Service Discovery Protocol Research Articles

Trusted Computing and Privacy Protection of Computer Internet of Things Nodes Based on Deep Fuzzy Control of Dynamic Learning Rate

Under the background of mobile Internet of Things, this paper focuses on the solutions of trusted computing and privacy protection of Internet of Things nodes. Based on the research of existing mainstream service discovery protocols and the deep fuzzy control theory of dynamic learning rate, this paper proposes a trusted computing algorithm for Internet of Things nodes in mobile Internet of Things,which takes into account service quality and user preference.This paper combines the depth fuzzy control model of IoT nodes proposed before, uses a normal data set to train it, and then makes it generate and play the prediction residuals. It will be further used to build a privacy protection model and realize the anomaly detection of privacy protection data in the Internet of Things. This paper designs and implements a trusted computing system using the Internet of Things platform,which has been tested. Experimental results show that, compared with previous elastic matching algorithms, the precision and recall of the new algorithm proposed in this paper are improved.

Exploring the Role of Wi-Fi Direct's Service Discovery Protocol in Forming Wireless Collaboration Networks: A Scoping Review

The increasing ubiquity of mobile devices and the Internet has become a hallmark of modern society, yet challenges persist in ensuring reliable communication networks during unforeseen disruptions, such as pandemics, war, or natural disasters. Despite the advancement of Wi-Fi technology, the development of a comprehensive model for temporary communication networks based on Wi-Fi interfaces during these disruptions remains inconclusive. The temporary and infrastructure-less wireless network created by mobile devices is referred to as a Wireless Collaboration Network (WCN). To assess the extent to which wireless protocols have been leveraged in forming Wireless WCN, a scoping review was conducted. This review aimed to provide a comprehensive overview of the existing literature, specifically focusing on the Service Discovery (SD) protocol of Wi-Fi Direct within the Mobile Ad Hoc Network (MANET) domain. Our investigation delved into solutions developed by researchers in this domain and the various metrics employed to evaluate the performance of these solutions. The scoping review protocol encompassed nine distinct steps, ranging from formulating research questions to synthesizing results. The review process involved examining three major databases: IEEE Xplore, ACM Digital Library, and Scopus, with the assistance of Mendeley for data organization and filtering. In total, our search identified 186 records across these databases. After rigorous screening, which included removing duplicates, irrelevant articles, and inaccessible content, we selected 35 articles for comprehensive review. These reviewed articles were then summarized and presented in a table, offering valuable insights into article titles, objectives, measurement parameters, techniques employed, and the noteworthy contributions of each work. The table serves as an invaluable resource for researchers in the field, facilitating a deeper understanding of the research landscape and enabling easier access to the collective knowledge within this domain.

Enabling Space-Aware Service Discovery Model in Home Networks through a Compatible Extension to mDNS/DNS-SD

The advent of the smart home, fueled by the rapid emergence of tiny embedded IoT devices and sensors, brings the consideration of space and location information to the forefront of service discovery. In a smart home environment, spaces often have composite capabilities and complex structures. Since residents may have varying preferences based on their location within different spaces, traditional service discovery results may be suboptimal without considering the spatial context. This paper introduces a seamless approach to integrate space and location information with mDNS/DNS-SD, a widely utilized service discovery protocol in home networks. We provide a formal specification for this approach, develop a prototype, and perform a series of experiments to evaluate the efficacy and potential of the proposed method.

Implementing Service Discovery Protocols in Home Network Systems

Home networking systems are gaining increasing research attention in the recent period due to the huge efforts implied by major home appliance companies in order to equip future home appliances with networking services and capabilities. Service discovery protocols being an essential backbone in home network system development receive the majority of research efforts to provide robust and efficient home networks.
 In this paper the most popular service discovery protocols are reviewed in a comparative study discussing the advantages and disadvantages of each of them over the others.

