activity
20152020
most citedMicrosoft Malware Classification Challenge

287 citations · 323 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2020★ 15 cited

MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing

Yaohui Chen, Mansour Ahmadi, Reza Mirzazade farkhani +2

Seed scheduling is a prominent factor in determining the yields of hybrid fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuristics that aim to predict input utilit…

cs.CR2020★ 12 cited

PTAuth: Temporal Memory Safety via Robust Points-to Authentication

Reza Mirzazade Farkhani, Mansour Ahmadi, Long Lu

Temporal memory corruptions are commonly exploited software vulnerabilities that can lead to powerful attacks. Despite significant progress made by decades of research on mitigatio…

cs.CR2018★ 287 cited

Microsoft Malware Classification Challenge

Royi Ronen, Marian Radu, Corina Feuerstein +2

The Microsoft Malware Classification Challenge was announced in 2015 along with a publication of a huge dataset of nearly 0.5 terabytes, consisting of disassembly and bytecode of m…

cs.CR2018★ 5 cited

IntelliAV: Building an Effective On-Device Android Malware Detector

Mansour Ahmadi, Angelo Sotgiu, Giorgio Giacinto

The importance of employing machine learning for malware detection has become explicit to the security community. Several anti-malware vendors have claimed and advertised the appli…

cs.CR2015★ 4 cited

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

Mansour Ahmadi, Dmitry Ulyanov, Stanislav Semenov +2

Modern malware is designed with mutation characteristics, namely polymorphism and metamorphism, which causes an enormous growth in the number of variants of malware samples. Catego…