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Found 15 papers, 2 papers with code
Unscrambling the Rectification of Adversarial Attacks Transferability across Computer Networks
Convolutional neural networks (CNNs) models play a vital role in achieving state-of-the-art performances in various technological fields.
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities
Afterward, we offer a solution that is capable of 1) making our AI systems robust against deepfakes during development and deployment phases; 2) detecting video, image, audio, and textual deepfakes; 3) identifying deepfakes that bypass detection (deepfake hunting); 4) leveraging available intelligence for timely identification of deepfake campaigns launched by state-sponsored hacking teams; 5) conducting in-depth forensic analysis of identified deepfake payloads.
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Image forensic plays a crucial role in both criminal investigations (e. g., dissemination of fake images to spread racial hate or false narratives about specific ethnicity groups) and civil litigation (e. g., defamation).
An Ensemble Deep Learning-based Cyber-Attack Detection in Industrial Control System
The integration of communication networks and the Internet of Things (IoT) in Industrial Control Systems (ICSs) increases their vulnerability towards cyber-attacks, causing devastating outcomes.
Smart Grid Cyber Attacks Detection using Supervised Learning and Heuristic Feature Selection
False Data Injection (FDI) attacks are a common form of Cyber-attack targetting smart grids.
Machine Learning Aided Static Malware Analysis: A Survey and Tutorial
Malware analysis and detection techniques have been evolving during the last decade as a reflection to development of different malware techniques to evade network-based and host-based security protections.
Cryptography and Security
Internet of Things Security and Forensics: Challenges and Opportunities
The Internet of Things (IoT) envisions pervasive, connected, and smart nodes interacting autonomously while offering all sorts of services.
Cryptography and Security
Emerging from The Cloud: A Bibliometric Analysis of Cloud Forensics Studies
The emergence of cloud computing technologies has changed the way we store, retrieve, and archive our data.
Cryptography and Security
Greening Cloud-Enabled Big Data Storage Forensics: Syncany as a Case Study
The pervasive nature of cloud-enabled big data storage solutions introduces new challenges in the identification, collection, analysis, preservation and archiving of digital evidences.
Cryptography and Security
Cloud Storage Forensic: hubiC as a Case-Study
This paper presents investigation of hubiC as one of popular cloud platforms running on Microsoft Windows 8. 1.
Cryptography and Security
CloudMe Forensics: A Case of Big-Data Investigation
The issue of increasing volume, variety and velocity of has been an area of concern in cloud forensics.
Cryptography and Security
Performance of Android Forensics Data Recovery Tools
Recovering deleted or hidden data is among most important duties of forensics investigators.
Cryptography and Security
Forensics Analysis of Android Mobile VoIP Apps
Voice over Internet Protocol (VoIP) applications (apps) provide convenient and low cost means for users to communicate and share information with each other in real-time.
Cryptography and Security
An Android Cloud Storage Apps Forensic Taxonomy
Many of these investigations include analysing data stored through cloud storage apps which contributes to importance of cloud apps forensics on mobile devices.
Cryptography and Security
Honeypots for employee information security awareness and education training: A conceptual EASY training model
This paper then examines how analysis of honeypot data can be used in employee information security awareness and education training.
Cryptography and Security Computers and Society