An Evaluation of Ubiquitous Service Discovery and Remote Management in Ad-Hoc Networks

Due to the rise of ubiquitous computing, issues around the discovery of new services have become a hot topic in the academic community. This is because futuristic ubiquitous computing frameworks as well as unsupervised Ad hoc systems will require service discovery. Automatically discovering network services and their characteristics, as well as dynamically advertising their persistence, are both possible with service discovery. Multiple service discovery technologies, including Service Discovery Protocols (SDP) runners, Universal Plug and Play (UPnP), Service Location Protocol (SLP), and Jini, have been suggested. In this paper, we detail the process of service discovery and control using Ubiquitous Remote Manager (URM), a system for remote and autonomous management of home gateways that allows for more system simplicity and finer grained command of the underlying network in a ubiquitous computing setting. Ubiquitous Service Discovery (USD) is a key component of the infrastructure of the smart homes of the future. USD's goal is to locate the most suitable service, given the user's preferences and needs, in a pervasive and extensive setting.

Large-scale empirical evaluation of DNS and SSDP amplification attacks

Reflection-based volumetric distributed denial-of-service (DDoS) attacks take advantage of the available to all (open) services to flood and possibly overpower a victim’s server or network with an amplified amount of traffic. This work concentrates on two key protocols in the assailants’ quiver regarding DoS attacks, namely domain name system (DNS) and simple service discovery protocol (SSDP). Our contribution spans three axes: (a) We perform countrywide IP address scans (probes) across three countries in two continents to locate devices that run open DNS or SSDP services, and thus can be effectively exploited in the context of amplification attacks, (b) we fingerprint the discovered devices to derive information about their type and operating system, and (c) we estimate the amplification factor of the discovered reflectors through a dozen of diverse, suitably crafted DNS queries and a couple of SSDP ones depending on the case. The conducted scans span fifteen months, therefore comparative conclusions regarding the evolution of the reflectors population over time, as well as indirect ones regarding the security measures in this field, can be deduced. For instance, for DNS, it was calculated that the third quartile of the amplification factor distribution remains more than 30 for customarily exploited queries across all the examined countries, while in the worst case this figure can reach up to 70. The same figures for SSDP range between roughly 41 and 73 for a specific type of query. To our knowledge, this work offers the first full-fledged mapping and assessment of DNS and SSDP amplifiers, and it is therefore anticipated to serve as a basis for further research in this ever-changing and high-stakes network security field.

Performance evaluation and comparison study of adaptive MANET service location and discovery protocols for highly dynamic environments

A critical requirement in Mobile Ad Hoc Networks (MANETs) is its ability to automatically discover existing services as well as their locations. Several solutions have been proposed in various communication domains which could be classified into two categories: (1) directory based, and (2) directory-less. The former is efficient but suffers from the amount of control messages being exchanged to maintain all directories in an agile environment. However, the latter approach attempts to reduce the amount of control messages to update directories, by simply sending broadcast messages to discover services; which is also a non-desirable approach in MANETs. This research work builds on top of our prior work (Nazeeruddin et al. in IFIP/IEEE international conference on management of multimedia networks and services, Springer, Berlin, 2006)) where we introduced a new efficient protocol for service discovery in MANETs (MSLD); a lightweight, robust, scalable, and flexible protocol which supports node heterogeneity and dynamically adapts to network changes while not flooding the network with extra protocol messages—a major challenge in today’s network environments, such as Internet of Things (IoT). Extensive simulations study was conducted on MSLD to: (1) initially evaluate its performance in terms of latency, service availability, and overhead messages, then (2) compare its performance to Dir-Based, Dir-less, and PDP protocols under various network conditions. For most performance metrics, simulation results show that MSLD outperforms Dir-Based, Dir-less, and PDP by either matching or achieving high service availability, low service discovery latency, and considerably less communication overhead.

온도 및 습도 원격 모니터링 및 제어를 위한 소형 스마트플러그 개발

We developed a smart plug that can be used for temperature and humidity monitoring and control. The proposed smart plug measures the temperature and humidity as well as controls the AC power connected to a load such as heater, fan, and humidifier. It transmits the sensor data to an external IoT server via Wi-Fi networks. Several smart plugs in the same Wi-Fi network can be clustered to share their sensor data directly using the simple service discovery protocol. The external IoT server transmits the received sensor data to a smartphone application for the users, who can set the control environment using the application program. The smartphone application displays the data received from the server and transmits the user setting information to the smart plug via the IoT server. This device can be set to perform automatically or manually and control the humidity or temperature by directly turning on and off the 220 V AC relay according to the user setting.

