Collection of Evidence
Collection of Evidence: The process of collecting evidence involves systematically gathering data and information that can help investigate and resolve a security incident or breach. This can include log files, network traffic data, copies of malicious software, or user access records. Proper handling and storage of collected evidence is crucial to maintaining its integrity and […]
Collision – Cryptography
Collision – Cryptography: In the context of cryptography, a collision refers to an event where two different input values yield the same hash output in a hash function. Such collisions undermine the cryptographic assurance that hash values are unique, thereby challenging data integrity and security. Robust cryptographic systems aim to minimize the likelihood of such […]
Command control (C&C) server
Command control (C&C) server: A computer or network that is used by attackers to remotely control and manage the activities of a network of infected computers, known as a botnet. C&C servers are used to send commands, receive data, and coordinate the activities of the botnet. Examples of C&C servers include DarkComet, Mirai, and TrickBot.
Commercial Off-The-Shelf (COTS) Software
Commercial Off-The-Shelf (COTS) Software: A pre-packaged software that is readily available for purchase and use by organizations. It is used in businesses and government agencies to reduce the cost and time of software development. Examples include Microsoft Office and Adobe Photoshop.
Common Vulnerabilities and Exposures (CVE)
Common Vulnerabilities and Exposures (CVE): A publicly available, free-to-use list of reported vulnerabilities in software and firmware. Each CVE entry includes an identification number, a description, and at least one public reference. Maintained by the MITRE Corporation, CVE provides a standardized method for sharing information about vulnerabilities, allowing organizations to better protect their systems against […]
Clustering of Pseudorandom Numbers
Clustering of Pseudorandom Numbers: This refers to the undesirable pattern in pseudorandom number generation where values are not evenly distributed but rather appear grouped or “clustered” together. Such patterns can compromise the security of cryptographic systems that rely on pseudo-randomness, making them vulnerable to predictability and potential attacks.