Android Adware and General Malware Dataset ... The AAGM dataset is captured by installing the Android apps on the real smartphones semi-automated. The datase...

This dataset is a comprehensive evaluation of Android botnets, it gathered a large collection of Android botnet samples representing 14 botnet families. ......

A system to built to find the relations between the app on androids. ... This data set wich consist in 72 original apps from different origins, and the follo...

Assessing performance of any detection approach requires experimentation with data that is heterogeneous enough to simulate real traffic to an acceptable lev...

A Labeled Dataset with Botnet, Normal and Background traffic ... The CTU-13 is a dataset of botnet traffic that was captured in the CTU University, Czech Rep...

DoS attacks dataset ... In this study the focus was on the universal type of application DoS slow-rate attacks that are often seen in two variations: slow se...

A labeled benchmark dataset for training machine learning models to statically detect malicious Windows portable executable files ... The ember dataset is a ...

The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (Ge...

Traffic Data from Kyoto University's Honeypots ... With the rapid evolution and proliferation of botnets, largescale cyber attacks such as DDoS, spam emails ...

The Real Data Corpus (RDC) is a collection of disk images extracted from secondary storage devices that were acquired from second-hand markets around the wor...

User-Computer Authentication Events Data ... This anonymized data set encompasses 9 continuous months and represents 708,304,516 successful authentication ev...