Rahil Hosseini

Human-Centric Computing and Information Sciences · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Rahil Hosseini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Zhenlong Yuan

Who trusts Rahil Hosseini overall

1. Ömer Aslan
2. Junyang Qiu
3. Refik Samet

Papers from Rahil Hosseini's perspective

Ordered by how strongly the researchers Rahil Hosseini trusts endorse each paper. Same corpus, a different order for every researcher.

1. Opcode sequences as representation of executables for data-mining-based unknown malware detection (Information Sciences)
2. DroidDetector: Android Malware Characterization and Detection Using Deep Learning
3. Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs (Conference on Computer and Communications Security)
4. Dissecting Android Malware: Characterization and Evolution
5. Bump hunting in high-dimensional data
6. Unsafe exposure analysis of mobile in-app advertisements (Wireless Network Security)
7. DroidScope: Seamlessly Reconstructing the OS and Dalvik Semantic Views for Dynamic Android Malware Analysis (USENIX Security Symposium)
8. Execute This! Analyzing Unsafe and Malicious Dynamic Code Loading in Android Applications (Network and Distributed System Security Symposium)
9. RiskRanker: scalable and accurate zero-day android malware detection (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
10. A survey of mobile malware in the wild (Security and Privacy in Smartphones and Mobile Devices)

Their papers

• A state-of-the-art survey of malware detection approaches using data mining techniques (2018) — 355 citations