Snooping on smartphones' accelerometer and gyroscope readings can reveal PIN codes entered for credit card purchases. Snooping by examining one's posture joins a long list of eavesdropping techniques digital technology has brought us in recent years. He suggested that blurring of body or shoulder contours in Zoom videos could disrupt the ability of hackers to determine the contents of messages. Certain typing styles, such as hunt-and-peck, result in significant upper hand movements (not just fingers or wrist) between keystrokes, than others," making it easier to discern the contents of texts. "The joint movements associated with keystrokes following the initial keystroke depends primarily on the user's typing style, e.g., hunt-and-peck, touch-typing, or hybrid. He noted that a user's typing style also can affect the results. With long hair obstructing a clear view of the shoulders, accuracy plummeted. Other factors contribute to lower accuracy levels, he said, including whether long sleeve or short sleeve shirts were worn, and the length of a user's hair. ![]() However, in uncontrolled environments, accuracy dropped to only one out of every five words being correctly identified. In a controlled setting, with specific chairs, keyboards and webcam, Jadiwala said he achieved an accuracy rate of 75 percent. We then comprehensively evaluate both the keystroke/typing detection and text inference frameworks using data collected from a large number of participants. He says the "text inference framework that uses the keystrokes detected from the video … predict words that were most likely typed by the target user. He then created a software program that linked the movements to a list of commonly used words. ![]() Given the widespread use of high-resolution web cams during conference calls, Jadiwala was able to record and analyze slight pixel shifts around users' shoulders to determine if they were moving left or right, forward or backward. Specifically, they focused on the movement of their shoulders and arms to extrapolate the actions of their fingers as they typed. Murtuza Jadiwala, a computer science professor heading the research project, said his team was able to identify the contents of texts by examining body movement of the participants. Researchers at the University of Texas discovered they could determine what Zoom participants are typing in private side chats during Zoom meetings. This week, a new problem has been added to the list. Worse-there's no official record for how many times this has happened-one hapless well-known American network TV commentator last month ended his Zoom conference call by touching himself in places one doesn't normally display in public-before realizing he had not shut his camera off. Malicious animated GIFs placed in Zoom chats carried harmful code into meetings. More serious issues arose as "Zoom-bombing" troublemakers have sneaked into meetings and uttered rude comments or displayed inappropriate images. ![]() More embarrassing are those comments made by participants mistakenly believing their microphones were off. Some are minor, such as participants complaining about their unflattering appearance due to poor lighting or high-resolution images detailing zits unplanned appearances by infants, pets or parents and distracting noises and sounds from one's household. But progress in the digital world is often accompanied by problems.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |