Digital Forensics-2015
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A Decryption Process for Android Database Forensics
International Journal of Computer Sciences and Engineering Open Access Research Paper Vol.-7, Issue-3, March 2019 E-ISSN: 2347-2693 A Decryption Process for Android Database Forensics Nibedita Chakraborty1*, Krishna Punwar2 1,2Dept. of Information Technology and Telecommunication, Raksha Shakti University, Ahmedabad, India *Corresponding Author: [email protected], Tel.: 7980118774 DOI: https://doi.org/10.26438/ijcse/v7i3.2326 | Available online at: www.ijcseonline.org Accepted: 18/Mar/2019, Published: 31/Mar/2019 Abstract— Nowadays, Databases are mostly usable in business applications and financial transactions in Banks. Most of the database servers stores confidential and sensitive information of a mobile device. Database forensics is the part of digital forensics especially for the investigation of different databases and the sensitive information stored on a database. Mobile databases are totally different from the major database and are very platform independent as well. Even if they are not attached to the central database, they can still linked with the major database to drag and change the information stored on this. SQLite Database is mostly needed by Android application development. SQLite is a freely available database management system which is specially used to perform relational functional and it comes inbuilt with android to perform database functions on android appliance. This paper will show how a message can be decrypted by using block cipher modes and which mode is more secured and fast. Keywords—Database Forensics,Mobile Device ,Android,SQLite, Modes, Tools I. INTRODUCTION In android mobile phone device, SQLite is mainly based on ACID properties docile relational database management Database is an assemble form of interrelated data which is system. -
Implementing Cisco Cyber Security Operations
2019 CLUS Implementing Cisco Cyber Security Operations Paul Ostrowski / Patrick Lao / James Risler Cisco Security Content Development Engineers LTRCRT-2222 2019 CLUS Cisco Webex Teams Questions? Use Cisco Webex Teams to chat with the speaker after the session How 1 Find this session in the Cisco Live Mobile App 2 Click “Join the Discussion” 3 Install Webex Teams or go directly to the team space 4 Enter messages/questions in the team space Webex Teams will be moderated cs.co/ciscolivebot#LTRCRT-2222 by the speaker until June 16, 2019. 2019 CLUS © 2019 Cisco and/or its affiliates. All rights reserved. Cisco Public 3 Agenda • Goals and Objectives • Prerequisite Knowledge & Skills (PKS) • Introduction to Security Onion • SECOPS Labs and Topologies • Access SECFND / SECOPS eLearning Lab Training Environment • Lab Evaluation • Cisco Cybersecurity Certification and Education Offerings 2019 CLUS LTRCRT-2222 © 2019 Cisco and/or its affiliates. All rights reserved. Cisco Public 4 Goals and Objectives: • Today's organizations are challenged with rapidly detecting cybersecurity breaches in order to effectively respond to security incidents. Cybersecurity provides the critical foundation organizations require to protect themselves, enable trust, move faster, add greater value and grow. • Teams of cybersecurity analysts within Security Operations Centers (SOC) keep a vigilant eye on network security monitoring systems designed to protect their organizations by detecting and responding to cybersecurity threats. • The goal of Cisco’s CCNA Cyber OPS (SECFND / SECOPS) courses is to teach the fundamental skills required to begin a career working as an associate/entry-level cybersecurity analyst within a threat centric security operations center. • This session will provide the student with an understanding of Security Onion as an open source network security monitoring tool (NSM). -
Getting Started with Ethereal
Ethereal: Getting Started Computer Networking: A Top- down Approach Featuring the Internet, 3rd edition. Version: July 2005 © 2005 J.F. Kurose, K.W. Ross. All Rights Reserved ªTell me and I forget. Show me and I remember. Involve me and I understand.º Chinese proverb One's understanding of network protocols can often be greatly deepened by ªseeing protocols in actionº and by ªplaying around with protocolsº ± observing the sequence of messages exchanged between two protocol entities, delving down into the details of protocol operation, and causing protocols to perform certain actions and then observing these actions and their consequences. The basic tool for observing the messages exchanged between executing protocol entities is called a packet sniffer. As the name suggests, a packet sniffer captures (ªsniffsº) messages being sent/received from/by your computer; it will also typically store and/or display the contents of the various protocol fields in these captured messages. A packet sniffer itself is passive. It observes messages being sent and received by applications and protocols running on your computer, but never sends packets itself. Similarly, received packets are never explicitly addressed to the packet sniffer. Instead, a packet sniffer receives a copy of packets that are sent/received from/by application and protocols executing on your machine. Figure 1 shows the structure of a packet sniffer. At the right of Figure 1 are the protocols (in this case, Internet protocols) and applications (such as a web browser or ftp client) that normally run on your computer. The packet sniffer, shown within the dashed rectangle in Figure 1 is an addition to the usual software in your computer, and consists of two parts. -
