Distributed Data Processing Network: A computational network structure in which data processing tasks are divided and managed across multiple geographically dispersed computers or nodes. Each node in the network works on a portion of the overall task, and the nodes may communicate with each other to share resources, balance load, and provide redundancy. This type of network is designed to improve data processing efficiency and reliability, as it can continue to function even if some of its components fail. Distributed data processing networks are integral to the functioning of large-scale, high-availability systems and are commonly used in cloud services, content delivery networks, and large-scale computing platforms.

Distributed Denial-of-Service (DDoS) Attack: A malicious attempt to disrupt normal traffic to a targeted server, service, or network by overwhelming the target or its surrounding infrastructure with a flood of internet traffic. DDoS attacks are performed using multiple compromised computer systems as sources of attack traffic, which could include computers and other networked resources such as IoT devices. The influx of incoming messages, connection requests, and malformed packets can cause the target system to slow down or crash, denying service to legitimate users. DDoS attacks are a powerful weapon on the Internet and can be difficult to defend against, requiring sophisticated countermeasures.

Distributed Network Protocol (DNP3): Distributed Network Protocol 3 (DNP3) is an open, standards-based protocol used primarily for communications between various types of data acquisition and control equipment. It is widely used in utilities and industrial automation systems to support the management of smart grids, SCADA systems, and other telemetry and control applications. DNP3 facilitates reliable and secure communication for monitoring and controlling networked devices.

Distributed System: A networked computational model in which software and data components residing on multiple machines work in harmony to accomplish tasks or processes. This model optimizes the use of resources, enhances reliability and scalability, and enables the simultaneous processing of tasks, leading to faster completion times and efficient system utilization.

Diverse Routing: A technique implemented in networking to ensure that data can follow multiple distinct paths between sender and receiver. Having multiple possible routes mitigates the risk of network failure or congestion due to a single point of failure, increasing the reliability and availability of data transmission and reducing potential downtimes.

Divestitures: The process of selling or otherwise disposing of an asset, subsidiary, or investment. In data management, this involves the secure transfer or disposal of digital assets like data and software, ensuring sensitive data is protected and compliance with laws and regulations is maintained.