Optimizing the Bluetooth Low-Energy Service Discovery Process.

Bluetooth Low Energy (BLE), a short-range and low-power communication protocol, has gained a lot of popularity in recent years. A part of BLE is the Generic Attribute Profile (GATT) which defines the data communication between two devices. During the initial connection between two BLE devices a discovery of services, characteristics and descriptors is required for the GATT to operate. During this discovery phase, the device is unusable as it builds the foundation for further data transactions. When unoptimized, this discovery step can take up to a few seconds, leading to frustrations for the end user or delays in some applications. In this paper, we aim to find guidelines on how to optimize this discovery process. A simulation framework was developed, able to simulate and analyze the packet exchange of the service discovery, while taking link layer parameters into account. The results show that minimizing the connection interval and maximizing the data length leads to the lowest discovery times. Practical experiments in real environment, however, show that the theoretically calculated times are not reachable due to processing overhead and retransmissions. Theoretical results also show that the current BLE discovery process, even after optimizations, has a lot of overhead. To fix the problems with the current protocol, this paper proposes a new Rapid Service Discovery Protocol, which enables a fast and efficient service discovery.

Novel AODV based service discovery protocol for MANETS

Service discovery is an inevitable process in most of the network. Mobile AdHoc network (MANET) being self-sustained and resource constrained, sharing of resources and service discovery is very essential. A service discovery protocol designed for a fixed network is not suitable for AdHoc network because of the constraint in the resources, mobility of nodes and the lack of centralized infrastructure. Therefore there arises a need to design protocols specific to MANET. A protocol designed for service discovery at the application layer in Mobile AdHoc Network would generate the same amount of control messages during service discovery as would a routing protocol during route discovery. To ease the network congestion it would be beneficial to integrate service discovery with route discovery. This would discover the services and route simultaneously. Therefore the AdHoc On-demand Distance Vector (AODV) routing protocol being a reactive routing protocol was modified to include service discovery so that as the services are discovered, a route to the service provider is also available. During service discovery if multiple servers are offering the same service, there arises a need to select the best one. We propose a ranking mechanism that selects an optimal server by considering the route and server specific metrics. We also propose an algorithm that performs service discovery by taking care of Expanding Ring Search of AODV protocol so as to be able to discover multiple servers. The proposed approach has been evaluated, and it was observed that the storage overhead is reduced by 50%, average Service Discovery Latency was reduced and the Service Discovery Ratio was improved by 16%.

Countermeasures against large-scale reflection DDoS attacks using exploit IoT devices

With the of utilizing IoT devices increasing recently, such devices are being infected with malicious codes and being used to carry out DDoS attacks. In particular, there have been cases of large-scale DDoS reflex attacks of 100GB or more using IoT devices such as wireless sharing devices, CCTVs and smart cars. There is a vulnerability that is being exploited for attacks through Simple Service Discovery Protocol (SSDP) to search for IoT devices. This study examines different types of IoT devices used in DDoS attacks, and conducts experiments in which reflection DDoS attacks are carried out on IoT devices in order to measure the attack threat levels. This study also suggests methods that IoT service operators can employ to remove IoT device vulnerabilities, as well as effective countermeasures that Internet service operators can apply to address reflection DDoS attacks that exploit IoT devices.

Proactive discovery protocol with security enhancement for D2D communication system

With the increase in mobile traffic and the band-width demand, Device-to-Device (D2D) communication has gained tremendous interest by the researchers, cellular operators and equipment manufacturers. However, D2D communication has been limited to study the converge services at cell edge. D2D users that located outside the cellular network coverage haven’t received enough attention. Some of the problems faced in this case are discovering process of neighbor user equipment (UE) and services, as well as designing suitable and secure protocols for D2D communication. Toward these problems, in this paper, we propose security enhancement for D2D communication based on modified elliptic curve cryptography (MECC), which provides greater efficiency in computational overhead, key sizes and bandwidths for user’s authentication applied on proactive routing protocol for neighbor and service discovery. We study Diffie–Hellman, ElGamal and MECC techniques to improve service of D2D users at cell edge. Results show that the proposed scheme can strength the secrecy with less control overhead and can increase the robustness in a wide range of scenarios for service discovery in D2D networks.