Design Document for IP Fabrics
Design Document for IP Fabrics Author: May06-15 (Network Forensic UI) Andy Heintz (Communication Leader) Abraham Devine (Webmaster) Altay Ozen (Team Leader and Team Key Concept Holder) Dr. Joseph Zambreno (Adviser) Curt Schwaderer (Client) Version Date Author Change 1.0 10/26 AH Created initial version of design document 2.0 11/23 AH Created final version of design document Table of Contents 1 Problem Statement.................................................................................................................... 3 2 System Design ........................................................................................................................... 4 2.1 System Requirements................................................................................................................................ 4 2.2 Functional Requirements .......................................................................................................................... 4 2.3 Functional Decomposition ........................................................................................................................ 5 2.4 System Analysis ....................................................................................................................................... 6 3 Detailed Design ......................................................................................................................... 7 3.1 Input / Output Specification ..................................................................................................................... -
Hands-On Network Forensics, FIRST 2015
2015-04-30 WWW.FORSVARSMAKTEN.SE Hands-on Network Forensics Workshop Preparations: 1. Unzip the virtual machine from NetworkForensics_ VirtualBox.zip on your EXTENSIVE USE OF USB thumb drive to your local hard drive COMMAND LINE 2. Start VirtualBox and run the Security Onion VM IN THIS WORKSHOP 3. Log in with: user/password 1 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE Hands-on Network Forensics Erik Hjelmvik, Swedish Armed Forces CERT FIRST 2015, Berlin 2 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE Hands-on Network Forensics Workshop Preparations: 1. Unzip the virtual machine from NetworkForensics_ VirtualBox.zip on your EXTENSIVE USE OF USB thumb drive to your local hard drive COMMAND LINE 2. Start VirtualBox and run the Security Onion VM IN THIS WORKSHOP 3. Log in with: user/password 3 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE ”Password” Ned 4 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE SysAdmin: Homer 5 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE PR /Marketing: Krusty the Clown 6 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE Password Ned AB = pwned.se 7 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE pwned.se Network [INTERNET] | Default Gateway 192.168.0.1 PASSWORD-NED-XP www.pwned.se | 192.168.0.53 192.168.0.2 [TAP]--->Security- | | | Onion -----+------+---------+---------+----------------+------- | | Homer-xubuntu Krustys-PC 192.168.0.51 192.168.0.54 8 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE Security Onion 9 FM CERT 2015-04-30 WWW.FORSVARSMAKTEN.SE Paths (also on Cheat Sheet) • PCAP files: /nsm/sensor_data/securityonion_eth1/dailylogs/ • Argus files: -
Network Intell: Enabling the Non-Expert Analysis of Large Volumes of Intercepted Network Traffic
Chapter 1 NETWORK INTELL: ENABLING THE NON- EXPERT ANALYSIS OF LARGE VOLUMES OF INTERCEPTED NETWORK TRAFFIC Erwin van de Wiel, Mark Scanlon and Nhien-An Le-Khac Abstract In criminal investigations, telecommunication wiretaps have become a common technique used by law enforcement. While phone-based wire- tapping is well documented and the procedure for their execution are well known, the same cannot be said for Internet taps. Lawfully inter- cepted network traffic often contains a lot of encrypted traffic making it increasingly difficult to find useful information inside the traffic cap- tured. The advent of Internet-of-Things further complicates the pro- cess for non-technical investigators. The current level of complexity of intercepted network traffic is close to a point where data cannot be analysed without supervision of a digital investigator with advanced network knowledge. Current investigations focus on analysing all traffic in a chronological manner and are predominately conducted on the data contents of the intercepted traffic. This approach often becomes overly arduous when the amount of data to be analysed becomes very large. In this paper, we propose a novel approach to analyse large amounts of intercepted network traffic based on network metadata. Our approach significantly reduces the duration of the analysis and also produces an arXiv:1712.05727v2 [cs.CR] 27 Jan 2018 insight view of analysing results for the non-technical investigator. We also test our approach with a large sample of network traffic data. Keywords: Network Investigation, Big Data Forensics, Intercepted Network Traffic, Internet tap, Network Metadata Analysis, Non-Technical Investigator. 1. Introduction Lawful interception is a method that is used by the police force in some countries in almost all middle-to high-level criminal investigations. -
