Robust smartphone app identification via encrypted network traffic analysis

Robust smartphone app identification via encrypted network traffic analysis

Бусад хувилбаруудыг харуулах (1)

The apps installed on a smartphone can reveal much information about a user, such as their medical conditions, sexual orientation, or religious beliefs. In addition, the presence or absence of particular apps on a smartphone can inform an adversary, who is intent on attacking the device. In this pap...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй
Үндсэн зохиолчид:	Taylor, V, Spolaor, R, Conti, M, Martinovic, I
Формат:	Journal article
Хэвлэсэн:	Institute of Electrical and Electronics Engineers 2017

Ижил төстэй зүйлс

Robust smartphone app identification via encrypted network traffic analysis
-н: Taylor, V, зэрэг
Хэвлэсэн: (2017)

Mobile app identification for encrypted network flows by traffic correlation
-н: Gaofeng He, зэрэг
Хэвлэсэн: (2018-12-01)

Automatic Mobile App Identification From Encrypted Traffic With Hybrid Neural Networks
-н: Xin Wang, зэрэг
Хэвлэсэн: (2020-01-01)

A robust encrypted traffic identification scheme based on graph neural network
-н: LI Mengxiang, зэрэг
Хэвлэсэн: (2024-06-01)

A robust encrypted traffic identification scheme based on graph neural network
-н: LI Mengxiang, зэрэг
Хэвлэсэн: (2024-06-01)

Accurate Encrypted Malicious Traffic Identification via Traffic Interaction Pattern Using Graph Convolutional Network
-н: Guoqiang Ren, зэрэг
Хэвлэсэн: (2023-01-01)

Encrypted Network Traffic Analysis of Secure Instant Messaging Application: A Case Study of Signal Messenger App
-н: Asmara Afzal, зэрэг
Хэвлэсэн: (2021-08-01)

Encrypted smartphone with advanced encryption standard 256
-н: Tan, Alvin Chee Munn.
Хэвлэсэн: (2011)

Detecting IoT User Behavior and Sensitive Information in Encrypted IoT-App Traffic
-н: Alanoud Subahi, зэрэг
Хэвлэсэн: (2019-11-01)

Attacking smartphone security and privacy
-н: Taylor, V, зэрэг
Хэвлэсэн: (2017)

Review and perspective on encrypted traffic identification research
-н: Wu-bin PAN, зэрэг
Хэвлэсэн: (2016-09-01)

Review and perspective on encrypted traffic identification research
-н: Wu-bin PAN, зэрэг
Хэвлэсэн: (2016-09-01)

There are many apps for that: Quantifying the availability of privacy-preserving apps
-н: Taylor, V, зэрэг
Хэвлэсэн: (2017)

Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network
-н: Yan Zhou, зэрэг
Хэвлэсэн: (2023-04-01)

Identification of Malicious Encrypted Traffic Through Feature Fusion
-н: Xianchun Zheng, зэрэг
Хэвлэсэн: (2023-01-01)

Improving medication management via dedicated smartphone app
-н: Khaled Moustafa
Хэвлэсэн: (2024-01-01)

Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning
-н: Ibrahim A. Alwhbi, зэрэг
Хэвлэсэн: (2024-05-01)

Rebalancing Encrypted Messaging Apps
-н: Tan, Teck Boon
Хэвлэсэн: (2016)

Encrypted traffic identification method based on deep residual capsule network with attention mechanism
-н: Guozhen SHI, зэрэг
Хэвлэсэн: (2023-02-01)

Encrypted traffic identification method based on deep residual capsule network with attention mechanism
-н: Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG
Хэвлэсэн: (2023-02-01)

Subspace clustering via graph auto-encoder network for unknown encrypted traffic recognition
-н: Ruipeng Yang, зэрэг
Хэвлэсэн: (2022-12-01)

A longitudinal study of financial apps in the Google Play Store
-н: Taylor, V, зэрэг
Хэвлэсэн: (2017)

Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments
-н: Faeiz Alserhani
Хэвлэсэн: (2024-12-01)

A novel dataset for encrypted virtual private network traffic analysis
-н: Mohamed Naas, зэрэг
Хэвлэсэн: (2023-04-01)

Survey of side channel attack on encrypted network traffic
-н: Ding LI, зэрэг
Хэвлэсэн: (2021-08-01)

Encrypted network traffic classification based on machine learning
-н: Reham T. Elmaghraby, зэрэг
Хэвлэсэн: (2024-02-01)

A survey of methods for encrypted network traffic fingerprinting
-н: Sunghyun Yu, зэрэг
Хэвлэсэн: (2023-01-01)

Survey of side channel attack on encrypted network traffic
-н: LI Ding, ZHU Yuefei, LU Bin, LIN Wei
Хэвлэсэн: (2021-08-01)

DEMO: Starving permission-Hungry Android apps using SecuRank
-н: Taylor, V, зэрэг
Хэвлэсэн: (2016)

Smartphone Apps for Smoking Cessation: Systematic Framework for App Review and Analysis
-н: Krysten W Bold, зэрэг
Хэвлэсэн: (2023-07-01)

Analysis of Approaches to Detecting Attacks in Encrypted Traffic
-н: Marina Polyanskaya
Хэвлэсэн: (2021-12-01)

Encrypted traffic identification scheme based on sliding window and randomness features
-н: LIU Jiachi, зэрэг
Хэвлэсэн: (2024-08-01)

Encrypted traffic identification scheme based on sliding window and randomness features
-н: Jiachi LIU, Boyu KUANG, Mang SU, Yaqian XU, Anmin FU
Хэвлэсэн: (2024-08-01)

An encrypted traffic identification method based on multi-scale feature fusion
-н: Peng Zhu, зэрэг
Хэвлэсэн: (2024-03-01)

A VPN-Encrypted Traffic Identification Method Based on Ensemble Learning
-н: Jie Cao, зэрэг
Хэвлэсэн: (2022-06-01)

Assessing intrusiveness of smartphone apps
-н: Zhang, Fan, M. Eng. Massachusetts Institute of Technology
Хэвлэсэн: (2014)

Smartphone apps for spiritual wellness
-н: Gorichanaz Tim
Хэвлэсэн: (2022-09-01)

Innovative smartphone apps for ophthalmologists
-н: John Davis Akkara, зэрэг
Хэвлэсэн: (2018-01-01)

Large-Scale analysis of auditory segregation behavior crowdsourced via a smartphone app
-н: Teki, S, зэрэг
Хэвлэсэн: (2016)

Large-Scale Analysis of Auditory Segregation Behavior Crowdsourced via a Smartphone App.
-н: Sundeep Teki, зэрэг
Хэвлэсэн: (2016-01-01)