The problem here is that not only can you use this method to break into the car alarm, you can also use the GSM network to break into other devices. However, some car alarms use secure data transmission channels, so they can withstand such attacks. "Our goal is to enable major manufacturers to check their technology and improve alarms,"-Don Bailey said. We provide all the information collected to the major alarm manufacturers and hope you take some action. In any case, it turns out that such a hacker is very good, and I will not use or intend to use it. GPS jammer can prevent others from monitoring your location and keep your location away from others.
On the other hand, people are accustomed to video surveillance. CCTV cameras are everywhere. Car cameras may be installed on cars, but the difference here is that all collected data is stored locally and will be deleted after a period of time. As for Google Glass, all data is stored in the cloud, and any literati can retrieve it from there, whether law enforcement officials or terrorists. It may be stored for a long time. As long as Google collects data from individual users, we will use all the information collected through Glass without hesitation. All these files can be processed, and audio files can be converted to text and processed with filters. People who use photos and videos can find out the location, time, and location of a specific person by detecting faces.
In fact, you can find some of these tracking points for everyone from open source resources such as Facebook, Twitter, LinkedIn, and easily find his or her tracking so that you can view your goals. The best help to fight evil here is Foursquare. Because anyone can find the location data and the exact timestamp there. The accuracy of this method is also very high. The location data contained in the database used for analysis is collected by triangulation of cell phone towers, which is very inaccurate, and the time stamp can be accurate for several hours. This combination produced excellent results. In addition, you may find that the uniqueness of these movement tracks is low due to the inaccuracy of the database data, and you can easily eliminate these errors by using more track points.