A Design of Hybrid Appliance Local Network (HALN) Communication Architecture

Recently, appliance networks have been widely adopted in many home applications. Usually, an appliance network requires a server. However, as the number of network users increases, there is not only the problem of costs due to extension of the server and the increase in power consumption, but also the problem that the functions of appliances are restricted when the connection to a server is unavailable. This paper presents a hybrid appliance local network (HALN) communication architecture to tackle the problems with server-based appliance networks. The HALN architecture is designed to remove and/or minimize the utilization of servers by offering the capability of communicating directly with other appliance products. The proposed architecture can also be integrated with existing server-based communication architectures. The HALN architecture is based on the simple service discovery protocol (SSDP) and HTTP protocol (RESTful HTTP server/client architecture) technologies. The effectiveness of HALN is experimentally demonstrated using a smartphone and a set of Linux-based Wi-Fi modems on which the functions that can be provided by typical appliances are implemented. Using the proposed architecture, the communication reliability is also improved by 1.6% as compared with that of an existing server-based communication architecture.

A Systematic Overview and Comparative Analysis of Service Discovery Protocols and Middlewares

Context is major source of communication, where information is gathered easily from user context due to the progress of smart and context aware systems. Even, service directory also supports the systems to response the requests, sent through client. In this paper, the authors overviews context aware systems, their sensing capabilities in location or beyond location along with COIVA (a context aware system). Eight discovery protocols along with their functionalities (such as DEAPspace, DNS-SD, JXTA, RDP, LDAP, CORBA Trader, UDDI and Superstring) are discussed and compared to evaluate the performance and efficiency of system. In addition, six middleware (such as CAMPUS, CASF, SeCoMan, CoCaMAAL, BDCaM, and FlexRFID) are compared to evaluate factors (such as Architectural style, Context abstraction/Reasoning level, Context awareness level, Contextual adaptation approaches, Decision making, and Programming model). The authors further categorized them into sub categories discussed in Section 4 and named CoCaMAAL as better middleware as compared to others.

System Design Approach For Service Oriented Communication Using Autosar Methodology

AbstractAutomotive radars and cameras form the backbone of self‐driving cars, Active safety and Advanced Driver Assistant Systems (ADASs). Streaming sensor, camera and audio data between sensors and Electronic control units (ECUs) requires huge data exchange. Traditionally data communication happens in a signal‐oriented approach where the sender transmits data irrespective of receiver's consumption needs on the network. With introduction of Scalable Service‐Oriented MiddlewarE over Internet Protocol ‐Service Discovery (SOME/IP‐SD), which is a Service oriented communication, the sender transmits the data only when the receiver on network needs the data. The advantage is that the network and connected nodes are not loaded by unnecessary data. This paper describes the system level design approach for the serialization of large data (>1500 bytes) over SOME/IP‐Service Discovery protocol using Autosar methodology in automotive Ethernet in‐vehicle networks. The system design is done using PREEVision tool and the bench evaluation is performed using Freescale hardware and Vector Autosar Basic Software stack. The outcome of this paper is to measure the end to end subscription latency between Client and Server ECUs.

AODV based Service Discovery Protocol with Two Hop Neighbor Information

AdHoc networks are self-sustained infrastructure less networks which survives on mutual cooperation by sharing resources. To share the resources as services it is important to be able to advertise available services and discover the required services. Service discovery that is performed in application layer can be benefitted when performed at network layer since it reduces the control message. Therefore the message format of AODV protocol was extended to include service discovery and service advertisements. We propose a method to extend the hello messages of AODV protocol further to include the service information available with the 2-Hop neighbors. To reduce the storage overhead every node would only store the availability of a particular service. Thereby to access the services available at a 2- hop distance the process of service discovery is not required only a uncast message can be sent. This approach has been able to reduce the service acquisition latenc.y

Enhanced Service Discovery Protocol for MANET by Effective Cache Management

With the increasing pervasiveness of the mobile nodes, service discovery has become inevitable. In the resource constrained mobile nodes, caching is being used to reduce the access cost. The enhanced service discovery protocol presented in this paper is a combination of cache placement, cache discovery, cache consistency and replacement algorithms. The overheard service information is cached by the coordinator nodes of each geographical area to reduce the discovery delay. A light weight cache discovery algorithm that uses a minimum spanning tree is proposed. The cache consistency is maintained in a soft state. Cache replacement is done based on a weight value that is calculated using the recency, frequency and cost factors. An M/G/1/∞ non-preemptive queuing model is proposed to analyse the cache replacement performance. The extensive simulation results performed to demonstrate the effectiveness of the proposed enhanced service discovery protocol in terms of reduction in the service discovery delay and number of cache replacements. The replacement scheme proposed has increased the cache hit ratio.

