief survey of threats, vulnerability and security analysis tools for the AOSP is presented. Second, we develop and use a genre extraction algorithm for Android applications to check the availability of those applications in Google Play Store. Third, an algorithm for extracting unclaimed permissions is proposed which will give a set of unnecessary permissions for applications under examination. Finally, machine learning aided approaches for analysis of Android malware were adopted. Features including permissions, APIs, content providers, broadcast receivers, and services are extracted from benign (~2,000) and malware (5,560) applications and examined for evaluation. We create feature vector combinations using these features and feed these vectors to various classifiers. Based on the evaluation metrics of classifiers, we scrutinize classifier performance with respect to specific feature combination. Classifiers such as SVM, Logistic Regression and Random Forests spectacle a good performance whilst the dataset of combination of permissions and APIs records the maximum accuracy for Logistic Regression.

Cyber Security

Autore: M. U. Bokhari
Editore: Springer
ISBN: 9811085366
Grandezza: 24,40 MB
Formato: PDF, ePub, Mobi
Vista: 4847
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This book comprises select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volume covers diverse topics ranging from information security to cryptography and from encryption to intrusion detection. This book focuses on Cyber Security. It aims at informing the readers about the technology in general and the internet in particular. The book uncovers the various nuances of information security, cyber security and its various dimensions. This book also covers latest security trends, ways to combat cyber threats including the detection and mitigation of security threats and risks. The contents of this book will prove useful to professionals and researchers alike.

Proceedings Of The 12th European Conference On Information Warfare And Security

Autore: Rauno Kuusisto
Editore: Academic Conferences Limited
ISBN: 1909507342
Grandezza: 12,71 MB
Formato: PDF, ePub, Docs
Vista: 1655
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Android Malware

Autore: Xuxian Jiang
Editore: Springer Science & Business Media
ISBN: 1461473942
Grandezza: 61,33 MB
Formato: PDF, ePub, Docs
Vista: 9022
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Mobile devices, such as smart phones, have achieved computing and networking capabilities comparable to traditional personal computers. Their successful consumerization has also become a source of pain for adopting users and organizations. In particular, the widespread presence of information-stealing applications and other types of mobile malware raises substantial security and privacy concerns. Android Malware presents a systematic view on state-of-the-art mobile malware that targets the popular Android mobile platform. Covering key topics like the Android malware history, malware behavior and classification, as well as, possible defense techniques.

Mobile Security Products For Android

Autore: Philipp Kratzer
Editore: BoD – Books on Demand
ISBN: 3738601899
Grandezza: 36,88 MB
Formato: PDF, ePub, Docs
Vista: 496
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We have once again tested security products for smartphones running Google's Android operating system. Our report covers details of the products made by leading manufacturers. Smartphones represent the future of modern communications. In 2013, more than 1 billion smartphones were sold, a further milestone in the advance of these devices1. A study published by Facebook emphasises the importance of smartphones in our lives; about 80% of users make use of their smartphone within 15 minutes of waking up each day. At the same time, the traditional function of a telephone is becoming less and less important. The high quality of integrated cameras means that the smartphone is increasingly used for photography. As well as with photos, users trust their devices with their most personal communications, such as Facebook, WhatsApp and email. This brings some risks with it, as such usage makes the smartphone interesting for criminals, who attempt to infect the device with malware or steal personal data. There is also the danger brought by phishing attacks. These days, the use of security software on a PC or laptop is seen as essential. However, many smartphone users do not yet have the same sense of responsibility, even though their devices store personal data, private photos, Internet banking information or even company data. As modern smartphones are often expensive to buy, they are also an attractive target for thieves. Top-quality smartphones cost several hundred Euros. As it is not possible to physically prevent them from being stolen, they must be made less attractive to thieves. Consequently, many of today's security products contain not only malware protection, but also highly developed theft-protection functions, which make the device less attractive to thieves (e.g. by locking the device), and help the owner to find it again.

