EyeDecrypt is a novel technology for privacy-preserving human-computer interaction. EyeDecrypt allows only authorized users to decipher data shown on a display, such as an electronic screen or plain-printed material; in the former case, the authorized user can then interact with the system (e.g., by typing a password), without revealing the details of the interaction to others who may be watching (e.g., shoulder-surfing) or to the system itself (e.g., key-loggers).

Next-generation mobility network security

Current cellular networks support a large number of heterogeneous services that span beyond traditional voice and short messaging traffic to high-bandwidth data communications. Billions of users and almost every industry depend on cellular networks on a daily basis. The necessity of maintaining the availability of mobility networks against threats and other attacks is clear.  Current mobility networks, with a heterogeneous mix of multiple radio access technologies, and a combination of cellular, femtocell, and WiFi access points, increases the complexity of the problem.

Lightweight Agent Based Malware Detection

As message based mobile malware gains growing interest, it is critical to collect malware signatures on 0-day and infer its propagation state. In this project, we propose an idea of applying lightweight agents on mobile devices to detect, analyze and predict message based malware propagation.

Advanced Persistent Threat - Attack Model, Detection and Response

Advanced Persistent Threats (APTs) are some of the fastest growing information security threats that organizations are facing today and represent a sophisticated attack entity emerging in the cyber threats environment.

LTE Security R&D Lab

At the AT&T Security Research Center we are working in cutting edge R&D projects aimed to enhance the security of LTE technologies in order to achieve full availability of next generation mobility networks against security attacks. Our LTE Security R&D lab is fully equipped with state of the art RF and networking tools that we leverage to test and design new security technologies. Our full LTE lab network, with the nodes of a real production LTE network, provides us with a powerful platform that we use to design future mobility networks with enhanced security and resiliency against attacks.

Network-based detection of SMS attacks, abuse and spam

The fast growth in mobile phone use has brought an increase in SMS usage as well as a marked upwards trend in the use of SMS as a vector for malware, spam and other attacks. This work studies methods to detect and handle such attacks and abuse in as close to real-time as possible.