Adversarially-Resilient Deep Learning Framework for Detecting Evasive Cyber Threats in Network Traffic

Nasser Alsharif

#adversarial #deep Learning #IDS #network traffic #cyber threats

Hybrid Transformer Framework for Domain Generated Algorithms Detection: A Fusion of Textual and Numeric Features

Suhad Malayshi,Ahmad Hasasneh*

#Domain generated algorithms #cybersecurity #hybrid deep learning #text transformers #multimodality #feature importance

Suhad Malayshi,Ahmad Hasasneh*

#Domain generated algorithms #cybersecurity #hybrid deep learning #text transformers #multimodality #feature importance

Dinesh Patil,Akshaya Prabhu

#Malware #windows event logs #code section #main memory analysis #main memory structures #VAD #volatile memory

Dinesh Patil,Akshaya Prabhu

#Malware #windows event logs #code section #main memory analysis #main memory structures #VAD #volatile memory

Ali Al Maqousi,Mohammad Alauthman

#Robotic systems #cybersecurity #malware detection #machine learning #ensemble learning #synthetic minority over-sampling technique

Shimiao Sun,Yashu Liu

#Gini impurity increment #TF-IDF #feature selection #dimensionality reduction

Using Cuckoo Sandbox in Software-Defined

#Zero-day attack # Malwares # Controller # Intrusion Detection System # Cuckoo Sandbox # Software-Defined Networks

Traffic Features

#Information Security # Android Malware # Network Traffic Analysis # Conversation-level Features # and Machine Learning

Shahid Alam,Alper Kamil Demir

#Android bytecode #malware analysis and detection #sliding window #gabor filters #gabor features #machine learning

Behnam Shamshirsaz, Seyyed Amir Asghari, Mohammadreza Binesh Marvasti

#Mid-level code # malware detection # process supervision # microsoft windows # anti-virus # endpoint detection and response

Shobana Manoharan,Poonkuzhali Sugumaran,Kishore Kumar

#System calls #IoT malwares #fog computing #RNN #CNN #multichannel CNN