International Conference On Computer Science And Network Security Csns 2014

Autore:
Editore: DEStech Publications, Inc
ISBN: 1605951765
Grandezza: 33,59 MB
Formato: PDF, Kindle
Vista: 414
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held from April 12 to 13, 2014 in Xi`an, China. The purpose of CSNS2014 is to provide a platform for researchers, engineers, and academicians, as well as industrial professionals, to present their research results and development on computer science and network security. The conference welcomes all the topics around Computer Science and Network Security. It provides enormous opportunities for the delegates to exchange new ideas and application experiences, to establish global business or research cooperation. The proceeding volume of CSNS2014 will be published by DEStech Publications. All the accepted papers have been selected according to their originality, structure, uniqueness and other standards of same importance by a peer-review group made up by 2–3 experts. The conference program is of great profoundness and diversity composed of keynote speeches, oral presentations and poster exhibitions. It is sincerely hoped that the conference would not only be regarded as a platform to provide an overview of the general situation in related area, but also a sound opportunity for academic communication and connection.

Computer Security Esorics 2014

Autore: Miroslaw Kutylowski
Editore: Springer
ISBN: 3319112031
Grandezza: 12,26 MB
Formato: PDF
Vista: 8388
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The two-volume set, LNCS 8712 and LNCS 8713 constitutes the refereed proceedings of the 19th European Symposium on Research in Computer Security, ESORICS 2014, held in Wroclaw, Poland, in September 2014 The 58 revised full papers presented were carefully reviewed and selected from 234 submissions. The papers address issues such as cryptography, formal methods and theory of security, security services, intrusion/anomaly detection and malware mitigation, security in hardware, systems security, network security, database and storage security, software and application security, human and societal aspects of security and privacy.

Android Security

Autore: Anmol Misra
Editore: CRC Press
ISBN: 143989647X
Grandezza: 60,88 MB
Formato: PDF, ePub
Vista: 4671
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Android Security: Attacks and Defenses is for anyone interested in learning about the strengths and weaknesses of the Android platform from a security perspective. Starting with an introduction to Android OS architecture and application programming, it will help readers get up to speed on the basics of the Android platform and its security issues.E

Detection Of Intrusions And Malware And Vulnerability Assessment

Autore: Ulrich Flegel
Editore: Springer
ISBN: 3642373003
Grandezza: 37,10 MB
Formato: PDF, ePub, Docs
Vista: 224
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This book constitutes the refereed post-proceedings of the 9th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2012, held in Heraklion, Crete, Greece, in July 2012. The 10 revised full papers presented together with 4 short papers were carefully reviewed and selected from 44 submissions. The papers are organized in topical sections on malware, mobile security, secure design, and intrusion detection systems (IDS).

Information Technology Applications In Industry Computer Engineering And Materials Science

Autore: S.Z. Cai
Editore: Trans Tech Publications Ltd
ISBN: 3038261513
Grandezza: 62,59 MB
Formato: PDF, Mobi
Vista: 7860
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Collection of selected, peer reviewed papers from the 2013 3rd International Conference on Materials Science and Information Technology (MSIT 2013), September 14-15, 2013, Nanjing, Jiangsu, China. The 958 papers are grouped as follows: Chapter 1: Materials Science and Engineering; Chapter 2: Mechatronics, Control, Testing, Measurement, Instrumentation, Detection and Monitoring Technologies; Chapter 3: Communication, Computer Engineering and Information Technologies; Chapter 4: Data Processing and Applied Computational Methods and Algorithms; Chapter 5: Power Systems and Electronics, Microelectronics and Embedded, Integrated Systems, Electric Applications; Chapter 6: Manufacturing, Industry Development and Automation.

Significant Permission Identification For Android Malware Detection

Autore: Lichao Sun
Editore:
ISBN:
Grandezza: 77,60 MB
Formato: PDF, Mobi
Vista: 7231
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A recent report indicates that a newly developed malicious app for Android is introduced every 11 seconds. To combat this alarming rate of malware creation, we need a scalable malware detection approach that is effective and efficient. In this thesis, we introduce SigPID, a malware detection system based on permission analysis to cope with the rapid increase in the number of Android malware. Instead of analyzing all 135 Android permissions, our approach applies 3-level pruning by mining the permission data to identify only significant permissions that can be effective in distinguishing benign and malicious apps. Based on the identified significant permissions, SigPID utilizes classification algorithms to classify different families of malware and benign apps. Our evaluation finds that only 25% of permissions (34 out of 135 permissions) are significant. We then compare the performance of our approach, using only 25% of all permissions, against a baseline approach that analyzes all permissions. The results indicate that when Support Vector Machine (SVM) is used as the classifier, we can achieve over 90% of precision, recall, accuracy, and F-measure, which are about the same as those produced by the baseline approach. We also show that SigPID is effective when used with 67 other commonly used supervised learning approaches. We find that 55 out of 67 algorithms can achieve F-measure of at least 85%, while the average running time can be reduced by 85.6\% compared with the baseline approach. When we compare the detection effectiveness of SigPID to those of other approaches, SigPID can detect 96.54% of malware in the data set while other approaches detect 3.99% to 96.41%.

