Parvez Faruki
Computer Networks and Communications · 2015–2019
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 55 citations into it
- Signal Processing — 40 citations into it
- Artificial Intelligence — 35 citations into it
Whom Parvez Faruki trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- William Enck
- Lok K. Yan
- Wu Zhou
- Vaibhav Rastogi
- Xuxian Jiang
- Georgios Portokalidis
- David Barrera
- Clint Gibler
- Yajin Zhou
- Machigar Ongtang
Who trusts Parvez Faruki overall
Papers from Parvez Faruki's perspective
Ordered by how strongly the researchers Parvez Faruki trusts endorse each paper. Same corpus, a different order for every researcher.
- On lightweight mobile phone application certification (Conference on Computer and Communications Security)
- Semantically Rich Application-Centric Security in Android (Asia-Pacific Computer Systems Architecture Conference)
- Apex: extending Android permission model and enforcement with user-defined runtime constraints (ACM Asia Conference on Computer and Communications Security)
- A Study of Android Application Security (USENIX Security Symposium)
- Analyzing inter-application communication in Android (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
- Crowdroid: behavior-based malware detection system for Android
- RiskRanker: scalable and accurate zero-day android malware detection (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
- A methodology for empirical analysis of permission-based security models and its application to android
- DroidScope: Seamlessly Reconstructing the OS and Dalvik Semantic Views for Dynamic Android Malware Analysis (USENIX Security Symposium)
- AndroidLeaks: Automatically Detecting Potential Privacy Leaks in Android Applications on a Large Scale (Trust and Trustworthy Computing)
Their papers
- Network Intrusion Detection for IoT Security Based on Learning Techniques (2019) — 766 citations
- Android Security: A Survey of Issues, Malware Penetration, and Defenses (2015) — 571 citations