Comparing SSD Forensics with HDD Forensics
St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 5-2020 Comparing SSD Forensics with HDD Forensics Varun Reddy Kondam [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Kondam, Varun Reddy, "Comparing SSD Forensics with HDD Forensics" (2020). Culminating Projects in Information Assurance. 105. https://repository.stcloudstate.edu/msia_etds/105 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. Comparing SSD Forensics with HDD Forensics By Varun Reddy Kondam A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Assurance May 2020 Starred Paper Committee: Mark Schmidt, Chairperson Lynn Collen Sneh Kalia 2 Abstract The technological industry is growing at an unprecedented rate; to adequately evaluate this shift in the fast-paced industry, one would first need to deliberate on the differences between the Hard Disk Drive (HDD) and Solid-State Drive (SSD). HDD is a hard disk drive that was conventionally used to store data, whereas SSD is a more modern and compact substitute; SSDs comprises of flash memory technology, which is the modern-day method of storing data. Though the inception of data storage began with HDD, they proved to be less accessible and stored less data as compared to the present-day SSDs, which can easily store up to 1 Terabyte in a minuscule chip-size frame. -
Wireshark & Ethereal Network Protocol Analyzer
377_Eth2e_FM.qxd 11/14/06 1:23 PM Page i Visit us at www.syngress.com Syngress is committed to publishing high-quality books for IT Professionals and delivering those books in media and formats that fit the demands of our cus- tomers. We are also committed to extending the utility of the book you purchase via additional materials available from our Web site. SOLUTIONS WEB SITE To register your book, visit www.syngress.com/solutions. Once registered, you can access our [email protected] Web pages. There you may find an assortment of value-added features such as free e-books related to the topic of this book, URLs of related Web sites, FAQs from the book, corrections, and any updates from the author(s). ULTIMATE CDs Our Ultimate CD product line offers our readers budget-conscious compilations of some of our best-selling backlist titles in Adobe PDF form. These CDs are the perfect way to extend your reference library on key topics pertaining to your area of exper- tise, including Cisco Engineering, Microsoft Windows System Administration, CyberCrime Investigation, Open Source Security, and Firewall Configuration, to name a few. DOWNLOADABLE E-BOOKS For readers who can’t wait for hard copy, we offer most of our titles in download- able Adobe PDF form. These e-books are often available weeks before hard copies, and are priced affordably. SYNGRESS OUTLET Our outlet store at syngress.com features overstocked, out-of-print, or slightly hurt books at significant savings. SITE LICENSING Syngress has a well-established program for site licensing our e-books onto servers in corporations, educational institutions, and large organizations. -
Packet Capture and Analysis in Hybrid Environments
Packet Capture and Analysis in Hybrid Environments Lawrence Miller Inside the Guide • Discover why packet capture and analysis of on- premises and cloud applications in modern hybrid environments is so challenging • Learn how to analyze packets at the Transport and Application Layers to uncover the root cause of issues • Explore how putting the right tools in the hands of the right people can help make your entire IT team more effective THE GORILLA GUIDE TO... Packet Capture and Analysis in Hybrid Environments Express Edition By Lawrence Miller Copyright © 2020 by ActualTech Media All rights reserved. This book or any portion thereof may not be reproduced or used in any manner whatsoever without the express written permission of the publisher except for the use of brief quotations in a book review. Printed in the United States of America. ACTUALTECH MEDIA 6650 Rivers Ave Ste 105 #22489 North Charleston, SC 29406-4829 www.actualtechmedia.com PUBLISHER’S ACKNOWLEDGEMENTS EDITOR Keith Ward, ActualTech Media PROJECT MANAGER Wendy Hernandez, ActualTech Media EXECUTIVE EDITOR James Green, ActualTech Media LAYOUT AND DESIGN Olivia Thomson, ActualTech Media WITH SPECIAL CONTRIBUTIONS FROM Paul R. Dietz, Riverbed Stephen Creel, Riverbed Heidi Gabrielson, Riverbed Kowshik Bhat, Riverbed TABLE OF CONTENTS Introduction 7 Chapter 1: A Primer on Packets 8 Looking at Packets and Packet-Switched Networks 8 Understanding the Open Systems Interconnection (OSI) Model and Packet Encapsulation 11 Addressing Modern Packet Capture and Analysis Challenges 13 -
Forensic Toolkit (FTK)