Practical Mobile Forensics

Autore: Rohit Tamma
Editore: Packt Publishing Ltd
ISBN: 1838644423
Grandezza: 41,10 MB
Formato: PDF, Docs
Vista: 8676
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Become well-versed with forensics for the Android, iOS, and Windows 10 mobile platforms by learning essential techniques and exploring real-life scenarios Key Features Apply advanced forensic techniques to recover deleted data from mobile devices Retrieve and analyze data stored not only on mobile devices but also on the cloud and other connected mediums Use the power of mobile forensics on popular mobile platforms by exploring different tips, tricks, and techniques Book Description Mobile phone forensics is the science of retrieving data from a mobile phone under forensically sound conditions. This updated fourth edition of Practical Mobile Forensics delves into the concepts of mobile forensics and its importance in today's world. The book focuses on teaching you the latest forensic techniques to investigate mobile devices across various mobile platforms. You will learn forensic techniques for multiple OS versions, including iOS 11 to iOS 13, Android 8 to Android 10, and Windows 10. The book then takes you through the latest open source and commercial mobile forensic tools, enabling you to analyze and retrieve data effectively. From inspecting the device and retrieving data from the cloud, through to successfully documenting reports of your investigations, you'll explore new techniques while building on your practical knowledge. Toward the end, you will understand the reverse engineering of applications and ways to identify malware. Finally, the book guides you through parsing popular third-party applications, including Facebook and WhatsApp. By the end of this book, you will be proficient in various mobile forensic techniques to analyze and extract data from mobile devices with the help of open source solutions. What you will learn Discover new data extraction, data recovery, and reverse engineering techniques in mobile forensics Understand iOS, Windows, and Android security mechanisms Identify sensitive files on every mobile platform Extract data from iOS, Android, and Windows platforms Understand malware analysis, reverse engineering, and data analysis of mobile devices Explore various data recovery techniques on all three mobile platforms Who this book is for This book is for forensic examiners with basic experience in mobile forensics or open source solutions for mobile forensics. Computer security professionals, researchers or anyone looking to gain a deeper understanding of mobile internals will also find this book useful. Some understanding of digital forensic practices will be helpful to grasp the concepts covered in the book more effectively.

Mobile Forensic Investigations A Guide To Evidence Collection Analysis And Presentation

Autore: Lee Reiber
Editore: McGraw Hill Professional
ISBN: 0071843647
Grandezza: 64,85 MB
Formato: PDF
Vista: 6605
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This in-depth guide reveals the art of mobile forensics investigation with comprehensive coverage of the entire mobile forensics investigation lifecycle, from evidence collection through advanced data analysis to reporting and presenting findings. Mobile Forensics Investigation: A Guide to Evidence Collection, Analysis, and Presentation leads examiners through the mobile forensics investigation process, from isolation and seizure of devices, to evidence extraction and analysis, and finally through the process of documenting and presenting findings. This book gives you not only the knowledge of how to use mobile forensics tools but also the understanding of how and what these tools are doing, enabling you to present your findings and your processes in a court of law. This holistic approach to mobile forensics, featuring the technical alongside the legal aspects of the investigation process, sets this book apart from the competition. This timely guide is a much-needed resource in today’s mobile computing landscape. Notes offer personal insights from the author's years in law enforcement Tips highlight useful mobile forensics software applications, including open source applications that anyone can use free of charge Case studies document actual cases taken from submissions to the author's podcast series Photographs demonstrate proper legal protocols, including seizure and storage of devices, and screenshots showcase mobile forensics software at work Provides you with a holistic understanding of mobile forensics