Explanation/Reference:
Explanation:
Internet security threats/vulnerabilities are divided into passive and active attacks. Examples of passive attacks include network analysis, eavesdropping and traffic analysis. Active attacks include brute force attacks, masquerading, packet replay, message modification, unauthorized access through the Internet or web-based services, denial-of-service attacks, dial-in penetration attacks, e-mail bombing and spamming, and e-mail spoofing.

Hashing is a technique that transforms data into a fixed-length value, called a hash or a digest, that uniquely represents the original data. Hashing can be used to validate the integrity of data communicated between production databases and a big data analytics system by comparing the hash values of the data before and after the communication. If the hash values match, the data has not been altered; if they differ, the data has been tampered with or corrupted. Hashing is a better security control than encrypting, running and comparing the count function, or hosting a digital certificate for this purpose because:
Encrypting in-scope data sets can protect the confidentiality of the data, but not necessarily the integrity.
Encryption algorithms can be broken or bypassed by malicious actors, or encryption keys can be compromised or lost. Moreover, encryption adds overhead to the communication process and may affect the performance of the big data analytics system.
Running and comparing the count function within the in-scope data sets can only verify the number of records or elements in the data sets, but not the content or quality of the data. The count function cannot detect any changes or errors in the data values, such as missing, duplicated, corrupted, or manipulated data.
Hosting a digital certificate for in-scope data sets can provide authentication and non-repudiation for the data sources, but not integrity for the data itself. A digital certificate is a document that contains information about the identity and public key of an entity, such as a person, organization, or device. A digital certificate does not contain or verify the actual data that is communicated between production databases and a big data analytics system.
References:
Ensuring Data Integrity with Hash Codes
Database Security: An Essential Guide
Control methods of Database Security

A warm site has the basic infrastructure facilities implemented, such as power, air conditioning and networking, but is normally lacking computing equipment. Therefore, the availability of hardware becomes a primary concern.

Deep packet inspection (DPI) is a core capability of data loss prevention (DLP) tools that allows the analysis of the content of data packets in transit. This helps detect the unauthorized movement of sensitive data by examining packet-level details.
* Network Traffic Logs (Option A): These provide historical data but do not actively detect data in transit.
* Data Inventory (Option C): Useful for identifying where sensitive data resides but not for monitoring its movement.
* Proprietary Encryption (Option D): Protects data but does not detect unauthorized transmission.
Reference: ISACA CISA Review Manual, Job Practice Area 4: Protection of Information Assets.