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Artificial Intelligence and Networking
Published in Vikas Kumar Jha, Bishwajeet Pandey, Ciro Rodriguez Rodriguez, Network Evolution and Applications, 2023
Vikas Kumar Jha, Bishwajeet Pandey, Ciro Rodriguez Rodriguez
AI will also help in managing a network, operations, and maintenance, as well as protecting the network beyond simply the scope of designing the network. Network monitoring is done with the help of algorithms that continuously keep track of anomalous traffic buildups to look for any malicious activities, distributed denial-of-service attacks, and hacking attempts. Supposedly, with the powerful algorithms of AI and ML, the network security is assumed to be at very high level. The reason being that AI will make network more intelligent enough to make itself secured, robust, dynamic, and agile to quickly isolate faulty or compromised sections and do needful actions to protect itself. AI will facilitate a network to find faster ways of issue resolution and more advanced methods of anticipating threats to keep the network clean. The real-time traffic handling, traffic prediction, traffic distribution though available multipath in the networks to avoid any futuristic traffic chocking or any interruption will be managed in a better way with AI. In that way, it will be very helpful to the network operations team who monitors a network in 24 × 7 environment to make the network operational all the time and minimum or less impacting network downtime. Also, with better traffic prediction of what is supposed to be a big event, it can make enable network managers better prepared for big events with the best possible optimization of traffic through the network.15.3.1 Intent-Based Networking
Intelligent Agents in Telecommunication Networks
Published in Witold Pedrycz, Athanasios Vasilakos, Computational Intelligence in Telecommunications Networks, 2018
Costas Tsatsoulis, Leen-Kiat Soh
Network monitoring and accounting are necessary to measure the performance of networks so that networks can be designed and improved over time for performance, efficiency, and cost. However, due to network delays the use of a centralized server makes measurements inaccurate or not timely, leading to network performance measurements that are not reliable or are difficult to collect. Instead of remotely polling network components, mobile agents can be dispatched to perform local analyses remotely (Bieszczad and Pagurek 1998). This improves the accuracy of the information, does not consume local resources permanently because of the agents’ mobility, and makes the maintenance of the monitoring and accounting system easier since mobile agents are smaller and distributed in design and implementation.
Computer Networking
Published in Mohssen Mohammed, Al-Sakib Khan Pathan, Automatic Defense Against Zero-day Polymorphic Worms in Communication Networks, 2016
Mohssen Mohammed, Al-Sakib Khan Pathan
Traffic filtering basically is a combination of various strategies and policies that are used for filtering network traffic. However, there are some tools that help for better handling and categorizing of network traffic. These are known as network monitoring tools, network analyzers, or network traffic-filtering tools. Some commonly used tools are Ethereal, EtherDetect, and Wireshark. There are many other tools that may be released soon or are available on the market. Searching the Internet may provide more knowledge about the latest tools and trends.
Foundations of network monitoring: Definitions and applications
Published in Quality Engineering, 2021
Nathaniel T. Stevens, James D. Wilson, Anne R. Driscoll, Ian McCulloh, George Michailidis, Cecile Paris, Kamran Paynabar, Marcus B. Perry, Mostafa Reisi-Gahrooei, Srijan Sengupta, Ross Sparks
Network monitoring for physical networks usually refers to systematic processes put in place by their owners/administrators to ensure that all its components operate according to operating specifications and the network as a whole fulfills its function. Taking a computer network as an example, its administrator is interested in identifying in a timely manner crashed, frozen or overloaded servers, failing/failed switches and routers, and so forth. The end goal is to intervene to fix failures or initiate preventive maintenance actions. In the longer term, network monitoring can also aid in capacity planning to upgrade the capabilities of the network, by improving the underlying infrastructure (e.g., install new routing software, or higher throughput switches in a computer network) and also expanding the capacity of the edges (e.g., add lanes in a road network segment). On the other hand, network monitoring for other types of networks usually refers to identifying stable patterns in its characteristics and also transient or long-lasting deviations from them, as well as emerging trends. For example, in a network that captures voting patterns amongst legislators, network monitoring may reveal patterns of ideological cohesion of members of both the same political party and across parties, and also realignments over time. At the technical level, network monitoring relies on techniques of outlier, anomaly and change-point detection.