Machine learning is a transformative field of Artificial Intelligence which is the most reliable career path in today’s time. You cannot go wrong with getting an education in this field, as anyone who has any skills, knowledge, or experience related to machine learning is an asset nowadays.
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As technology advances, so do the tactics of cybercriminals. This article discusses the role of Artificial Intelligence (AI) in cybersecurity, exploring how it has become a reformer in safeguarding our digital assets. We'll define AI, examine its relevance in cybersecurity, and analyze emerging trends in AI-powered online security.
6 min read
In this article, we'll go over the fundamentals of docker container security and forensics and offer some advice for safeguarding the containers used by your company.
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Discover a compilation of remarkable open-source intelligence tools and resources with the Open-Source Intelligence (OSINT) list. These tools are gathered from publicly accessible sources, as the "open" in the intelligence community refers to overt and widely accessible sources.
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Installing Autopsy 4.6.0 on linux by Christian Kisutsa Autopsy is a digital forensics tool that needs no introduction. It has …
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There are several ways to perform an extraction from the Windows Registry, let’s see some of the most useful. This …
File System Analysis with Binwalk Binwalk is a simple Linux tool used for analysis of binary image files. Analyzing binary image …
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In this short little video our instructor Josh presents his template for OSINT investigations. You can see what sections are …
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Windows Process Internals: A few Concepts to know before jumping on Memory Forensics [Part 3] – Journey in to the PsLoadedModuleList ( Loaded Kernel Modules) | By Kirtar Oza
Windows Process Internals: A few Concepts to know before jumping on Memory Forensics Part 3 – Journey in to the …
4 min read
Computer forensics is the process of obtaining digital information and analyzing it for any leaked or stolen data. Basically, it …
4 min read
In this video tutorial, you will go through an introduction to Instagram Forensics - what it is, what it is …
When it comes to OSINT investigations, surveillance, and other searches, the use of a sock puppet account(s) is a critical …
An Introduction To Memory Forensics: Windows Process Internals by Joseph Moronwi Our ability as forensic investigators to efficiently and effectively …
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How EnCase Software has Been Used in Major Crime Cases (Plus how to use EnCase Forensic Imager Yourself) | By Brent Whitfield
How EnCase Software has Been Used in Major Crime Cases (Plus how to use EnCase Forensic Imager Yourself) As with …
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This article shows you how to start a case with the new version 4.21.0 of Autopsy, one of the pioneering tools responsible for the digital change in forensic investigation in recent years. The article itself does not claim to be a complete guide for a person to use Autopsy. For this, there are several sources on the web. However, an introduction is made on how to start a case in Autopsy, using an image called SUSPECT_LAPTOP, which was used in Belkasoft training and for which I received permission to use.
This article shows a forensic analysis using Autopsy 4.21.0. The SUSPECT.EO1 file is a disk image case study and is evidence used in Belkasoft's X training and CTF challenge. The article is not intended to be a complete analysis of this image because this image has a lot of detail and has an investigative complexity that would require more than one article. In this way, some parts will be analyzed with the intention of showing the use of Autopsy.
Autopsy is an open-source, cross-platform digital forensics toolkit that offers a wide range of features and capabilities to aid investigators in the retrieval and analysis of digital evidence according to the project page (Autopsy, n.d.). This essay explores Autopsy, its significance in digital forensics, and its key features, from starting a case to managing the contents of artifacts and everything in between.
With such a large variety of digital data available, the tool selection process will depend greatly on what type of data you seek and how much of a budget you must spend. Many organizations opt to minimize costs by relying on open-source technology for their investigative needs. However, choosing this method can result in a shortfall when it comes to finding all the critical data. To prevent missing critical data, every investigator should have a secondary tool to use to cross-validate their findings. No single tool can process and capture all the available data, nor does every tool parse the data the same way. That's why employing a two-tool process is a fundamental cornerstone in the field of digital forensics. The selection process outlined below lists steps to follow to maximize your tool selection.
