Android OS
Android OS: The Android operating system is an open-source platform developed by Google for mobile devices. While security is a component of the OS, Android is known for its wide app ecosystem, user customization, and integration with various Google services. Security features within Android include app sandboxing, Google Play Protect, and periodic security updates.
Anomaly Detection
Anomaly Detection: A technique used in security to identify unusual patterns or behaviors that may indicate a potential threat. This could involve statistical methods, machine learning algorithms, or other techniques to establish a ‘normal’ baseline and then identify deviations from this baseline. Anomaly detection can be used in many areas of security, from network monitoring […]
ActiveX
ActiveX: A software framework developed by Microsoft that allows for the creation of interactive web-based applications. It is commonly used in Internet Explorer and other web browsers to provide enhanced functionality and interactivity. Examples of ActiveX controls include video players, PDF viewers, and web-based games. Due to security concerns and the advent of newer technologies, […]
Anomaly
Anomaly: Refers to any event, behavior, or state that deviates from an established baseline or norm. In the context of security, an anomaly could indicate a potential security incident, such as unusual network traffic, abnormal user behavior, or unexpected changes in system configuration. Anomalies aren’t necessarily malicious or negative, but they can be indicative of […]
Address Space Layout Randomization (ASLR)
Address Space Layout Randomization (ASLR): A security technique that randomly arranges the positions of key data areas of a program—including the base of the executable and position of libraries, heap, and stack—in a process’s address space. By doing so, it makes it harder for an attacker to predict target addresses, thus mitigating the risk of […]
Anonymization of data
Anonymization of data: The process of removing or obfuscating personally identifiable information from a dataset in such a way that the individuals whom the data describes remain anonymous. Techniques for data anonymization might include data masking, pseudonymization, and data shuffling. The goal is to protect individual privacy, especially in cases where data is shared or […]