Threat Intelligence Extraction Framework (TIEF) for TTP
Extraction
F1 0.933
Journal of Cybersecurity and Privacy (MDPI) · 2025
A DistilBERT pipeline that converts unstructured threat reports
into structured STIX 2.1 intelligence. It classifies attacker
behaviour across 560 MITRE ATT&CK techniques and
sub-techniques, reaching an F1 of 0.933 on a tough multi-label
task.
From Simulation to Application: The Role of CTF Competitions
in Cybersecurity Training
education
Institute of Electrical and Electronics Engineers (IEEE) · 2025
Argues that Capture the Flag competitions are an effective way
to teach real cybersecurity skill. It breaks down how challenges
are designed and deployed, from classrooms to job training to
major contests, and why active problem solving beats passive
study.
ResNet50 DeepFake Detector: Unmasking Reality
97% accuracy
Indian Journal of Science and Technology · 2024
A ResNet50 detector for video deepfakes trained on CelebDF and
FaceForensics++. An image-scraping stage removes irrelevant
regions before inference, pushing accuracy to 97% with under 5%
error across face-swap and lip-sync forgeries.
Securing Visual Integrity: EfficientNetB4 with Attention
Layers and Siamese Training
94% accuracy
International Journal of Intelligent Systems and Applications in
Engineering · 2024
Extends EfficientNetB4 with attention layers and Siamese
training to spot manipulated faces in video. Evaluated on the
FaceForensics and DFDC benchmarks, the model reaches 94%
accuracy against modern face-manipulation methods.
Advancements in Video Deepfake Detection: ResNet50,
EfficientNetB7 and EfficientNetAutoAttB4
ensemble
International Journal of Intelligent Systems and Applications in
Engineering · 2024
Combines ResNet50, EfficientNetB7 and EfficientNetAutoAttB4 into
a single averaged ensemble. The design catches both still-image
and full-video deepfakes, stays light on compute, and is built
with real-world deployment in mind.
Deepfake Detection Using EfficientNetB7: Efficacy, Efficiency,
and Adaptability
85% accuracy
International Journal of Intelligent Systems and Applications in
Engineering · 2024
Studies how well EfficientNetB7's compound scaling transfers to
video deepfake detection. It weighs accuracy against
computational cost across several datasets, landing near 85%
while staying efficient enough to deploy.
Harmonizing Algorithms: An Approach to Enhancing Audio
Deepfake Detection
97.28% accuracy
International Journal of Intelligent Systems and Applications in
Engineering · 2024
Targets audio deepfakes by running two detectors together: an
MFCC-based SVM at 97.28% accuracy and an attention neural
network at 91.04%. Cross-checking both models makes the
authenticity call far more reliable than either alone.
Improving Deepfake Audio Detection: A Support Vector Machine
Approach with MFCC
97.28% accuracy
International Journal of Intelligent Systems and Applications in
Engineering · 2024
Trains a Support Vector Machine on MFCC features drawn from the
195,000-clip Fake-or-Real dataset. The streamlined model
separates genuine speech from synthetic voices at 97.28%
accuracy and sets a baseline for tougher audio forensics.
Enhancing Audio Deepfake Detection using SVM and MFCC
97.28% accuracy
Journal of Harbin Engineering University · 2024
An SVM and MFCC pipeline for detecting synthetic speech, with a
focus on how raw, unprocessed training data improves robustness.
It distinguishes real from generated voices at 97.28% accuracy.
Detecting Deepfakes: Exploring Machine Learning Models for
Audio, Video, and Image Analysis
comparative study
International Journal of Intelligent Systems and Applications in
Engineering · 2024
A comparative study of machine-learning models for deepfake
detection across audio, video and image. It benchmarks Random
Forests, Gradient Boosting, SVMs, neural networks and CNNs, and
weighs ensemble and ResNet approaches for future work.
Deepfake Technology and Image Forensics: Advancements,
Challenges, and Ethical Implications
review
International Journal of Intelligent Systems and Applications in
Engineering · 2024
A broad review of how deepfakes are built with autoencoders,
GANs and CNNs, and how image forensics fights back. It also digs
into the ethical stakes of synthetic media and where detection
research needs to go next.
PixelTrace: A Forensic Investigation Tool
forensics tool
Journal of Emerging Technologies and Innovative Research · 2023
A digital-forensics tool that pairs Error Level Analysis with
machine learning to flag tampered or morphed regions inside an
image. Built to support investigators, journalists and platforms
checking whether a photo is authentic.