Internet Protocol Research Articles

Improving IP Video Surveillance Systems: The Shift to Digital Networks and Security Challenges

In the numerical era, video surveillance schemes have fast evolved from analog technologies to IP-based systems, enabling widespread deployment in various environments such as streets, train stations, workplaces, factories, and homes. The incorporation of intelligent applications like facial recognition, object tracking, and event detection has expanded the utility of surveillance networks, allowing for the management of thousands of cameras across large geographic areas. This change has been facilitated by advancements in Internet Protocol (IP) technology, shifting surveillance from analog systems using coaxial cables to packet-switching systems in IPv6 and IPv4 networks. However, the extensive adoption of IP-based systems has introduced several challenges, including increased vulnerability to cyber attacks, bandwidth demands, processing power requirements, and network security issues. This research discovers the evolution of video surveillance systems, the technical and security challenges posed by IP-based networks, and potential solutions for improving their efficiency and security.

Design of fault tolerant algorithm for network on chip router using field programmable gate array

<p class="Abstract">Many internet protocol (IP) modules are present in contemporary system on chips (SoCs). This could provide an issue with interconnection among different IP modules, which would limit the system's ability to scale. Traditional bus-based SoC architectures have a connectivity bottleneck, and network on chip (NoC) has evolved as an embedded switching network to address this issue. The interconnections between various cores or IP modules on a chip have a significant impact on communication and chip performance in terms of power, area latency and throughput. Also, designing a reliable fault tolerant NoC became a significant concern. In fault tolerant NoC it becomes critical to identify faulty node and dynamically reroute the packets keeping minimum latency. This study provides an insight into a domain of NoC, with intention of understanding fault tolerant approach based on the XY routing algorithm for 4×4 mesh architecture. The fault tolerant NoC design is synthesized on Field programmable gate array (FPGA).</p>

Energy-efficient routing protocol for reliable low-latency Internet of Things in oil and gas pipeline monitoring.

The oil and gas industries (OGI) are the primary global energy source, with pipelines as vital components for OGI transportation. However, pipeline leaks pose significant risks, including fires, injuries, environmental harm, and property damage. Therefore, maintaining an effective pipeline maintenance system is critical for ensuring a safe and sustainable energy supply. The Internet of Things (IoT) has emerged as a cutting-edge technology for efficient OGI pipeline leak detection. However, deploying IoT in OGI monitoring faces significant challenges due to hazardous environments and limited communication infrastructure. Energy efficiency and fault tolerance, typical IoT concerns, gain heightened importance in the OGI context. In OGI monitoring, IoT devices are linearly deployed with no alternative communication mechanism available along OGI pipelines. Thus, the absence of both communication routes can disrupt crucial data transmission. Therefore, ensuring energy-efficient and fault-tolerant communication for OGI data is paramount. Critical data needs to reach the control center on time for faster actions to avoid loss. Low latency communication for critical data is another challenge of the OGI monitoring environment. Moreover, IoT devices gather a plethora of OGI parameter data including redundant values that hold no relevance for transmission to the control center. Thus, optimizing data transmission is essential to conserve energy in OGI monitoring. This article presents the Priority-Based, Energy-Efficient, and Optimal Data Routing Protocol (PO-IMRP) to tackle these challenges. The energy model and congestion control mechanism optimize data packets for an energy-efficient and congestion-free network. In PO-IMRP, nodes are aware of their energy status and communicate node's depletion status timely for network robustness. Priority-based routing selects low-latency routes for critical data to avoid OGI losses. Comparative analysis against linear LEACH highlights PO-IMRP's superior performance in terms of total packet transmission by completing fewer rounds with more packet's transmissions, attributed to the packet optimization technique implemented at each hop, which helps mitigate network congestion. MATLAB simulations affirm the effectiveness of the protocol in terms of energy efficiency, fault-tolerance, and low latency communication.

