Detection of Anti-forensics and Malware Applications in Volatile Memory Acquisition

Detection of Anti-forensics and Malware Applications in Volatile Memory Acquisition

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEA/AIE (35. : 2022 : Kitakyūshū) Advances and trends in artificial intelligence
1. Verfasser: Ratcliffe, Chandlor (VerfasserIn)
Weitere Verfasser: Bokolo, Biodoumoye George (VerfasserIn), Oladimeji, Damilola (VerfasserIn), Zhou, Bing (VerfasserIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: 2022
Schlagworte:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Titel Jahr Verfasser
Learning to Match Product Codes 2022 Excell, Ying
ResUnet: A Fully Convolutional Network for Speech Enhancement in Industrial Robots 2022 Pu, Yangyi
Development of a Multiagent Based Order Picking Simulator for Optimizing Operations in a Logistics Warehouse 2022 Sakuma, Takuto
Cardiovascular Disease Detection on X-Ray Images with Transfer Learning 2022 Van-Binh, Nguyen
Improvement of Text Image Super-Resolution Benefiting Multi-task Learning 2022 Honda, Kosuke
Question Difficulty Estimation with Directional Modality Association in Video Question Answering 2022 Kim, Bong-Min
Inducing a Malay Lexicon from an Unlabelled Dataset Using Word Embeddings 2022 Ho, Ian H. J.
Agent-Based Intermodal Behavior for Urban Toll 2022 Diallo, Azise Oumar
A Generalized Inverted Dirichlet Predictive Model for Activity Recognition Using Small Training Data 2022 Guo, Jiaxun
Deepfake Detection Using CNN Trained on Eye Region 2022 Johnson, David
Face Authentication from Masked Face Images Using Deep Learning on Periocular Biometrics 2022 Hernandez, Jeffrey J. V.
A Spatiotemporal Image Fusion Method for Predicting High-Resolution Satellite Images 2022 Chhabra, Vipul
Malware Classification Based on Graph Convolutional Neural Networks and Static Call Graph Features 2022 Mester, Attila
Two-Stage Traffic Clustering Based on HNSW 2022 Zhang, Xu
Monotonic Constrained Clustering: A First Approach 2022 González-Almagro, Germán
Cyclostationary Random Number Sequences for the Tsetlin Machine 2022 Tunheim, Svein Anders
MDNCaching: A Strategy to Generate Quality Negatives for Knowledge Graph Embedding 2022 Madushanka, Tiroshan
A Comparison of Resource Data Framework and Inductive Logic Programing for Ontology Development 2022 Nandini, Durgesh
Comparative Study of Methods for the Real-Time Detection of Dynamic Bottlenecks in Serial Production Lines 2022 West, Nikolai
Hospital Readmission Prediction via Personalized Feature Learning and Embedding: A Novel Deep Learning Framework 2022 Liu, Yuxi
Alle Artikel auflisten