PROJECT TITLE :

Analyzing Android Encrypted Network Traffic to Identify User Actions

ABSTRACT:

Mobile devices can be maliciously exploited to violate the privacy of people. In most attack situations, the adversary takes the local or remote control of the mobile device, by leveraging a vulnerability of the system, hence sending back the collected data to some remote web service. During this paper, we have a tendency to consider a different adversary, who will not interact actively with the mobile device, but he is in a position to eavesdrop the network traffic of the device from the network side (e.g., controlling a Wi-Fi access purpose). The very fact that the network traffic is typically encrypted makes the attack even a lot of challenging. In this paper, we have a tendency to investigate to what extent such an external attacker can establish the precise actions that a user is performing on her mobile apps. We tend to design a system that achieves this goal using advanced machine learning techniques. We have a tendency to designed a whole implementation of this method, and we have a tendency to also run a thorough set of experiments, which show that our attack will achieve accuracy and precision over 95%, for most of the thought of actions. We tend to compared our answer with the three state-of-the-art algorithms, and confirming that our system outperforms all these direct competitors.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :Sponsoring Mobile Data: Analyzing the Impact on Internet Stakeholders - 2018ABSTRACT:As demand for mobile information will increase, end users increasingly would like to pay additional for consuming data. Sponsored
PROJECT TITLE : Hierarchy-Cutting Model based Association Semantic for Analyzing Domain Topic on the Web - 2017 ABSTRACT: Association link network (ALN) can organize huge Web info to provide several intelligent services in
PROJECT TITLE : Analyzing Sentiments in One Go: A Supervised Joint Topic Modeling Approach - 2017 ABSTRACT: During this work, we focus on modeling user-generated review and overall rating pairs, and aim to spot semantic aspects
PROJECT TITLE :Analyzing Enterprise Storage Workloads With Graph Modeling and ClusteringABSTRACT:Utilizing graph analysis models and algorithms to exploit advanced interactions over a network of entities is rising as an attractive
PROJECT TITLE :A New Measure for Analyzing and Fusing Sequences of ObjectsABSTRACT:This work is related to the combinatorial information analysis downside of seriation used for data visualization and exploratory analysis. Seriation

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry