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09/07/2023
Cybercrime Bitcoin Revenue Estimations: Quantifying the Impact of Methodology and Coverage
Multiple works have leveraged the public Bitcoin ledger to estimate the ...
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07/27/2023
Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
Many studies have proposed machine-learning (ML) models for malware dete...
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01/18/2023
One Size Does not Fit All: Quantifying the Risk of Malicious App Encounters for Different Android User Profiles
Previous work has investigated the particularities of security practices...
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10/28/2022
A Deep Dive into VirusTotal: Characterizing and Clustering a Massive File Feed
Online scanners analyze user-submitted files with a large number of secu...
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07/29/2022
GoodFATR: A Platform for Automated Threat Report Collection and IOC Extraction
To adapt to a constantly evolving landscape of cyber threats, organizati...
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06/01/2022
Detecting Cybercriminal Bitcoin Relationships through Backwards Exploration
Cybercriminals often leverage Bitcoin for their illicit activities. In t...
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09/08/2021
Unsupervised Detection and Clustering of Malicious TLS Flows
Malware abuses TLS to encrypt its malicious traffic, preventing examinat...
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10/22/2020
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline
Identifying threats in a network traffic flow which is encrypted is uniq...
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10/20/2020
How Did That Get In My Phone? Unwanted App Distribution on Android Devices
Android is the most popular operating system with billions of active dev...
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06/18/2020
AVClass2: Massive Malware Tag Extraction from AV Labels
Tags can be used by malware repositories and analysis services to enable...
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09/25/2019
A Survey of Binary Code Similarity
Binary code similarity approaches compare two or more pieces of binary c...
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08/06/2019
Cross-Origin State Inference (COSI) Attacks: Leaking Web Site States through XS-Leaks
In a Cross-Origin State Inference (COSI) attack, an attacker convinces a...
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11/16/2018