# Digital and Cyber Forensics

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/digital-and-cyber-forensics/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers covers a wide range of topics related to digital forensics, including challenges and approaches in Internet of Things (IoT) forensics, cloud computing, memory analysis, file carving, cybercrime investigations, and security issues in digital data and mobile devices. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12034 |
| Works | 18 |

## Topic papers all

Showing 15 of 18.

- [Deep Ground Truth Analysis of Current Android Malware](https://scholariq.org/papers/deep-ground-truth-analysis-of-current-android-malware/)
- [Beyond Google Play](https://scholariq.org/papers/beyond-google-play/)
- [Feature Selection and Evaluation of Permission-based Android Malware Detection](https://scholariq.org/papers/feature-selection-and-evaluation-of-permission-based-android-malware-detection/)
- [Critical Retrospection of Security Implication in Cloud Computing and Its Forensic Applications](https://scholariq.org/papers/critical-retrospection-of-security-implication-in-cloud-computing-and-its/)
- [Automated malware detection using machine learning and deep learning approaches for android applications](https://scholariq.org/papers/automated-malware-detection-using-machine-learning-and-deep-learning-approaches/)
- [Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks](https://scholariq.org/papers/tricking-llms-into-disobedience-formalizing-analyzing-and-detecting-jailbreaks/)
- [The practice of crime scene examination in an intelligence-based perspective](https://scholariq.org/papers/the-practice-of-crime-scene-examination-in-an-intelligence-based-perspective/)
- [JSON Web Token Penetration Testing on Cookie Storage with CSRF Techniques](https://scholariq.org/papers/json-web-token-penetration-testing-on-cookie-storage-with-csrf-techniques/)
- [A Survey on Malware Detection based on API Calls](https://scholariq.org/papers/a-survey-on-malware-detection-based-on-api-calls/)
- [Identify Handwriting Individually Using Feed Forward Neural Networks](https://scholariq.org/papers/identify-handwriting-individually-using-feed-forward-neural-networks/)
- [Automatic hand writer identification using the feed forward neural networks](https://scholariq.org/papers/automatic-hand-writer-identification-using-the-feed-forward-neural-networks/)
- [Criminal Event Detection and Classification in Web Documents Using ANN Classifier](https://scholariq.org/papers/criminal-event-detection-and-classification-in-web-documents-using-ann/)
- [An innovative and shared methodology for event reconstruction using images in forensic science](https://scholariq.org/papers/an-innovative-and-shared-methodology-for-event-reconstruction-using-images-in/)
- [Efficient Malware Classification Using Multiprocessing and Bag-of-Words Vectorization](https://scholariq.org/papers/efficient-malware-classification-using-multiprocessing-and-bag-of-words/)
- [Attention-Guided Ensemble Meta-CNN for Real-Time Android Malware Detection from APK Byte-Images](https://scholariq.org/papers/attention-guided-ensemble-meta-cnn-for-real-time-android-malware-detection-from/)

## Topic primary papers

- [Critical Retrospection of Security Implication in Cloud Computing and Its Forensic Applications](https://scholariq.org/papers/critical-retrospection-of-security-implication-in-cloud-computing-and-its/)
- [Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks](https://scholariq.org/papers/tricking-llms-into-disobedience-formalizing-analyzing-and-detecting-jailbreaks/)
- [Criminal Event Detection and Classification in Web Documents Using ANN Classifier](https://scholariq.org/papers/criminal-event-detection-and-classification-in-web-documents-using-ann/)
- [Social media analysis for criminal behavior detection using CNN-RNN modelling](https://scholariq.org/papers/social-media-analysis-for-criminal-behavior-detection-using-cnn-rnn-modelling/)
- [Reliability and Completeness of Metadata Extraction Tools in Image-Based Forensic Analysis](https://scholariq.org/papers/reliability-and-completeness-of-metadata-extraction-tools-in-image-based/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.