Distance-aware Data Forwarding Protocol for Named Data Mobile Ad-hoc Network (NDMANET)

A trust management scheme to secure mobile information centric networks

Software Defined Networking (SDN) is the more reliable and flexible networking architecture. Due to its programmable nature, it is getting more popular in every research domain of Computing. Moreover, Named Data Networking (NDN) architecture is also more beneficial and emerging technology of Internet. NDN focuses on the content name instead of its location and replaces the usage of IP addresses. Lot of research has been made to integrate SDN and NDN due to their benefits of better management-ability, flexibility, less complexity, centralized control, decoupled control and data planes etc. Mobile Ad Hoc Network (MANET) is also getting more popular due to huge advancement in Mobile communication devices. Combining SDN and NDN in MANET will resolve lots of problems (i.e. forwarding, mobility, management etc.) which are difficult to tackle with single architecture. Broadcast Storm is always a challenging issue in Ad Hoc networks like MANET. In this paper, we proposed a Controller based Selective Forwarding (CSF) scheme by merging SDN, NDN and MANET to overcome the Broadcast Storm Problem (BSP) and other issues caused by BSP. CSF is evaluated using different simulation parameters which shows superiority over the Native ND-MANET in reference to BSP.

Nowadays, Internet is mostly used to access content and users are also interested in content, instead of location. Information-Centric Networking (ICN) has drawn substantial consideration over past few years because its appearance introduced a new potential Internet architecture (deploying extensive cache structure to distribute and deliver information). Though ICN has undoubtedly become a promising Future Internet architecture to solve current host-centric Internet problems, conventional ICN design still has its own drawbacks. These include caching, routing, etc., particularly mobility issue and energy-efficiency problem due to additional energy consumption for Content Routers’ caching capability. In order to address the energy flaw and enhance the mobility performance of ICNArchitecture, in this article, we have designed, evaluated and proposed a wireless Information Centric Networking (ICN) based access model within the context of Intelligent Transport System (ITS) for ICN standardization procedure. We take into consideration the fact that number of mobile devices increases rapidly day by day as well as the public transportation (e.g. train, bus, etc) becomes more popular nowadays. Besides, mobile users may ask for different content interests via Internet during the period of time when they are on public transport vehicle. We then propose a wireless communication topology in ICN for the ITS by utilizing the smart scheduling algorithm with proactive-caching based strategy to deal with possible and practical situations of commuters (mobile content users). In our scheme, the dedicated content provider proactively sends appropriate segments of requested content (based on chunk-level structure of content) to expected proximity Aggregation content nodes located at neighbor stations (future attachment points) on the moving path of public transportation vehicle. This working scheme substantially enhances the mobile user’s quality of experience and network performance in ICN. Moreover, the proposed ICN based system adapts the network nodes to their optimized network utilization values according to content popularity by conducting cross-layer optimization. This mechanism provides mobile users more reliable and effective Green Information and Communication Systems (ICS) when they travel with public transportation. Therefore, the proposal integrates Green networking into ICN by combining the benefits of innovated rate-adaptivity and proactive-caching based schemes for achieving highly scalable, reliable and energy-efficient network performance in future transportation Information-centric communication system with data-awareness. In addition, we identify that there are currently various ICN-based models and emphasize the need of an official ICN international standard for wireless communication in general and transportation system in particular. Following, by evaluating the proposal, we show that the proposed cross-layer wireless content access model in ICN for ITS is a promising and feasible contribution for the standardization process of ICN.

Named Data Networking (NDN) is an implementation of Information-Centric Networking (ICN) that has emerged as a promising candidate for the Future Internet Architecture (FIA). In contrast to traditional networking protocols, NDN’s focus is on content, rather than the source of the content. NDN enables name-based routing and location-independent data retrieval, which gives NDN the ability to support the highly dynamic nature of mobile networks. Among other important features, NDN integrates security mechanisms and prioritizes protecting content over communication channels through cryptographic signatures. However, the data verification process that NDN employs may cause significant delays, especially in mobile networks and vehicular networks. This aspect makes it unsuitable for time-critical and sensitive applications such as the sharing of safety messages. Therefore, in this work, we propose NDN-BDA, a blockchain-based decentralized mechanism that provides a faster and more efficient data authenticity mechanism for NDN-based vehicular networks.

This article describes how the named data networking (NDN) has recently received a lot of attention as a potential information-centric networking (ICN) architecture for the future Internet. The NDN paradigm has a great potential to efficiently address and solve the current seminal IP-based IoT architecture issues and requirements. NDN can be used with different sets of caching algorithms and caching replacement policies. The authors investigate the most suitable combination of these two features to be implemented in an IoT environment. For this purpose, the authors first reviewed the current research and development progress in ICN, then they conduct a qualitative comparative study of the relevant ICN proposals and discuss the suitability of the NDN as a promising architecture for IoT. Finally, they evaluate the performance of NDN in an IoT environment with different caching algorithms and replacement policies. The obtained results show that the consumer-cache caching algorithm used with the Random Replacement (RR) policy significantly improve NDN content validity in an IoT environment.

Disasters are uncertain occasions that can impose a drastic impact on human life and building infrastructures. Information and Communication Technology (ICT) plays a vital role in coping with such situations by enabling and integrating multiple technological resources to develop Disaster Management Systems (DMSs). In this context, a majority of the existing DMSs use networking architectures based upon the Internet Protocol (IP) focusing on location-dependent communications. However, IP-based communications face the limitations of inefficient bandwidth utilization, high processing, data security, and excessive memory intake. To address these issues, Named Data Networking (NDN) has emerged as a promising communication paradigm, which is based on the Information-Centric Networking (ICN) architecture. An NDN is among the self-organizing communication networks that reduces the complexity of networking systems in addition to provide content security. Given this, many NDN-based DMSs have been proposed. The problem with the existing NDN-based DMS is that they use a PULL-based mechanism that ultimately results in higher delay and more energy consumption. In order to cater for time-critical scenarios, emergence-driven network engineering communication and computation models are required. In this paper, a novel DMS is proposed, i.e., Named Data Networking Disaster Management (NDN-DM), where a producer forwards a fire alert message to neighbouring consumers. This makes the nodes converge according to the disaster situation in a more efficient and secure way. Furthermore, we consider a fire scenario in a university campus and mobile nodes in the campus collaborate with each other to manage the fire situation. The proposed framework has been mathematically modeled and formally proved using timed automata-based transition systems and a real-time model checker, respectively. Additionally, the evaluation of the proposed NDM-DM has been performed using NS2. The results prove that the proposed scheme has reduced the end-to-end delay up from 2 % to 10 % and minimized up to 20 % energy consumption, as energy improved from 3 % to 20 % compared with a state-of-the-art NDN-based DMS.

A Lightweight Forwarding Strategy for Named Data Networking in Low-end IoT

Information-Centric Networking (ICN) takes advances in content distribution, thanks to the in-network caches which naturally reduce the delay of upper-layer applications. Though attaining high dissemination efficiency, the in-network caching amplifies the challenges in the consistency of cached copies. Since ICN decouples data from the locations, it's hard for ICN to synchronize the caches efficiently once an update occurs, which could lead to potential issues of correctness and security. Herein, we propose a novel cache consistency mechanism based on role division, namely RD-CCM, to achieve strong consistency in ICN. RD-CCM divides network nodes into several roles and applies the Lease model among specific routers to maintain synchronization with high efficiency. We set up an adaptive parametric model to determine the Lease duration of RD-CCM, which balances the cost between storage and communication. Further, we optimize RD-CCM based on content popularity and Invertible Bloom Filter (IBF), diminishing the overhead of synchronization. We simulate RD-CCM on ndnSim to evaluate its performance, compared against Time- To-Live (TTL) and Polling-Every- Time (PET), which are employed in Named Data Networking (NDN). RD-CCM reduces the average hop counts by 32.5% compared against NDN-PET and reduces the cache staleness rate by 59.2% compared against NDN-TTL.