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"Micro-drone Warfare: Cybersecurity Implications and Countermeasures" is an advanced course designed for digital forensics professionals seeking to understand the cybersecurity challenges posed by the increasing use of micro-drones in modern warfare. The course provides an in-depth exploration of micro-drone technologies, their role in cyber threats, and the countermeasures necessary to mitigate these threats. Learners will delve into the various types and capabilities of micro-drones, their communication and networking technologies, and the associated cybersecurity vulnerabilities. The course covers risk assessment and threat modeling for micro-drone systems, analysis of real-world micro-drone warfare scenarios, and the development of defense strategies against potential cyber attacks. Additionally, the course addresses the legal and policy frameworks governing micro-drone warfare cybersecurity, including ethical considerations, privacy implications, and international regulations. The course is led by Rhonda Johnson, a seasoned educator and Ph.D. student specializing in Cybersecurity. Prior knowledge of computer networks, cybersecurity principles, operating systems, basic electronics, and wireless communication is recommended. The course employs tools such as Drone Simulators and Drone Performance Evaluation Tools for practical learning.
The course is intended for individuals from the IT industry as well as those outside of it who have some knowledge of cybersecurity. Basic concepts of cybersecurity are required. During the course, participants will acquire skills related to: Understanding digital forensics, including its scope, relevance in investigations, and legal and ethical considerations. Concepts of data integrity and its significance in digital forensics. They will learn about various threats to data integrity and techniques for ensuring its preservation throughout the forensic process. Principles of evidence handling, including chain of custody, documentation, and the importance of maintaining the integrity of evidence. Legal and ethical considerations related to digital evidence handling. This includes understanding privacy and confidentiality considerations and the role of expert witness testimony in courtroom presentations. Data acquisition techniques for different types of digital devices. They will learn about disk imaging, integrity verification, and the use of hash functions in maintaining data integrity. Techniques for analyzing and examining digital evidence, including file system analysis, data recovery, reconstruction techniques, and metadata analysis. The course also includes practical application of various tools and technologies used in digital forensics, such as Autopsy, The Sleuth Kit (TSK), Volatility, Plaso, Wireshark, Bulk Extractor, OSForensics, and Autopsy Browser. At the end of the course, a final exam is planned consisting of multiple-choice questions on the concepts and fundamentals arising from the course outcomes, along with practical tasks.
eForensics Course for eWarfare: Investigations, Threat Detection and Reconnaissance in the Electromagnetic Spectrum (W59)
eForensics for eWarfare: Investigations, Threat Detection, and Reconnaissance in the Electromagnetic Spectrum" is an innovative course designed to introduce learners to the application of digital forensics tools and techniques in electronic warfare. It aims to deepen participants' understanding of electronic warfare, its history, military applications, and how digital forensics is applied in warfare and intelligence. The course also focuses on the significance of electronic warfare in today's world, discussing potential threats and how to mitigate them. COURSE STRUCTURE: This course is structured into several key modules, each focusing on a specific aspect of electronic warfare. The modules are: Introduction to Electronic Warfare Notable Milestones in the Development of Electronic Warfare A Look at Air Force Radar Systems Military Application of Digital Forensics Investigating Incidents on Critical Infrastructure: Industrial Control Systems (ICS) Each module ends with a multiple-choice quiz to ensure understanding, with a pass mark of 75%. EQUIPMENT & PREREQUISITES: To participate, students will need a PC, tablet, or smartphone with an internet connection. Basic knowledge of information systems, cybersecurity, and digital forensics is recommended. ABOUT THE LECTURER: This course is led by an experienced lecturer from the Cyber Security Department of the Air Force Institute of Technology (AFIT), Kaduna. With a background in both training and consulting, the lecturer has considerable expertise in a range of relevant areas, including information and physical management, security, assurance, and control. Furthermore, he has authored numerous articles in well-established journals, including eForensics Magazine and the ISACA Journal, and has led training workshops on digital forensics and eDiscovery.