IRIS scanner | Breaking Cybersecurity News | The Hacker News

Samsung recently launched its new flagship smartphones, the Galaxy S8 and Galaxy S8 Plus, with both Facial and IRIS Recognition features, making it easier for users to unlock their smartphone and signing into websites. We already knew that the Galaxy S8's facial unlock feature could be easily fooled with just a simple photograph of the device owner, but now hackers have also discovered a simple way to bypass the iris-based authentication, which Samsung wants you to think is unbeatable. All it took for German hacking group Chaos Computer Club (CCC) to break the Galaxy S8's iris-recognition system was nothing but a camera, a printer, and a contact lens. The white hat hacking group also published a video showing how to defeat Samsung's iris scanner. Video Demonstration — Bypassing Iris Scanner The process was very simple. The CCC group simply used the night mode setting on a Sony digital camera to capture a medium range photo of their subject. Since the iris...

Biometric security systems that involve person's unique identification (ID), such as Retinal, IRIS, Fingerprint or DNA, are still evolving to change our lives for the better even though the biometric scanning technology still has many concerns such as information privacy, and physical privacy. In past years, Fingerprint security system , which is widely used in different applications such as smartphones and judicial systems to record users' information and verify person's identity, were bypassed several times by various security researches, and now, IRIS scanner claimed to be defeated . Don't worry! It's not like how they do it in movies, where an attacker needs to pull authorized person's eye out and hold it in front of the eye scanner. Instead, now hackers have finally found a simple way to bypass IRIS Biometric security systems using images of the victims. The same security researcher Jan Krissler , nicknamed Starbug , from the famous Chaos Co...

In recent years, artificial intelligence (AI) has begun revolutionizing Identity Access Management (IAM), reshaping how cybersecurity is approached in this crucial field. Leveraging AI in IAM is about tapping into its analytical capabilities to monitor access patterns and identify anomalies that could signal a potential security breach. The focus has expanded beyond merely managing human identities — now, autonomous systems, APIs, and connected devices also fall within the realm of AI-driven IAM, creating a dynamic security ecosystem that adapts and evolves in response to sophisticated cyber threats. The Role of AI and Machine Learning in IAM AI and machine learning (ML) are creating a more robust, proactive IAM system that continuously learns from the environment to enhance security. Let's explore how AI impacts key IAM components: Intelligent Monitoring and Anomaly Detection AI enables continuous monitoring of both human and non-human identities , including APIs, service acc...