Named Data Networking (NDN), an emerging communication model in the content centric networks, has recently presented a solid framework for the future Internet. The NDN exploits content name instead of host name (IP address) and content caching. These features make NDN particularly efficient in networks with intermittent connectivity and dynamic topologies such as mobile ad hoc networks (MANETs). Due to the structure of NDN nodes, design of forwarding strategies has a vital impact on the network performance. In this paper, we propose a new forwarding strategy: redundancy elimination forwarding (REF). In REF, the NDN node structure and the operation of the data structures are modified. These modifications improve network performance in terms of throughput, overhead and resource requirements. REF strategy is simulated in different scenarios based on ndnSIM and the results demonstrate that it provides robust performance for various environments.

Named Data Networking (NDN) presents strong bandwidth benefits on edge networks because its in-network caching design is probably fit for popularity and locality. However, separate NDN edge regions cannot be efficiently connected over IP backbone world, slowing down the deployment of NDN edges. Due to the difference of stateful NDN and stateless IP in forwarding principles, the coexistence of two protocols is difficult and challenging in the network layer. In this paper, we propose iGate, an NDN gateway design for tunneling over IP world, to bridge two kinds of protocols in the same layer. iGate translates protocols between stateful NDN and stateless IP by two temporary tables. It considers many factors about gateway efficiency, like table tunning, minimal NDN integration, TCP/UDP alternatives. We evaluate the performance of iGate with a real implementation on Linux and the results show that it can achieve more than 85.03% translation efficiency and less than 29% protocol conversion delay compared with IP VPN which uses the typical tunneling technology over IP network. Our work presents a practical and highly-efficient solution to assemble NDN edges into IP world, and can be applied to other similar Information-Centric Networking (ICN) designs.

O Livro de Minicursos do XXXIX Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2021) contém os minicursos selecionados para apresentação na edição do evento realizada online, no período de 16 a 20 de agosto de 2021, na cidade de Uberlândia/MG. O Livro dos Minicursos do SBRC tem sido tradicionalmente utilizado como material de estudo de alta qualidade por alunos de graduação e pós-graduação, bem como por profissionais da área. O principal objetivo dos Minicursos do SBRC é oferecer treinamento e atualização de curto prazo em temas normalmente não cobertos nas estruturas curriculares e que possuem grande interesse entre acadêmicos e profissionais. No livro são abordados temas atuais e de interesse da comunidade, como sistemas de software emergentes, mobilidade e segurança em redes centradas em informação, virtualização de funções de rede na Internet das Coisas (IoT), redes vestíveis e sistemas ciber-humanos e ainda aprendizado federado aplicado à IoT. No primeiro capítulo, intitulado “Emergent Software Systems: Theory and Practice”, os autores apresentam o conceito de Sistemas de Software Emergentes. A abordagem do Software Emergente visa reduzir o esforço inicial para criar soluções autônomas; suporta a criação de sistemas totalmente adaptáveis capazes de aprender autonomamente sobre a estrutura do sistema e seu ambiente operacional sem nenhum conhecimento pré-definido. No segundo capítulo, “Revisitando as ICNs: Mobilidade, Segurança e Aplicações Distribuídas através das Redes de Dados Nomeados”, os autores apresentam uma introdução e revisão dos fundamentos das Information-Centric Networks (ICN) e em seguida a arquitetura Named Data Networking (NDN). Os autores apresentam as principais questões relacionadas à mobilidade, segurança e aplicações distribuídas através por demonstrações e atividades práticas com ambientes previamente configurados. No terceiro capítulo, “Virtualização de Funções de Rede na IoT: Um Panorama do Gerenciamento de Desempenho x Segurança”, trata do uso de Network Function Virtualization (NFV) em IoT do ponto de vista de gerenciamento, desempenho e segurança da rede. O texto apresenta questões e o estado da arte relacionados ao desempenho do uso de NFV na detecção e mitigação de ameaças em redes específicas de IoT. O quarto capítulo, “Das Redes Vestíveis aos Sistemas Ciber-Humanos: Uma Perspectiva na Comunicação e Privacidade dos Dados”, aborda a rápida evolução que vem ocorrendo desde os primórdios das redes vestíveis até a pesquisa de ponta em nanorredes. Essa evolução rápida fundamenta a construção dos sistemas ciberfísicos e ciber-humanos que possuem aplicações em diversas áreas. Os autores descrevem a necessidade de explorar as vulnerabilidades e desafios que essas redes possuem em relação à privacidade dos dados e resiliência de seus serviços e apresentam uma discussão, demonstrando através de exemplos práticos essas fragilidades e um levantamento do estado da arte de propostas acadêmicas para a proteção da privacidade e resiliência de seus serviços. No quinto e último capítulo, “Aprendizado Federado aplicado à Internet das Coisas”, os autores apresentar os principais fundamentos do Aprendizado Federado (Federated Learning – FL) abrangendo as ferramentas e passos necessários para o desenvolvimento de aplicações e serviços voltadas à IoT. Os conceitos abordados incluem uma introdução à Aprendizagem de Máquina (centralizada e distribuída), o estado-da-arte em FL, uma visão geral dos trabalhos existentes, os desafios e as perspectivas futuras para o avanço da área. Os cinco capítulos abordam de forma ampla temas atuais da comunidade, sendo uma obra útil para pesquisadores e profissionais da área de redes de computadores e sistemas distribuídos.

