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

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

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

Cyber Threat Defense in Power Grids: Introducing the Grid-Lock Secure-Chain Consensus Framework

Rashi Saxena,Lalitha Kumari

#Blockchain #cyber threats #proof of vote #smart grid #security #consensus mechanism

Neural Networks and Sentiment Features for Extremist Content Detection in Arabic Social Media

Hanen Himdi,Fatimah Alhayan,Khaled Shaalan

#BERT #sentiment analysis #deep learning #transformer-based models

Agile Proactive Cybercrime Evidence Analysis Model for Digital Forensics

Mohammad Al-Mousa,Waleed Amer,Mosleh Abualhaj,Sultan Albilasi,Ola Nasir,Ghassan Samara

#Cybercrime evidence #digital forensics #proactive analysis #agile strategy #LLMs

Neural Networks and Sentiment Features for Extremist Content Detection in Arabic Social Media

Hanen Himdi,Fatimah Alhayan,Khaled Shaalan

#BERT #sentiment analysis #deep learning #transformer-based models

Agile Proactive Cybercrime Evidence Analysis Model for Digital Forensics

Mohammad Al-Mousa,Waleed Amer,Mosleh Abualhaj,Sultan Albilasi,Ola Nasir,Ghassan Samara

#Cybercrime evidence #digital forensics #proactive analysis #agile strategy #LLMs

Efficient Image Encryption via 2D Logistic Chaos Mapping: Strengthening Security with Pixel-Level Dynamics

Yuebo Wu,Shiwei Chu,Huifang Bao,Duansong Wang,Jian Zhou

#Image encryption algorithm #chaotic systems #pixel shifting #pixel scrambling

Machine Learning Driven Threat Identification to Enhance FANET Security using Genetic Algorithm

Shikha Gupta,Neetu Sharma

#FANET #threats #genetic #trust #reputation #network reliability #machine learning

XAI-PDF: A Robust Framework for Malicious PDF Detection Leveraging SHAP-Based Feature Engineering

Mustafa Al-Fayoumi,Qasem Abu Al-Haija,Rakan Armoush,Christine Amareen

#Machine learning #malicious PDF detection #feature engineering #explainable artificial intelligence #shapley additive explanations

LWE Based Quantum-Resistant Pseudo-Random Number Generator

Atul Kumar,Arun Mishra

#Learning with errors #homomorphic function #pseudo-random number generator #homomorphic function #linear feedback shift register #NIST statistical test suite

1

# Active authentication # data originator # verifier # E CC # e&passport # ES # passive authentication

A Survey: Face Recognition Techniques under Partial Occlusion

Department of Computer Science, COMSATS Institute o f Information Technology, Pakistan

# FR # part based methods # feature based methods # frac tal-based methods # partial occlusion # recognition rates

Enhancing Anti-phishing by a Robust Multi-Level Authentication Technique (EARMAT)

Abstract: Phishing is a kind of social engineering attack in which experienced persons or entities fool novice users to share

#Phishing # two-factor authentication # web security # google cloud messaging # mobile authentication

Phishing Detection using RDF and Random Forests Vamsee Muppavarapu, Archanaa Rajendran, and Shriram Vasudevan

cloned and victims are lured to the fake website to provide their personal as well as confidential information, sometimes it

#Phishing # ensemble learning # RDF models # phishing target # metadata # vocabulary # random forests

STF-DM: A Sparsely Tagged Fragmentation with Dynamic Marking an IP Traceback Approach

Abstract: Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks are serious threats to the Internet. The

#DDoS attack # IP traceback # probabilistic packet marking # dynamic marking # sparsely tagged marking

A new Model of Multi-Key Generation for RFID Access Control System

handling modern security threats, with access decisions influenced by several factors, including situational, environmental

#Encryption key generation model # Risk-based access control # Radio frequency identification