PROJECT TITLE :

End-to-End Detection of Caller ID Spoofing Attacks - 2018

ABSTRACT:

Caller ID (caller identification) may be a service provided by telephone operators where the phone variety and/or the name of the caller is transmitted to tell the callee who is calling. These days, most folks trust the caller ID info and some banks even use Caller ID to authenticate customers. However, with the proliferation of smartphones and VoIP, it is straightforward to spoof caller ID information by installing a explicit application on the smartphone or by using service providers that offer Caller ID spoofing. As the phone network is fragmented between countries and corporations and upgrades of previous hardware is dear, no mechanism is accessible today to let end-users simply detect Caller ID spoofing attacks. In this text, we propose a replacement approach of using end-to-end caller ID verification schemes that leverage options of the prevailing phone network infrastructure (CallerDec). We design an SMS-based mostly and a timing-based version of CallerDec that works with existing combinations of landlines, cellular and VoIP networks and will be deployed at the liberty of the users. We tend to implemented both CallerDec schemes as an App for Android-primarily based phones and validated their effectiveness in detecting spoofing attacks in various scenarios.


Did you like this research project?

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


PROJECT TITLE : Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning ABSTRACT: However, road intersections have historically been among the most significant traffic bottlenecks that have contributed
PROJECT TITLE : Towards End-to-End Text Spotting in Natural Scenes ABSTRACT: The ability to recognize text within images of natural scenes is critical for a wide variety of image understanding tasks. Text detection and recognition
PROJECT TITLE : HazDesNet An End-to-End Network for Haze Density Prediction ABSTRACT: Weather conditions ought to be taken into consideration by vision-based intelligent systems like those used for driver assistance and transportation.
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is frequently
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is

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

Project Enquiry