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LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in
  Mobile Applications
v1v2 (latest)

LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications

IEEE Conference on Computer Communications (INFOCOM), 2017
3 February 2017
Hao Xu
Zizhan Zheng
Somdutta Bose
M. Bishop
P. Mohapatra
ArXiv (abs)PDFHTML

Papers citing "LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications"

5 / 5 papers shown
AndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation
AndroByte: LLM-Driven Privacy Analysis through Bytecode Summarization and Dynamic Dataflow Call Graph Generation
Mst Eshita Khatun
Lamine Noureddine
Zhiyong Sui
Aisha Ali-Gombe
159
0
0
16 Oct 2025
Open Source Android Vulnerability Detection Tools: A Survey
Open Source Android Vulnerability Detection Tools: A Survey
Keyur Kulkarni
A. Javaid
100
10
0
31 Jul 2018
Android Malware Detection using Large-scale Network Representation Learning
Rui Zhu
Chenglin Li
Di Niu
Hongwen Zhang
Husam Kinawi
GNN
182
11
0
13 Jun 2018
Android Malware Detection based on Factorization Machine
Android Malware Detection based on Factorization Machine
Chenglin Li
Keith G. Mills
Rui Zhu
Di Niu
Hongwen Zhang
Husam Kinawi
162
72
0
30 May 2018
Keeping Context In Mind: Automating Mobile App Access Control with User
  Interface Inspection
Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection
Hao Xu
Zizhan Zheng
Sencun Zhu
Pransant Mohapatra
191
4
0
19 Sep 2017
1
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