Forensic Toolkit (FTK) User Guide | 1 AccessData Legal and Contact Information Document date: January 31, 2018 Legal Information ©2018 AccessData Group, Inc. All rights reserved. No part of this publication may be reproduced, photocopied, stored on a retrieval system, or transmitted without the express written consent of the publisher. AccessData Group, Inc. makes no representations or warranties with respect to the contents or use of this documentation, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to revise this publication and to make changes to its content, at any time, without obligation to notify any person or entity of such revisions or changes. Further, AccessData Group, Inc. makes no representations or warranties with respect to any software, and specifically disclaims any express or implied warranties of merchantability or fitness for any particular purpose. Further, AccessData Group, Inc. reserves the right to make changes to any and all parts of AccessData software, at any time, without any obligation to notify any person or entity of such changes. You may not export or re-export this product in violation of any applicable laws or regulations including, without limitation, U.S. export regulations or the laws of the country in which you reside. AccessData Group, Inc. 588 West 400 South Suite 350 Lindon, UT 84042 USA AccessData Trademarks and Copyright Information The following are either registered trademarks or trademarks of AccessData Group, Inc. All other trademarks are the property of their respective owners. AccessData® AD Summation® Mobile Phone Examiner Plus® AccessData Certified Examiner® (ACE®) Discovery Cracker® MPE+ Velocitor™ AD AccessData™ Distributed Network Attack® Password Recovery Toolkit® AD eDiscovery® DNA® PRTK® AD RTK™ Forensic Toolkit® (FTK®) Registry Viewer® LawDrop® Summation® | 2 A trademark symbol (®, ™, etc.) denotes an AccessData Group, Inc. -
Improving the Efficiency of Big Forensic Data Analysis Using Nosql
Improving the Efficiency of Big Forensic Data Analysis Using NoSQL Md Baitul Al Sadi Hayden Wimmer Lei Chen Kai Wang Department of Information Department of Information Department of Information Department of Computer Technology Technology Technology Science Georgia Southern University Georgia Southern University Georgia Southern University Georgia Southern University Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA Statesboro, GA 30458, USA [email protected] [email protected] [email protected] [email protected] them in NoSQL (Not Only SQL) database. There is a variety of ABSTRACT tools available including Autopsy, EnCase, Foremost, FTK, The rapid growth of Internet of Things (IoT) makes the task for Registry Recon, PTK Forensics, The Sleuth Kit, The Coroner's digital forensic more difficult. At the same time, the data analyzing Toolkit, COFEE etc. to extract data from IoT devices. The technology is also developing in a feasible pace. Where traditional extracted data will be in an unstructured format, hence NoSQL is Structured Query Language (SQL) is not adequate to analyze the the best solution to analyze them. Here the document-oriented data in an unstructured and semi-structured format, Not only database program, MongoDB has been chosen to analyze the data Standard Query Language (NoSQL) unfastens the access to from Internet of Things (IoT). To our best knowledge this is pioneer analyzing the data of all format. The large volume of data of IoTs work in terms of using NoSQL and MongoDB for DF. turns into Big Data which just do not enhance the probability of attaining of evidence of an incident but make the investigation 2 BACKGROUND process more complex. -
Performance of Android Forensics Data Recovery Tools
This is author accepted copy; for final version please refer to: B.C. Ogazi-Onyemaechi, Ali Dehghantanha, Kim-Kwang Raymond Choo, “Performance of Android Forensics Data Recovery Tools”, Pages 91-110, Chapter 7, (Elsevier) Contemporary Digital Forensic Investigations Of Cloud And Mobile Applications Performance of Android Forensics Data Recovery Tools Bernard Chukwuemeka Ogazi-Onyemaechi1, Ali Dehghantanha1; Kim-Kwang Raymond Choo2 1School of Computing, Science and Engineering, University of Salford, Manchester, United Kingdom 2 Information Assurance Research Group, University of South Australia, Australia [email protected]; [email protected]; [email protected] Abstract- Recovering deleted or hidden data is among most important duties of forensics investigators. Extensive utilisation of smartphones as subject, objects or tools of crime made them an important part of residual forensics. This chapter investigates the effectiveness of mobile forensic data recovery tools in recovering evidences from a Samsung Galaxy S2 i9100 Android phone. We seek to determine the amount of data that could be recovered using Phone image carver, Access data FTK, Foremost, Diskdigger, and Recover My File forensic tools. The findings reflected the difference between recovery capacities of studied tools showing their suitability in their specialised contexts only. Keywords: Data recovery, digital forensics, deleted file recovery, mobile forensics, Android forensics. 1 1.0 INTRODUCTION Smart mobile devices, particularly smartphones, are increasingly popular in today’s Internet-connected society (1–4). For example, few years ago in 2010, shipments of smartphone grew by 74 percent to 295 million units (3,4). Unsurprisingly, sales of smartphones have been increasing since then (5,6), and it has been estimated that 1.5 billion smartphones will be sold by 2017 and 1 billion mobile subscribers by 2022 (7–15).