0% Complete
Home
/
15th International Conference on Computer and Knowledge Engineering
Multi-Layered Defense Against Modern Phishing: A Dual-Sandbox and CDR Approach
Authors :
Mahdi Seyfipoor
1
Mohammad Mahdi Eskandari
2
1- School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran
2- Computer Engineering, University of Tehran, Tehran, Iran
Keywords :
phishing،cybersecurity،sandbox،content disarm and reconstruction،Office document
Abstract :
Phishing attacks are a form of social engineering. They exploit human behavior to gain initial access to an organization. In this paper, we examine two common attack vectors: phishing websites and Office documents (e.g., Word and Excel), which are widely used in organizations. To counter these attacks, this paper proposes a dual sandbox architecture. It uses the Virtual Network Computing (VNC) protocol for websites and the Remote Desktop Protocol (RDP) for Office documents. Another approach is content disarm and reconstruction (CDR) for Office documents. This method parses different file types and eliminates potential threats. The CDR-enhanced sandbox performed strongly on Office, achieving 98.14% Recall and a False Positive Rate (FPR) of 0.5%. The website sandbox also achieved 94% Recall and an FPR of 6%, which is due to strict input validation, filtering of user inputs, and restrictions on files downloaded from the Internet. These findings confirm the defensive capabilities of architecture.
Papers List
List of archived papers
The Effect of Network Environment on Traffic Classification
Abolghasem Rezaei Khesal - Mehdi Teimouri
Robustness Scan of Digital Circuits Using Convolutional Neural Networks
Mobin Vaziri - Mohammad Mehdi Rahimifar - Hadi Jahanirad
Data-Optimized Dry Rock Property Prediction Using Ensemble and Kernel-Based ML Methods
Esmael Makarian - Hassanreza Ghasemitabar - Alireza Behinrad - Mahdi Fathi - Andisheh Alimoradi - Ayub Elyasi
UAV-based Firefighting by Multi-agent Reinforcement Learning
Reza Shami Tanha - Mohsen Hooshmand - Mohsen Afsharchi
Improving performance of multi-label classification using ensemble of feature selection and outlier detection
Mohammad Ali Zarif - Javad Hamidzadeh
SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs
Mostafa Koraei - S.Omid Fatemi
Designing an IT2 Fuzzy Rule-based System for Emotion Recognition Using Biological Data
Mahsa Keshtkar - Hooman Tahayori
Intensity-Image Reconstruction Using Event Camera Data by Changing in LSTM Update
Arezoo Rahmati Soltangholi - Ahad Harati - Abedin Vahedian
Degarbayan-SC: A Colloquial Paraphrase Farsi Subtitles Dataset
Mohammad Javad Aghajani - Mohammad Ali Keyvanrad
ExaASC: A General Target-Based Stance Detection Corpus in Arabic Language
Mohammad Mehdi Jaziriyan - Ahmad Akbari - Hamed Karbasi
more
Samin Hamayesh - Version 44.5.0