Non-relational database
Non-relational database: A type of database that does not use a traditional tabular structure to store data. It is used in big data and NoSQL projects to store and process large amounts of data in a flexible, scalable way. Examples include MongoDB, Cassandra, and HBase.
Network-Based IDS (NIDS)/Network-Based IPS (NIPS)
Network-Based IDS (NIDS)/Network-Based IPS (NIPS): Network-Based Intrusion Detection Systems (NIDS) are security solutions that monitor network traffic to detect suspicious activity and potential security breaches. Upon detection, NIDS generates alerts for further investigation. Network-based intrusion Prevention Systems (NIPS) go a step further by actively blocking or mitigating the detected threats in real time, often integrating […]
Linear cryptanalysis
Linear cryptanalysis: Linear cryptanalysis is a method for breaking symmetric cryptographic algorithms by creating linear approximations to describe the behavior of the block cipher. By analyzing input and output bits, cryptanalysts can find correlations that may lead to uncovering the secret key. It is a powerful tool for evaluating the strength of encryption algorithms.
Log Analysis
Log Analysis: The process of examining log files to identify patterns, detect anomalies, and discover useful information about activities within a system, network, or application. It’s often used for troubleshooting, performance monitoring, and security incident detection. With the help of log analysis tools, organizations can detect unusual behavior, identify security incidents, and respond to threats […]
Log management
Log management: The process of collecting, storing, and analyzing logs generated by various devices and systems on a network to monitor activity, detect security threats, and troubleshoot issues. Examples include logs from firewalls, intrusion detection systems, and operating systems, with compliance to legal and regulatory requirements.
Log reviews
Log reviews: The process of regularly reviewing logs to identify potential security threats and anomalies. It is used to monitor network activity and identify trends and patterns that may indicate a security breach. Examples include reviewing firewall logs for suspicious traffic patterns and system logs for unauthorized access attempts.