Application Analysis of Artificial Intelligence in Computer Network Technology

Artificial Intelligence (AI) is a kind of intelligent behavior similar to human being which helps human being to participate in dangerous and complicated work directly. The effective application of computer network technology has changed people's production and life style, and technological innovation has paid more attention to intelligence and humanity, leading to that artificial intelligence has become a development trend. This paper analyzes the general situation of artificial intelligence and its application and future development in computer network technology, hoping to provide help for related work

The journey from 5G towards 6G

This paper gives an overview of the journey from 5G towards 6G evolution. The 5G has been built across three main application verticals as defined by ITU, namely: Enhanced Mobile Broadband, Massive Machine Type Communications and Ultra-reliable Low Latency Communications (URRLC). To support these verticals, 5G has defined the following enablers: Massive MIMO, cloudification of network infrastructure, network automation, network slicing and edge cloud computing. It is expected that 5G will provide flexibility in terms of openness, mobility, programmability and agility and robustness in a standardized manner. The journey towards 6G will describe the limitations of 5G technologies and outlines the technology enablers for 6G. These enablers include smooth integration and interworking of Non-Terrestrial Networking technologies (NTN), use of Reconfigurable Intelligent Surfaces (RIS) and use of AI to orchestrate network and cloud resources. Additionally, the paper will give an overview of 6G research initiatives at both regional and international level

Intelligent Management and Efficient Operation of Big Data

This chapter details how Big Data can be used and implemented in networking and computing infrastructures. Specifically, it addresses three main aspects: the timely extraction of relevant knowledge from heterogeneous, and very often unstructured large data sources, the enhancement on the performance of processing and networking (cloud) infrastructures that are the most important foundational pillars of Big Data applications or services, and novel ways to efficiently manage network infrastructures with high-level composed policies for supporting the transmission of large amounts of data with distinct requisites (video vs. non-video). A case study involving an intelligent management solution to route data traffic with diverse requirements in a wide area Internet Exchange Point is presented, discussed in the context of Big Data, and evaluated.Comment: In book Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, IGI Global, 201

La seguridad en redes SDN y sus aplicaciones

Introduction: The review article is the product of the research on Security in SDN networks and their applications, developed at the District University in 2020, presenting the latest advances, that have been made in security. Problem: The security weaknesses that SDN networks have had, due to being a new architecture. This has not allowed traditional networks to be replaced.   Objective: To carry out a review of the state of the art of SDN networks, focusing research on the security of the control layer and its advances. Methodology: The descriptive method is implemented, consulting databases such as Scopus, IEEE and ScienceDirect, using the following search criteria: SDN networks, security in SDN networks, applications with SDN networks and OpenFlow protocol. It is shown as a research sample: the Asian, European and American continents with years of research from 2014 to 2020. Results: Great advances have been made in terms of security for SDN networks, which allows us to see an early solution to the weaknesses that it currently faces.   Conclusion: SDN networks will solve all the challenges they face and will be consolidated as a solid and reliable architecture.   Originality: an important focus is taken on the security of SDN networks and the great development that has occurred in this regard is evident.   Limitations: SDN networks are a new architecture, so their development has been very little and advances in security have been significantly affected.Introducción: El artículo de revisión es producto de la investigación Seguridad en redes SDN y sus aplicaciones, desarrollada en la Universidad Distrital en el año 2020, presentando los últimos avances que se han logrado en seguridad. Problema: Las debilidades en seguridad que han tenido las redes SDN debido a ser una arquitectura nueva, esto no ha permitido que se reemplacen las redes tradicionales. Objetivo: realizar una revisión del estado del arte de las redes SDN enfocando la investigación la seguridad de la capa de control y sus avances. Metodología: se emplea el método descriptivo, se consultaron bases de datos como Scopus, IEEE y ScienceDirect, utilizando los siguientes criterios de búsqueda: SDN networks, security in SDN networks, applications with SDN networks y OpenFlow protocol, se tomó como muestra de investigación a los continentes asiático, europeo y americano con años de investigación desde el año 2014 hasta el año 2020. Resultados: se han desarrollado grandes avances en seguridad para las redes SDN, lo que permite ver una pronta solución a las debilidades que afronta en la actualidad. Conclusión: las redes SDN lograran resolver todos los retos a los que se enfrentan y se consolidara como una arquitectura sólida y confiable. Originalidad: se realiza un enfoque importante en la seguridad de las redes SDN y se evidencia el gran desarrollo que se ha presentado en este aspecto. Limitaciones: las redes SDN son una arquitectura nueva por lo que su desarrollo ha sido muy poco y los avances en seguridad se vieron afectados significativamente

