News and Events

Aug 19 2014

NYIT Cybersecurity Conference 2014

Aug 18 2014

NYIT and Turkish Partner YTU Offer Dual Master’s Degrees

Aug 08 2014

Student-Doctors Begin NYIT Osteopathic Medical Education

Aug 05 2014

Paul Dangerfield to Lead NYIT-Vancouver

Aug 04 2014

NSF Awards NYIT Grant for Sputtering System to Support Nano/Micro-Fabrication Research

Aug 25 2014

Information Session About New ‘Minor in Energy Science, Technology and Policy’

Aug 26 2014

Graduate Enrollment Day

Aug 27 2014

School of Health Professions State of the School Address

Aug 27 2014

Graduate Enrollment Day

Aug 29 2014

New Student Orientation - Old Westbury

REU Research Projects

User Authentication Research for Mobile Devices

Faculty Mentor: Dr. Kiran Balagani

Objective: Explore the performance of authentication technologies in touch-based mobile devices under forgery and morphing attacks.

Implementation: Students will develop strategies and codes to inject attacks into state-of-the-art touch-based authentication algorithms and gain hands on research experience by designing and implementing adversarial attacks on these touch authentication algorithms.

Collective Model of Future Smartphone Botnets

Faculty Mentor: Dr. Xiaohui (Sean) Cui

Objective: Study the impact of smartphone botnets and find countermeasures by studying malware spreading on a botnet simulation platform.

Implementation: Students will contribute in creating adversarial smartphone-based malware and botnet software on smartphone emulation platforms, experimenting on the existing test bed, and collecting and analyzing experiment data. Students will also learn how to use botnet simulation tools, write script to collect experiment data and analyze data.

Implementation of Finite Field Arithmetic for Algebraic Cryptography on Mobile Devices

Faculty Mentor: Dr. Farshid Delgosha

Objective: Investigate efficient software implementation of arithmetic over small-size finite fields for implementing algebraic cryptosystems for mobile devices.

Implementation: Students will implement finite-field arithmetic cryptography for use on tablets.

Detection of Node Capture Attack in Smartphone-Backbone Sensing Cloud

Faculty Mentor: Dr. Wei Ding

Objective: Investigate methodologies to detect physical capture attack against smartphones.

Implementation: Students will help design a test phone, test circuits, and implement detection algorithms using Java or Python on smartphones.

Smartphone Geolocation

Faculty Mentor: Dr. Ziqian (Cecilia) Dong

Objective: Investigate effective smartphone geolocation techniques in metropolitan areas when GPS does not function well due to lack of line of sight and interference.

Implementation: Students will help collecting network measurements (network delay, bandwidth, data transmission rate, received signal strength and geographical location) using applications on smartphones, in both cellular and wireless networks.

Privacy-Protected Automated Medical Data Collection on Smartphones

Faculty Mentor: Dr. Huanying (Helen) Gu

Objective: Raise the awareness of students to privacy and anonymity issues related to the collection and manipulation of medical data and design a framework that manipulates health-related information and provides strong privacy guarantees.

Implementation: Students will develop a tool to automatically extract and de-identify collected medical data. Furthermore, they will identify the critical privacy problems in the existing system, and architect a more privacy-friendly system for automated medical data collection.


Safety and Privacy in Robotic Telepresence

Faculty Mentor: Dr. Chung Hyuk Park

Objective: Develop a methodology for robotic system for tele-medicine that can enhance privacy in personal data and physical safety during interaction with a tele-operated robot.

Implementation: Students willl develop and integrate different modules (i.e. depth-based visual perception, gesture recognition, and teleoperative robot control) that can run synchronously in a Linux system with a physical robot.


Topology Control of Wireless Networks

Faculty Mentor: Dr. Tao Zhang

Objective: Study the tradeoffs between topology control performance metrics such as throughput and power drainage and network security and to investigate traffic patterns, network metrics when wireless networks are under botnet attack.

Implementation: Students will study tradeoffs between topology control performance metrics in wireless mesh networks and network security. They will design and build simulation test beds using open source software such as OMNET, measure and model power drainage and throughput deterioration due to botnet attacks.