Textbook in PDF format

In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various facets of digital forensics and cyber security, providing readers with a comprehensive look at current trends and future possibilities. Distinguished by its in-depth analysis and forward-looking perspective, this volume sets itself apart as an indispensable resource for those keen on navigating the complexities of securing the digital domain.
The term “zero-day exploits” refers to a specific kind of cyberattack that makes use of a software vulnerability that is not known either to the developer of the product or to the vendors of antivirus software. This indicates that the vendor has zero days’ notice to repair the vulnerability, and that means that attackers can use it to get access to susceptible systems before the company has the opportunity to correct it. Because defenders have no means to learn about or fight against zero-day attacks until after they have been utilized, combating these types of cyberthreats is one of the most challenging aspects. As a result, zero-day attacks are extremely useful for stealing data, installing malware, or interrupting operations.
There are many different variations of zero-day exploits; however, the following are some of the most common examples:
- SQL Injection is a type of exploit that occurs when a program improperly sanitizes user-supplied data before inserting it into a SQL query This can leave the application vulnerable to attacks This opens the door for attackers to include malicious code the query, which then gives the database the ability to carry out the attack
- Cross-Site Scripting, sometimes known as XSS, refers to a class of vulnerabilities that arise when an online application fails to adequately escape user-supplied input This might give attackers the ability to insert malicious JavaScript code into the web page, which would then allow the malware to be run by the user’s browser
Key features of this book include:
Innovative Strategies for Web Application Security: Insights into Moving Target Defense (MTD) techniques.
Blockchain Applications in Smart Cities: An examination of how blockchain technology can fortify data security and trust.
Latest Developments in Digital Forensics: A thorough overview of cutting-edge techniques and methodologies.
Advancements in Intrusion Detection: The role of Convolutional Neural Networks (CNN) in enhancing network security.
Augmented Reality in Crime Scene Investigations: How AR technology is transforming forensic science.
Emerging Techniques for Data Protection: From chaotic watermarking in multimedia to deep learning models for forgery detection.
This book aims to serve as a beacon for practitioners, researchers, and students who are navigating the intricate world of digital forensics and cyber security. By offering a blend of recent advancements and speculative future directions, it not only enriches the reader’s understanding of the subject matter but also inspires innovative thinking and applications in the field. Whether you’re a seasoned investigator, an academic, or a technology enthusiast, Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions promises to be a valuable addition to your collection, pushing the boundaries of what’s possible in digital forensics and beyond.
1 Secure Web Applications Based on Moving Target Defense: Challenges, Solutions, and New Trends
2 Blockchain-Based Data Security in Smart Cities: Ensuring Data Integrity and Trustworthiness
3 Recent Advances in Digital Forensics and Cybercrime Investigation
4 Detailed Evolution Process of CNN-Based Intrusion Detection in the Context of Network Security
5 Crime Scene Investigations through Augmented Reality: Recent Advances and Future Directions
6 Chaotic Watermarking for Tamper Detection: Enhancing Robustness and Security in Digital Multimedia
7 Secure Health Features: Implementing Hyperledger Fabric in Blockchain-Driven Healthcare Management Systems
8 Security Threats and Countermeasures for Digital Images in Smart Systems
9 Deep Learning Model for Digital Forensics Face Sketch Synthesis
10 Forgery Detection Based on Deep Learning for Smart Systems: Recent Advances and Collection of Datasets
11 Deep Learning-Based Forensics and Anti-Forensics
12 Cyber Synergy: Unlocking the Potential Use of Biometric Systems and Multimedia Forensics in Cybercrime Investigations