Implementation of a Lossless Moving Target Defense Mechanism

The contemporary world, dominated by information technologt (IT), necessitates sophisticated protection mechanisms against attacks that pose significant threats to individuals, companies, and governments alike. The unpredictability of human behavior, coupled with the scattered development of applications and devices, complicates supply chain maintenance, making it impossible to develop a system entirely immune to cyberattacks. Effective execution of many attack types hinges on prior network reconnaissance. Thus, hindering effective reconnaissance serves as a countermeasure to attacks. This paper introduces a solution within the moving target defense (MTD) strategies, focusing on the mutation of Internet protocol (IP) addresses in both edge and core network switches. The idea of complicating reconnaissance by continually changing IP addresses has been suggested in numerous studies. Nonetheless, previously proposed solutions have adversely impacted the quality of service (QoS) levels. Implementing these mechanisms could interrupt Transmission Control Protocol (TCP) connections and result in data losses. The IP address mutation algorithms presented in this study were designed to be fully transparent to transport layer protocols, thereby preserving the QoS for users without degradation. In this study, we leveraged the benefits of software-defined networking (SDN) and the Programming-Protocol-Ondependent Packet Processors (P4) language, which specifies packet processing methodologies in the data plane. Employing both SDN and P4 enables a dynamic customization of network device functionalities to meet network users’ specific requirements, a feat unachievable with conventional computer networks. This approach not only enhances the adaptability of network configurations but also significantly increases the efficiency and effectiveness of network management and operation.

Mobile Handoff with 6LoWPAN Neighbour Discovery Auxiliary Communication

The importance of the topic under investigation stems from the burgeoning prominence of the Internet of Things (IoT) paradigm and the consequent imperative to devise and institute an efficacious methodology for neighbour detection that facilitates supplementary connections to mobile nodes. This research primarily aims to elucidate a mobile handover technique aligning with the neighbour discovery paradigm inherent in 6LoWPAN. The methodological framework employed herein amalgamates a systematic analysis of the foundational tenets governing 6LoWPAN communication standards over the IPv6 protocol in the context of IEEE 802.15.4aa personal wireless networks, supplemented with empirical evaluation of message propagation dynamics among discrete nodes of a designated personal wireless network. The findings of this investigation underscore the pre-eminence of the 6LoWPAN networking standard as a prime vehicle for bolstering the dependable communication of IoT's remote entities, contingent upon the utilization of the IPv6 communication protocol. This iteration of the Internet protocol is superior, particularly in surveillance contexts, given its expansive address capacity (128 bits) juxtaposed against its antecedent, the IPv4 protocol (32 bits). The inherent adaptability of this network connection augments the quality of mobile handover, especially when one considers the real-world application of 6LoWPAN's neighbour discovery auxiliary communication standard. The tangible implications of these findings beckon their potential utility in satiating the demands of IoT system users and actualizing the network collaboration ethos intrinsic to the 6LoWPAN communication standard. 

Comparative Analysis of Network Development Local Area Network (LAN) Fiber Optical Cable with Unshielded Twisted Pair (UTP) Cat 6 Cable at SMK Negeri 2 Tasikmalaya

The LAN Network at SMK Negeri 2 Tasikmalaya previously used media UTP Cat5e network with poor performance due to bandwidth UTP Cat5e is only 200 Mb/s, therefore the school choose to replace it network media with fiber optics, with a bandwidth that can reach 1 Gb/s. On the other there is still UTP Cat6 with the same bandwidth of 1Gb/s at a cost installation is lower than fiber optic network installation. Data collection on performance is carried out using the Quality of Service (QoS) approach with the parameters measured, namely Delay, Jitter, Packet loss and Throughput using Wireshark software. Performance of fiber optic and UTP Cat6 networks at SMK Negeri 2 Tasikmalaya in categorize “Good” according to Telecommunications and Internet Protocol Hormonization Over Network (TIPHON) standards. Test results from optical fiber obtained a delay of 2.58 ms, jitter of 2.38 ms, packet loss of 0.254 and throughput of 805.92 Mbps. The test results of the UTP Cat6 cable were obtained delay of 5.59 ms, jitter of 5.21 ms, packet loss of 0.559 and throughput of 623.73 Mbps.

