Some 400 million people change their phone's components, such as touchscreens, chargers, and battery or sensor assemblies.
A team of researchers has come up with an innovative firewall program that adds a missing layer of security in Android cellphones and monitors for malicious code.
Earlier this year, Yossi Oren and his team of researchers in the Ben-Gurion University of the Negev (BGU) Department of Software and Information Systems Engineering (ISE), discovered a security vulnerability in the internal communications between Android cellphone components and a phone's central processing unit (CPU). They alerted Android developer Google and helped the global company address the problem.
"Our technology doesn't require device manufacturers to understand or modify any new code," said Oren. "It's a firewall that can be implemented as a tiny chip, or as an independent software module running on the CPU."
Some 400 million people change their phone's components, such as touchscreens, chargers, and battery or sensor assemblies, which are all susceptible to significant security breaches and attacks. These components, referred to as "field replaceable units (FRUs)," communicate with the phone CPU over simple interfaces with no authentication mechanisms or error detection capabilities. A malicious vendor could add a compromised FRU to a phone, leaving it vulnerable to password and financial theft, fraud, malicious photo or video distribution, and unauthorized app downloads.
"This problem is especially acute in the Android market with many manufacturers that operate independently," the researchers said. "An attack of this type occurs outside the phone's storage area; it can survive phone factory resets, remote wipes and firmware updates. Existing security solutions cannot prevent this specific security issue."
Researcher Omer Schwartz added, "There is no way for the phone itself to discover that it's under this type of an attack. Our solution prevents a malicious or misconfigured FRU from compromising the code running on the CPU by checking all the incoming and outgoing communication."
The research team used machine learning algorithms to monitor the phones' internal communications for anomalies that may indicate malicious code. Their software allowed them to identify and prevent hardware-generated data leaks and hacks.
The researchers are seeking to further test the patent-pending technology with phone manufacturers.
A paper on the discovery and the new software will be presented at the prestigious Workshop on Offensive Technologies in Vancouver, Canada.