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CCCS-CIC-AndMal-2024 (Machine Learning - Gist

WebarXiv.org e-Print archive WebCCCS-CIC-AndMal-2024 (Machine Learning + Deep Learning with Apache Spark 3.0) View CCCS-CIC-AndMal-2024 (Machine Learning + Deep Learning with Apache Spark 3.0) … irish national early warning system inews v2

Evaluating Dynamic Analysis Features for Android Malware …

This research work proposes a new comprehensive and huge android malware dataset, named CCCS-CIC-AndMal-2024. The dataset includes 200K benign and 200K malware samples totalling to 400K android apps with 14 prominent malware categories and 191 eminent malware families. See more The unrivaled threat of android malware is the root cause of various security problems on the internet. Android malware industry is becoming increasingly disruptive with … See more CCCS supported us to capture the real-world android malware apps for analysis. We used VirusTotal to specify malware family and label the dataset by following a consensus of 70% anti-viruses to incorporate reliability … See more To generate the representative dataset, we collaborated with CCCS to capture 200K android malware apps which are labeled and characterized into corresponding family. Benign android apps (200K) are collected … See more AndroidManifest.xmlcontains a lot of features that can be used for static analysis. The main extracted features include: 1. Activities: An android activity is one screen of the … See more http://www.ahlashkari.com/Datasets.asp port augusta library opening hours