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About 10,000 papers for “Intelligent Network”

Intelligent network

Amato, A., Faraci, F, Centro Studi e Laboratori Telecomunicazioni S.p.A. (CSELT), Turin (Italy) · OpenGrey (Institut de l'Information Scientifique et Technique) · 1993

Cited by 0

Intelligent Network Video

Fredrik Nilsson · 2008

Offering ready access to the security industry‘s cutting-edge digital future, Intelligent Network Video provides the first complete reference for all those involved with developing, implementing, and maintaining the latest surveillance systems. Pioneering expert Fredrik Nilsson explains how IP-based video surveillance systems provide better image q

Cited by 23

Intelligent ubiquitous network

TONG Xiao-yu, ZHANG Yun-yong, XU Lei · SHILAP Revista de lepidopterología · 2011

The first overview of ubiquitous computing,cloud computing and ubiquitous network technology was made.Then a new concept of Intelligent ubiquitous network,its concrete realization of the distributed intelligent open system and business data system were proposed.Finally,the network topology,architecture and key technologies of DIOS were discussed in detail.Intelligent ubiquitous network is the trend of future telecommunication network and can provide "everywhere,all-powerful" service.

Cited by 0Open access

Intelligent Network Orchestration

Alex Mathew · 2023

The flawless operation of contemporary telecommunication networks depends on the difficult and essential process of orchestrating intelligent networks. Network orchestration is becoming even more crucial due to the increasing complexity of network infrastructures and the growth in data transfer volumes across networks. Intelligent network orchestration uses cutting-edge algorithms and machine-learning approaches to enhance security and network performance. In order to increase security and network performance, the study suggests a novel paradigm for network orchestration. Reinforcement learning, deep learning, and genetic algorithms are all combined to accomplish this. This method identifies and mitigates security threats and optimizes network architecture and routing. The article includes a thorough block diagram to show the various parts of the process. A step-by-step flow chart is also included to direct the installation procedure. The approach has been put to the test, and the findings demonstrate that by lowering network latency and boosting network security, it successfully enhances network performance. This technique might substantially influence network management and security and could establish new benchmarks for ongoing network performance and security.

Cited by 0

Intelligent Map Network

Lee, Jeffrey Man Wai, See, Linus Yat-fung, Jia, Mi et al. · Texas ScholarWorks (Texas Digital Library) · 2008

Cited by 0

Intelligent network sniffer

Sopan Talekar, Vaishali S. Tidake, P. V. Shinde · 2011

The traditional Intrusion Detection System (IDS) has limitations that it cannot detect emerging cyber threats. The goal of a Network Sniffer using data mining is to detect malicious traffic. This technique monitors all incoming and outgoing traffic. The deviation of the monitored traffic from the normal profile is measured. Various different implementations of data mining technique based on the algorithms such as entropy, ID3 algorithm are used for measuring traffic profile deviation. This technique automatically detect the different categories of users like normal user, Spy, Unauthorized user, Intruder etc. based on the rule table, which is not in the traditional IDS. It can become a standard component in security infrastructures as it allows network administrators to detect policy violations for insider as well as external attackers.

Cited by 0

The Intelligent Network

Cooperative Black, Gray Hole, Attacks Mobile et al. · 1998

In this paper, we propose an algorithm to detect a chain of cooperative malicious node in ad-hoc network that disrupts transmission of data by feeding wrong routing information along with the detection algorithm. We also propose a mechanism to detect and remove the black and gray hole attacks. Our technique is based on sending data in terms of equal but small sized blocks instead of sending whole of data in one continuous stream. The flow of message is monitored independently at the neighborhood of both source and destination. The result of monitoring is gathered by a backbone network of trusted nodes. Our algorithm takes O(n) time on average to find the chain of malicious nodes which is better than earlier O(n 2) time bound for detecting a single black hole network.

