PROJECT TITLE :

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection - 2017

ABSTRACT:

To address the increasing variability and class of modern attacks, machine learning has been widely adopted as a statistically-sound tool for malware detection. However, its security against well-crafted attacks has not solely been recently questioned, however it has been shown that machine learning exhibits inherent vulnerabilities that can be exploited to evade detection at test time. In different words, machine learning itself will be the weakest link in an exceedingly security system. During this paper, we depend on a previously-proposed attack framework to categorize potential attack scenarios against learning-based mostly malware detection tools, by modeling attackers with different skills and capabilities. We then define and implement a group of corresponding evasion attacks to completely assess the safety of Drebin, an Android malware detector. The most contribution of this work is the proposal of a simple and scalable secure-learning paradigm that mitigates the impact of evasion attacks, while only slightly worsening the detection rate in the absence of attack. We finally argue that our secure-learning approach will additionally be readily applied to different malware detection tasks.


Did you like this research project?

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


PROJECT TITLE :Modeling, Detection, and Diagnosis of Faults in Multilevel Memristor MemoriesABSTRACT:Memristors are an attractive choice for use in future memory architectures but are vulnerable to high defect densities thanks
PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks - 2014 ABSTRACT: Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective
PROJECT TITLE : Network Resource Allocation for Users With Multiple Connections Fairness and Stability - 2014 ABSTRACT: This paper studies network resource allocation between users that manage multiple connections, possibly
PROJECT TITLE : Multicast Capacity in MANET with Infrastructure Support - 2014 ABSTRACT: We study the multicast capacity under a network model featuring both node's mobility and infrastructure support. Combinations between

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

Project Enquiry