3 papers
cs.CR2022
Multi-feature Dataset for Windows PE Malware Classification
Muhammad Irfan Yousuf, Izza Anwer, Tanzeela Shakir +2
This paper describes a multi-feature dataset for training machine learning classifiers for detecting malicious Windows Portable Executable (PE) files. The dataset includes four fea…
cs.SI2021
An Empirical Study of Compression-friendly Community Detection Methods
Muhammad Irfan Yousuf, Izza Anwer, Muhammad Abid
Real-world graphs are massive in size and we need a huge amount of space to store them. Graph compression allows us to compress a graph so that we need a lesser number of bits per…
cs.SI2021
Empirical Characterization of Graph Sampling Algorithms
Muhammad Irfan Yousuf, Izza Anwer, Raheel Anwar
Graph sampling allows mining a small representative subgraph from a big graph. Sampling algorithms deploy different strategies to replicate the properties of a given graph in the s…