Cited by 0

Intelligent network management contingency

Dominique Ansiaux · Journal of securities operations & custody · 2015

Ensuring the safety of assets against adverse events is a key service requirement for custodian banks today and a primary concern for clients and regulators. This paper examines the benefits of using a ‘contingency sub-custody network’, with secondary providers running live business in parallel with a primary sub-custody provider in each market. This approach is found to greatly improve operational stability when compared to the traditional ‘shadow network’ method, whereby secondary custody agreements are in place, but business is not run through the secondary provider. A real case study is used to demonstrate the effectiveness of this set-up, and the main implications for establishing and maintaining such a network are explored. The paper concludes that the benefits of custodians running live contingency networks are considerable: assets are better protected from market disruptions, clients are better able to manage disruption and crisis, and regulatory requirements concerning asset safety are met or even surpassed.

Cited by 0

Intelligent network traffic management

O.E. Mohanram, G. Duguay · 2002

In the 1990s intelligent networks (INs) will carry and deliver multimedia services, personal communication services (PCS), and other diverse and complex services. These services require multiple triggering within the service switching points (SSP), multiple queries to the service control points (SCPs), and a reliable signaling network. In this environment the risk of overloading the network elements (e.g., SSPs, SCPs) are real and managing the traffic in this environment is a challenge. Overloads may be caused by general widespread loads above engineered levels or focused originating or terminating high-intensity calling (or messaging) levels. The traffic overloads experienced may also be secondary effects of network system failures or major equipment outages. This paper discusses the various overload controls on the network elements and the network management via operations systems (OSs). It analyzes various scenarios and proposes solutions for the network elements and the OSs for managing overloads.

Cited by 0

Intelligent And Secure Network

International Research Journal of Modernization in Engineering Technology and Science · 2025

In recent years, the demand for high-speed, secure, and intelligent communication systems has driven significant advancements in optical fiber networks.This study investigates the integration of intelligent systems and security protocols into optical fiber communication to enhance performance, reliability, and data protection.A hybrid approach combining machine learning algorithms for network optimization with advanced encryption techniques for secure data transmission was adopted.The network architecture was designed to support dynamic bandwidth allocation, intrusion detection, and fault prediction using AI-based models.Simulation results demonstrate improved throughput and increased resilience against cyber threats compared to traditional optical networks.The analysis confirms that incorporating intelligence not only optimizes network resources but also enhances its adaptability.Furthermore, the proposed security framework ensures end-to-end data confidentiality and integrity without compromising transmission speed.This paper concludes that intelligent and secure optical fiber communication networks are essential for supporting future digital infrastructure, particularly in critical sectors such as defense, healthcare, and finance.

Cited by 0Open access

The ultimate intelligent network?

S. Piggott · Electronics & Communications Engineering Journal · 1990

An ‘intelligent’ telecommunications network is a network that is capable of providing flexible control of its services and capabilities to both network operator and network user. The evolution to intelligent telecomunications networks began some thirty years ago with the introduction of stored programme control exchanges into the public switched network. Since then the introduction of digital switching techology, common channel signalling and network databases have advanced the concept. The evolutionary path now being followed by many network operators will lead from the universal voice telephone service we have today to a universal information service of tomorrow in which the public switched network will be able to provide any combination of voice, data and image with maximum convenience and economy.— Truly the ultimate intelligent network?

Cited by 0

The Intelligent Network market

Michael Johnson · 1997

Summary form only given, as follows. Wireless service providers are deploying Intelligent Network technology in their networks to facilitate mobility management and to offer a variety of enhanced services to subscribers. Technical Marketing Services has recently completed a study showing that spending on Wireless Intelligent Networks is likely to be a good investment. The results of this study and some predictions on the future of the industry and major industry players will be reviewed.

Cited by 0

Intelligent network management systems

U. Apel · 2005

This paper introduces model based reasoning techniques to the different applications within and at different levels of TMN. Fault management as one of the five FCAPS (Fault-, Configuration-, Accounting-, Performance- and Security Management) applications has been chosen for exemplary application of those techniques. Within a RACE (Research in Advanced Communications for Europe) project an implementation of model based reasoning has been developed and successfully applied to fault management of different existing networks, Future work will have to be performed to fully integrate and apply these concepts to all FCAPS areas for a fully automatic provisioning of TMN functionality.

Cited by 1