Zhuoqing Morley Mao

Microphones that “hear” light; microprocessors that “tell” us secrets; self-driving cars that “see” fake objects; sensors that “feel” the wrong temperature. Our devices are under attack in new, increasingly sophisticated ways. Security researchers at CSE are exploring the limits of hardware and finding new, sobering vulnerabilities in our computers and homes.

Vehicles that perceive obstacles that aren’t really there could cause traffic accidents.

Up to this point, no attacks had been discovered targeting a car’s LiDAR system—but a major new finding from researchers at the University of Michigan has demonstrated what that might look like.

Chen’s dissertation research was dedicated to developing proactive defense approaches to the new security challenges of a hyper-connected world.

SkyCore is a complete software solution to deploying mobile networks on unmanned drones

The day when cars can talk to each other – and to traffic lights, stop signs, guardrails and even pavement markings – is rapidly approaching.

The vulnerability allows an attacker to manipulate a new intelligent traffic control algorithm and cause severe traffic jams.

‘Open port’ backdoors are common.

Researchers have for the first time characterized a widespread vulnerability in the software that runs on mobile devices.

Chen investigates how to develop defense approaches that can fundamentally address security challenges in existing and future smart systems.

Prof. Mao has led inquiries into issues of Internet routing, measurement and security, wide-area and enterprise network management, malware behavior analysis and host-based security in general.

New security ramifications exist when laptops and smartphones configured for enterprise systems are used outside the enterprise in the realm of the wider web.

It describes their work in measuring important network phenomena for debugging problems at the edge of a cellular network.

In an unusual turn of events, we've tied with ourselves for this one.

Mao’s goal was to create a diagnosis tool to achieve responsive and energy-efficient mobile apps that work well in diverse network conditions.

A weakness believed to exist in Android, Windows and iOS operating systems could be used to obtain personal information from unsuspecting users, research at the University of Michigan has shown.

The M45 program allows universities to conduct research otherwise impossible without the power and speed of an Internet-scale supercomputing resource.