The Short Courses Book of 39th Brazilian Symposium on Computer Networks and Distributed Systems (SBRC 2021) contains the short courses selected for presentation in the online edition of the event, from August 16 to 20, 2021, in the city of Uberlândia/MG. The main objective of the SBRC Short Courses is to offer short-term training and updating on topics not typically covered in curricular structures and which are of great interest among academics and professionals. The Book has traditionally been used as high-quality study material by undergraduate and graduate students and professionals in the field. The Short Courses covers current topics of interest to the community, such as emerging software systems; mobility, security in information-centric networks; virtualization of network functions in the Internet of Things (IoT); wearable networks, and cyber-human systems; and federated learning applied to IoT. In the first chapter, entitled “Emergent Software Systems: Theory and Practice,” the authors present the concept of Emerging Software Systems. The Emerging Software approach aims to reduce the initial effort to create standalone solutions; it supports fully adaptable systems capable of autonomously learning about the system structure and its operating environment without any pre-defined knowledge. In the second chapter, “Revisitando as ICNs: Mobilidade, Segurança e Aplicações Distribuídas através das Redes de Dados Nomeados”, the authors present an introduction and review of the fundamentals of Information-Centric Networks (ICN) and then the Named Data Networking (NDN) architecture. The authors present the main issues related to mobility, security, and distributed applications through demonstrations and practical activities with previously configured environments. The third chapter, “Virtualização de Funções de Rede na IoT: Um Panorama do Gerenciamento de Desempenho x Segurança”, deals with the use of Network Function Virtualization (NFV) in IoT from the point of view of network management, performance, and security. The text presents issues and state-of-the-art related to the performance of NFV in the detection and mitigation of threats in specific IoT networks. The fourth chapter, “Das Redes Vestíveis aos Sistemas Ciber-Humanos: Uma Perspectiva na Comunicação e Privacidade dos Dados”, addresses the rapid evolution that has been taking place from the beginnings of wearable networks to cutting-edge research in nanonetworks. This rapid evolution underlies the construction of cyber-physical and cyber-human systems that have applications in several areas. The authors describe the need to explore the vulnerabilities and challenges that these networks have concerning data privacy and the resilience of their services and present a discussion, demonstrating these weaknesses through practical examples and a survey of the state of the art of academic proposals for privacy protection and resiliency of your services. In the fifth and final chapter, “Aprendizado Federado aplicado à Internet das Coisas”, the authors present the main foundations of Federated Learning (FL), covering the tools and steps necessary for the development of IoT applications and services. The concepts covered include an introduction to Machine Learning (centralized and distributed), the state-of-the-art in FL, an overview of current work, challenges, and future perspectives for advancing the field. The five chapters broadly address current community issues, making them practical work for researchers and professionals in computer networks and distributed systems.