Modernization of Manufacturing with Cybersecurity at the Forefront

With the proliferation of Industrial Control Systems (ICSs), manufacturing processes have improved over the last 30 years, however, the organizational focus to securely exchange and process information to/from integrated systems has been consistently lacking. These environments continue to be susceptible to security vulnerabilities, despite history [15] showing that cybersecurity exposures in manufacturing have largely gone unaddressed and continue to rise [52]. This study evaluates cybersecurity challenges in the industry and proposes recommendations for practical and fiscally responsible defense-in-depth cybersecurity protections for manufacturing environments. The business operating model, how ICSs became pervasive, as well as the major components that enable the operational technology (OT) were evaluated. With an understanding of the traditional network architecture for the industry [37], the rapidly evolving challenges facing the industry were examined. These challenges are impactful to the traditional and slow to change manufacturing operating model that has not focused on the necessary cyber protections for their OT environments. In addition, the industry is now facing game-changing technological concepts such as advanced manufacturing and Industry 4.0 that bring new complex challenges and cyber threats, unfamiliar to most in the industry. This is all underpinned by an organizational divide where the personnel most knowledgeable with the modern technology and cyber risks, in the majority of cases, are not responsible for the OT architecture and security. These headwinds impact an industry which spends the least on IT and cyber security than any other industry, globally [22]. The cyber risks and challenges in the industry are diverse, spanning technological and organizational competencies, stemming from purpose built components which operate in an ecosystem where cybersecurity is an afterthought. As a means to close the gap, practical and reasonable recommendations to address these problems are discussed; some specific and unique to the manufacturing industry while others are fundamental applications discussed with a manufacturing industry lens, which are commonly ignored due to perceived complexity, cost or simply lack of awareness. Lastly, a number of these recommendations were selected for further evaluation and implementation; challenges, approach, benefits and outcomes are shared showing measureable improvements to the cybersecurity posture of the organization.Master of ScienceComputer and Information Science, College of Engineering & Computer ScienceUniversity of Michigan-Dearbornhttps://deepblue.lib.umich.edu/bitstream/2027.42/147433/1/49698122_CIS699 - Mangano Thesis - Modernization of Manufacturing with Cybersecurity at the Forefront - Final 121018-v4.pdfDescription of 49698122_CIS699 - Mangano Thesis - Modernization of Manufacturing with Cybersecurity at the Forefront - Final 121018-v4.pdf : Thesi

Moving target defense for securing smart grid communications: Architectural design, implementation and evaluation

Supervisory Control And Data Acquisition (SCADA) communications are often subjected to various kinds of sophisticated cyber-attacks which can have a serious impact on the Critical Infrastructure such as the power grid. Most of the time, the success of the attack is based on the static characteristics of the system, thereby enabling an easier profiling of the target system(s) by the adversary and consequently exploiting their limited resources. In this thesis, a novel approach to mitigate such static vulnerabilities is proposed by implementing a Moving Target Defense (MTD) strategy in a power grid SCADA environment, which leverages the existing communication network with an end-to-end IP Hopping technique among the trusted peer devices. This offers a proactive L3 layer network defense, minimizing IP-specific threats and thwarting worm propagation, APTs, etc., which utilize the cyber kill chain for attacking the system through the SCADA network. The main contribution of this thesis is to show how MTD concepts provide proactive defense against targeted cyber-attacks, and a dynamic attack surface to adversaries without compromising the availability of a SCADA system. Specifically, the thesis presents a brief overview of the different type of MTD designs, the proposed MTD architecture and its implementation with IP hopping technique over a Control Center–Substation network link along with a 3-way handshake protocol for synchronization on the Iowa State’s Power Cyber testbed. The thesis further investigates the delay and throughput characteristics of the entire system with and without the MTD to choose the best hopping rate for the given link. It also includes additional contributions for making the testbed scenarios more realistic to real world scenarios with multi-hop, multi-path WAN. Using that and studying a specific attack model, the thesis analyses the best ranges of IP address for different hopping rate and different number of interfaces. Finally, the thesis describes two case studies to explore and identify potential weaknesses of the proposed mechanism, and also experimentally validate the proposed mitigation alterations to resolve the discovered vulnerabilities. As part of future work, we plan to extend this work by optimizing the MTD algorithm to be more resilient by incorporating other techniques like network port mutation to further increase the attack complexity and cost