Network_Protocol_Entity_Extraction_Based_on_Few_shot_Learning

Knowledge Graph is a new way of knowledge collections, and building a protocol knowledge graph on RFCs can help us study and analyse network protocol better. Protocol entity extraction is one of the keys to constructing the network protocol knowledge graph.Because RFC (Request For Comments) contains detailed descriptions of basic Internet communication protocols, the protocol entities of the network can be obtained from it. However, the document format and wording are not uniform, which leads to the inability to complete the extraction task of network protocol entities based on traditional rule information extraction methods. Therefore, this paper proposes a network protocol entity extraction method based on Few-Shot Learning. This method can use a very small amount of labeled samples to extract network protocol entities from a large number of unlabeled samples and maintain high recognition accuracy. This method firstly mines as many potential network protocol entities as possible in the RFC document, and secondly performs accurate re-identification of the identified potential network protocol entities. Experiments show that using 5 manually annotated RFC documents to train our model, the accuracy of network protocol entity extraction reaches 88.4%. Compared with the existing methods, this method has higher accuracy and better robustness in terms of network protocol entity extraction, and it also has better identification ability for network protocol entities that have not appeared in the training set.

Chasing spammers: Using the Internet protocol address for detection

AbstractThe proliferation of reviews evaluating different services on social networks and online platforms and their importance in consumer decision‐making has led some unscrupulous individuals to take advantage of the anonymity offered by the Internet to manipulate these reviews and influence customers' decisions. The main objectives of this study are: (1) to test whether spammers usually perform their misdemeanors from the same IP address; (2) to explore whether there are differences between stated sexes in this regard; (3) to detect the main motivations for posting fraudulent reviews; and (4) to determine the motivations for doing so from the same IP address. These objectives were achieved by means of a quasi‐experiment with a sample of 7,192,487 users, and a qualitative investigation in which 37 users who had falsified information were interviewed. The results show that spammers who tend to fake their identity do so from the same IP address and that they tend to be male. Four types of motivation are presented: revenge, entertainment, opportunity for profit, and self‐esteem; as well as a further three to explain the use of the same IP: convenience, limited resources, and complacency.

Blockchain technology in omnichannel retailing: A novel fuzzy large-scale group-DEMATEL & Ordinal Priority approach

Given the advantages of Omni-Channel Retailing (OCR), such as integrating offline and online channels and offering the convenience of online channels with instant fulfillment of offline channels, this study proposed a new method called ‘Fuzzy Large-Scale Group-DEMATEL& Ordinal Priority Approach’ to detect causal relationships between the studied variables and recognize the causal associations while using Blockchain in OCR. This study assumes that the effect of spreading economic shocks through SCs can be significantly greater than the direct effect of disasters. Of the 25 factors evaluated in this study, disintermediation was identified as the most important one, followed by anonymity and security. Besides, the results obtained by the Fuzzy Ordinal Priority Approach (OPA-F) showed that configuration 4 (CF-4) ranks first in OCR. In this configuration, there are two ways to buy, online and traditional, facilitating a flow of information at all levels. Thus, Internet Protocols must be used to ensure the security of shared information. Accordingly, the way of serving each customer is personalized based on the activities performed in all portals. As a result, not only the explicit requests of the customer are answered, but also their implicit interests and needs are guessed.

Distributed Mobility Management Support for Low-Latency Data Delivery in Named Data Networking for UAVs

Named Data Networking (NDN) has emerged as a promising architecture to overcome the limitations of the conventional Internet Protocol (IP) architecture, particularly in terms of mobility, security, and data availability. However, despite the advantages it offers, producer mobility management remains a significant challenge for NDN, especially for moving vehicles and emerging technologies such as Unmanned Aerial Vehicles (UAVs), known for their high-speed and unpredictable movements, which makes it difficult for NDN to maintain seamless communication. To solve this mobility problem, we propose a Distributed Mobility Management Scheme (DMMS) to support UAV mobility and ensure low-latency content delivery in NDN architecture. DMMS utilizes decentralized Anchors to forward proactively the consumer’s Interest packets toward the producer’s predicted location when handoff occurs. Moreover, it introduces a new forwarding approach that combines the standard and location-based forwarding strategy to improve forwarding efficiency under producer mobility without changing the network structure. Using a realistic scenario, DMMS is evaluated and compared against two well-known solutions, namely MAP-ME and Kite, using the ndnSIM simulations. We demonstrate that DMMS achieves better results compared to Kite and MAP-ME solutions in terms of network cost and consumer quality-of-service metrics.

