Cybersecurity System IDs Malware Hidden in Short Twitter Links

A machine classification system can identify harmful website links on Twitter within seconds of being clicked

2 min read
Cybersecurity System IDs Malware Hidden in Short Twitter Links
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Twitter and Facebook users can all too easily get a computer virus when they click on malware links shared by unsuspecting friends. To identify such malicious links on social media, UK researchers have developed a system that recognizes potential cyber attacks within seconds of clicking on a shortened Twitter link.

The “machine classifier” system has learned to identify malware activity in the system logs of infected machines just moments after clicking on suspicious links, according to a Cardiff University press release. It proved capable of identifying possible cyber attacks within five seconds with up to 83 percent accuracy. Given half a minute, it could identify cyber attacks with up to 98 percent accuracy.

“URLs are always shortened on Twitter due to character limitations in posts, so it’s incredibly difficult to know which are legitimate,” said Pete Burnap, director of the Social Data Science Lab at Cardiff University in the UK, in a press release statement. “Once infected the malware can turn your computer into a zombie computer and become part of a global network of machines used to hide information or route further attacks.”

Shortened links pose an identification challenge for current anti-virus software as well as for social media users. That’s in part because many anti-virus solutions have a tough time detecting previously unseen cyber attacks without knowing their code signatures, Burnap said. By analyzing the machine logs for suspicious patterns, the new cybersecurity research could eventually help develop a real-time system capable of protecting Twitter and Facebook users.

The machine classifier system trained itself by analyzing tweets containing shortened URLs from the 2015 Super Bowl and cricket world cup finals. Burnap and his colleagues from several other UK universities hope to stress-test the system by analyzing Twitter traffic from the European Football Championships coming up next summer.

To collect and analyze those Twitter links, researchers used an open-source “client honeypot” called Capture HPC, which was originally developed by Victoria University of Wellington in New Zealand. The client honeypot acts as a security device capable of monitoring and isolating data to investigate it for suspicious activity.

In this case, Capture HPC looked for possible patterns of malicious activity related to malware by monitoring changes in the files, registry files and processes. It also ran within a Virtual Machine environment to further isolate the malware’s changes to the system. More details on the research come from a paper presented at the 2015 IEEE / ACM International Conference on Advances in Social Networks Analysis and Mining in August 2015.

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Metamaterials Could Solve One of 6G’s Big Problems

There’s plenty of bandwidth available if we use reconfigurable intelligent surfaces

12 min read
An illustration depicting cellphone users at street level in a city, with wireless signals reaching them via reflecting surfaces.

Ground level in a typical urban canyon, shielded by tall buildings, will be inaccessible to some 6G frequencies. Deft placement of reconfigurable intelligent surfaces [yellow] will enable the signals to pervade these areas.

Chris Philpot

For all the tumultuous revolution in wireless technology over the past several decades, there have been a couple of constants. One is the overcrowding of radio bands, and the other is the move to escape that congestion by exploiting higher and higher frequencies. And today, as engineers roll out 5G and plan for 6G wireless, they find themselves at a crossroads: After years of designing superefficient transmitters and receivers, and of compensating for the signal losses at the end points of a radio channel, they’re beginning to realize that they are approaching the practical limits of transmitter and receiver efficiency. From now on, to get high performance as we go to higher frequencies, we will need to engineer the wireless channel itself. But how can we possibly engineer and control a wireless environment, which is determined by a host of factors, many of them random and therefore unpredictable?

Perhaps the most promising solution, right now, is to use reconfigurable intelligent surfaces. These are planar structures typically ranging in size from about 100 square centimeters to about 5 square meters or more, depending on the frequency and other factors. These surfaces use advanced substances called metamaterials to reflect and refract electromagnetic waves. Thin two-dimensional metamaterials, known as metasurfaces, can be designed to sense the local electromagnetic environment and tune the wave’s key properties, such as its amplitude, phase, and polarization, as the wave is reflected or refracted by the surface. So as the waves fall on such a surface, it can alter the incident waves’ direction so as to strengthen the channel. In fact, these metasurfaces can be programmed to make these changes dynamically, reconfiguring the signal in real time in response to changes in the wireless channel. Think of reconfigurable intelligent surfaces as the next evolution of the repeater concept.

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