If there is a necessity to divide traffic on the basis of TCP ports, NAT makes it possible to map local addresses with one external address using TCP load distribution function.

NAT functioning

The NAT technology defines, as it is stated in the RFC 1631 standard, the ways of IP address translation, used in one network into another network addresses.

There exist three basic principles of address translation: static, dynamic and masquerading.

Static Network Address Translation

With the help of this concept, NAT can organize translation between the same class networks. (For example, when each of two networks contain one address (mask – 255.255.255.255). This strategy is the simplest, because the translation can be described by a couple of simple logical transformations.

Let us cite an example of address translation from two Class C networks – 194.24.90 and

195.60.3.While passing through NAT to the sender’s address field, the packet, addressed from the host 194.24.90.13 will contain a change in the IP header from 194.24.90.13 to 195.60.3.13.

Dynamic Address Translation

Dynamic translation is necessary when the number of addresses (internal and external) being translated is different, however, dynamic translation is sometimes used when static translation does not work. The number of intercommunicating hosts will be limited, in any case, by the number of free (available) addresses on the NAT interface.

Dynamic NAT is more complicated, because it requires to keep track of intercommunicating hosts and possibly even of connections, in case when the information (content) must be modified at Layer 4 (TCP, for example).

For example it is necessary to translate dynamically all IP addresses in Class B network 138.201 into addresses of Class C network 190.200.112. Then, each new connection receives an address from Class C network if there are available addresses there.

This technology, in contrast with static translation, introduces a new notion – NAT table. It is a rendition table of internal addresses and NAT-interface addresses (hereinafter, NAT addresses)

Masquerading (NAPT, PAT)

The Port Address Translation is another case of dynamic translation. Here, we have only one external address behind which, internal addresses “are hidden” – there can be as many internal addresses as possible. In contrast to the original dynamic translation, PAT does not mean that there can be only one connection at a time. To multiplex the number of connections, TCP port information is used by this masquerading. Thus, only the number of ports available limits number of simultaneous connections.

Version: 1.0

Page. 29 of 95

Page 29
Image 29
Black Box Version 1.0 user manual NAT functioning, Static Network Address Translation, Dynamic Address Translation

Version 1.0 specifications

Black Box Version 1.0 represents a significant advancement in the realm of data analytics and artificial intelligence. Designed to streamline processes and enhance decision-making, this platform leverages cutting-edge technologies to deliver insightful solutions across various industries.

One of the main features of Black Box Version 1.0 is its robust data processing capabilities. The platform employs a combination of machine learning algorithms and advanced statistical methods to analyze vast amounts of data in real-time. This allows organizations to gain actionable insights quickly, empowering them to make informed decisions based on accurate information.

Another standout characteristic of Black Box Version 1.0 is its user-friendly interface. The platform is designed to cater to both technical and non-technical users, ensuring that everyone can navigate its functionalities with ease. This accessibility encourages broader adoption within organizations, facilitating a data-driven culture.

The technology stack powering Black Box Version 1.0 is another highlight. It utilizes cloud computing, enabling scalability and flexibility in data storage and processing. By harnessing the power of the cloud, organizations can scale their operations seamlessly, accommodating growth without the burden of extensive infrastructure investment.

Furthermore, Black Box Version 1.0 incorporates natural language processing (NLP) tools, allowing users to interact with the platform using conversational language. This feature enhances the user experience by simplifying data queries, making it easier for users to extract relevant insights without needing to understand complex coding or database structures.

Integration capabilities are also a core feature of Black Box Version 1.0. The platform is designed to easily connect with various existing systems, including CRMs, ERPs, and other data sources. This interoperability facilitates a unified approach to data management, helping organizations to eliminate data silos and maximize the value of their data.

Finally, Black Box Version 1.0 prioritizes data security and compliance. With increasing regulatory scrutiny, the platform adheres to stringent data protection standards, ensuring that sensitive information remains secure while enabling organizations to focus on their core business strategies.

In summary, Black Box Version 1.0 is a comprehensive platform that combines advanced data analytics, machine learning, and user-centric design. Its main features, such as real-time data processing, user-friendly interfaces, powerful cloud architectures, integration abilities, and strong security measures, make it a vital tool for organizations looking to harness the power of their data and drive informed decisions.