Constructing a secure hacking-resistant IoT U-healthcare environment

There has been an increasing demand of work that required high level of computing power in IoT or establishment of server in IoT environment due to development of computing power. Excessive diagnosis has recently been a significant issue in the field of medicine. Excessive diagnosis issue is expected to be significantly reduced if establishing the easily configurable IoT server, communication with medical devices, and communication among hospitals by transmitting medical results to users. With the advancement of hacking technology, many hackers are interested in medical information and medical infrastructure, and the Information Security Management System (ISMS) is expanding in Korea. A number of medical ISMS projects are discussed, based on ISO 27791 standards derived from ISO 27001 standards. Large hospitals in South Korea have a variety of platforms that misrepresent personal information, and various platforms deal with sensitive medical information, but small and medium-sized hospitals use platforms that are not considered legal considerations.In this paper, we intend to establish a legal information sharing platform, which is legally considered legally limited and is responsible for the safety of the medical information.In the IoT server with limited resources, light-weighted and user-friendly protocols are frequently utilized over those that derive traffic and consume much resource. Under these circumstances, this study is intended to suggest IoT network that medical devices are able to create ubiquitous environment for users by utilizing simple service discovery protocol as a protocol provided without imposing much burden on limited resources and highly secured extensible messaging and presence protocol.

Pervasive Device and Service Discovery Protocol in Interoperability XBee-IP Network

The Internet of Things (IoT) communication protocol built over IP and non-IP environment. Therefore, a gateway device will be needed to bridge the IP and non-IP network transparently since an IoT user is more likely to concern on the service provided by the IoT device, rather than the complexity of the network or device configuration. Since today ubiquitous computing needs to hide the architectural level from it users, the data & information centric approach was proposed. However, the data & information centric protocol is having several issues and one of them is device and service discovery protocol over IP & non-IP network. This paper proposed a pervasive device and service discovery protocol that able to work in interoperability of the IP and non-IP network. The system environment consists of a smart device with XBee Communication as the non-IP network that will send the device and service description data to the IP network using WebSocket. The gateway will able to recognize the smart device and sent the data to the web-based user application. The user application displayed the discovered devices along the services and able to send the control data to each of the smart devices. Our proposed protocol also enriched with the smart device inoperability detection by using keep-alive tracking from the gateway to each of the smart devices. The result showed that the delay for the user application to detect the smart device in the XBee network is around 10.13 ms delay, and the service average delay requested by the user application to each of the devices is 2.13 ms.

Movement prediction models for vehicular networks: an empirical analysis

In recent years, the role of vehicular networks has become increasingly important for the future of Intelligent Transportation Systems, as they are useful for providing safety, assistance to drivers, and traffic control management. Many vehicular network applications such as routing, mobility management, service discovery, and collision avoidance protocols would benefit from possessing vehicles’ prior location information to improve their performance. However, the rapid mobility of vehicles and the degree of error in positioning systems create a challenging problem regarding the accuracy and efficiency of any location prediction-based model for vehicular networks. Therefore, a number of location prediction techniques has been proposed in the literature. In this paper, we study and compare the accuracy and effectiveness of the following location-based movement prediction models: Kalman filter, Extended Kalman filter (EKF), Unscented Kalman filter (UKF), and Particle filter for vehicular networks. We compare the performances of these prediction techniques with respect to different mobility models, and provide some insights on their capabilities and limitations. Our results indicate that Particle filter outperforms all other predictors with respect to location error. In addition, EKF and UKF demonstrated an increase in efficiency of more than 50% when additional measurements input were integrated with the predictors.