Research in Information-Centric Networking (ICN) and Named Data Networking (NDN) has produced many protocol designs and software prototypes, but they need to be validated and evaluated by real usage on the Internet, which is also critical to the realization of the ICN/NDN vision in the long run. This article presents the first Internet-scale adaptive video streaming service over NDN, which allows regular users to watch videos using NDN technology with no software installation or manual configuration. Since mid-2019, the official NDN website [1] has started using our service to deliver its videos to Internet users over the global NDN testbed, showcasing the feasibility of NDN. We conduct real-world experiments on the NDN testbed to validate the proper implementation of the client, network, and server sides of the proposed system and also evaluate the performance of our video streaming service.

Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP)-based communication to content-based communication. In ICN, the content-retrieval process employs names that are given through different naming schemes such as hierarchical, flat, attribute, and hybrid. Among different ICN architectures, Named-Data Networking (NDN) has gained much interest in the research community and is actively being explored for the Internet of Things (IoT) and sensor networks, and follows a hierarchical naming format. NDN protocol follows a pull-based communication model where the content consumer gets content irrespective of the location of the content provider. The content provider in NDN and sensor networks can be considered to be a distributed database that monitors or controls the environment and caches the sensed data or controls information into their memory. The proposed Name-INtegrated Query (NINQ) framework for NDN-based IoT provides a flexible, expressive, and secure query mechanism that supports content retrieval as well as control and configuration command exchange among various nodes in a smart building. Different use cases are presented in this paper that expand on the behavior of proposed query framework in different scenarios. Simulation results of data collection and exchange of control commands show that proposed query framework significantly improves Interest Satisfaction Rate (ISR), Command Satisfaction Rate (CSR), energy efficiency, and average delay. Moreover, it is evident from the simulation results that proposed query framework significantly reduces the number of transmissions in the network in both data collection and exchange of control command scenarios, which improves the network performance.

The Internet of Medical Things (IoMT) is the network of medical devices, hardware infrastructure, and software applications used to connect the healthcare information technology. Massive traffic growth and user expectations cause challenges in the current exhausting models of IoMT data. To reduce the IoMT traffic, Information Centric Network (ICN) is a suitable technique. ICN uses persistent naming multicast communication that reduces the response time. ICN in IoMT provides a promising feature to reduce the overhead due to the distribution of commonly accessed contents. Some parameters such as energy consumption, communication cost, etc., influence the performance of sensors in the IoMT network. Excessive and unbalanced energy consumption degrades the network performance and lifetime. This article presents a framework called Dynamic Cache Scheme (DCS) that implements energy-efficient cache scheduling in IoMT over ICN to reduce network traffic. The proposed framework establishes a balance between the multi-hop traffic and data item freshness. The technique improves the freshness of data; thus, updated data are provided to the end-users via the effective utilization of caching in IoMT. The proposed framework is tested on important parameters, i.e., cache-hit-ratio, stretch, and content retrieval latency. The results obtained are compared with the state-of-the-art models. Results’ analysis shows that the proposed framework outperforms the compared models in terms of cache-hit-ratio, stretch, and content retrieval latency by 59.42%, 32.66%, and 18.8%, respectively. In the future, it is intended to explore the applicability of DCS in more scenarios and optimize further.