Efficient high-fidelity flying qubit shaping

Matter qubit to traveling photonic qubit conversion is the cornerstone of numerous quantum technologies such as distributed quantum computing, as well as several quantum internet and networking protocols. We formulate a theory for stimulated Raman emission which is applicable to a wide range of physical systems, including quantum dots, solid-state defects, and trapped ions, as well as various parameter regimes. We find the upper bound for the photonic pulse emission efficiency of arbitrary matter qubit states for imperfect emitters and show a path forward to optimizing the fidelity. Based on these results, we propose a paradigm shift from optimizing the drive to directly optimizing the temporal mode of the flying qubit using a closed-form expression. Protocols for the production of time-bin encoding and spin-photon entanglement are proposed. Furthermore, the mathematical idea to use input-output theory for pulses to absorb the dominant emission process into the coherent dynamics, followed by a non-Hermitian Schrödinger equation approach, has great potential for studying other physical systems. Published by the American Physical Society 2024

Dynamic opportunistic routing protocol for ad-hoc Internet of Vehicles (IoV)

Dynamic opportunistic routing protocol for ad-hoc Internet of Vehicles (IoV)

Navigation Radar system compatible with IOT

The Internet of Things (IoT) aims to create a virtual platform for intelligent interactions among physical devices, vehicles, home appliances (smart homes), and other objects embedded with sensors and actuators that communicate via internet protocols (IP). In addition to RFID sensors, a radar-based sensor for IoT applications has been introduced. This emerging technology not only supplies information to the IoT system but also enhances security by detecting potential stealth threats to the smart environment. This paper investigates the feasibility of incorporating radar systems as sensor devices, contributing to the successful deployment of IoT systems. Additionally, it reviews various IoT architectures, with a focus on the sensor layer, as presented by different researchers.

MVF: A Novel Technique to Reduce the Voip Packet Payload Length

Abstract The adoption of the Voice over Internet Protocol (VoIP) system is growing due to several factors, including its meagre rate and the numerous contours that can be joined with VoIP systems. However, the wasteful utilisation of the computer network is an inevitable problem that limits the rapid growth of VoIP systems. The essential explanation behind this wasteful utilisation of the computer network bandwidth (BW) is the considerable preamble length of the VoIP packet. In this study, we invent a technique that addresses the considerable preamble length of the VoIP packet. The designed technique is known as the manikin voice frame (MVF). The primary idea of the MVF technique is to utilise the VoIP packet preamble tuples that are not essential to the voice calls, particularly client-to-client calls (voice calls between only two users). Specifically, these tuples will be utilised for reserving the data of the VoIP packet. In certain instances, this will make the VoIP packet data manikin or even make it empty. The performance assessment of the introduced MVF technique demonstrated that the utilisation of the computer network BW has enhanced by 33%. Along these lines, the MVF technique indicates potential progress in resolving the inefficient usage of the computer network BW.

An innovative approach for enhancing capacity utilization in point-to-point voice over internet protocol calls

Voice over internet protocol (VoIP) calls are increasingly transported over computer-based networking due to several factors, such as low call rates. However, point-to-point (P-P) calls, as a division of VoIP, are encountering a capacity utilization issue. The main reason for that is the giant packet header, especially when compared to the runt P-P calls packet payload. Therefore, this research article introduced a method to solve the liability of the giant packet header of the P-P calls. The introduced method is named voice segment compaction (VSC). The VSC method employs the unneeded P-P calls packet header elements to carry the voice packet payload. This, in turn, reduces the size of the voice payload and improves network capacity utilization. The preliminary results demonstrated the importance of the introduced VSC method, while network capacity improved by up to 38.33%.

A Link Status-Based Multipath Scheduling Scheme on Network Nodes

Traditional internet protocol (IP) networks, adhering to a “best-effort” service model, typically utilize shortest-path routing for data transmission. Nevertheless, this methodology encounters limitations, especially considering the increasing demands for both high reliability and high bandwidth. These demands reveal shortcomings in this routing strategy, notably its inefficient bandwidth utilization and fault recovery capabilities. The method of multipath transmission has been extensively researched as a solution to these challenges. With the emergence of innovative Internet architectures, notably information-centric networking (ICN), network nodes have gained enhanced capabilities, opening new avenues for multipath transmission design. This paper introduces a multipath scheduling approach for network nodes, capitalizing on the advanced features of these modern nodes. It reimagines the conventional next-hop node as a group of potential next-hop nodes based on both global and local routing strategies and assigns traffic shares to each node within this group for balanced traffic distribution. Network nodes are configured to periodically review and adjust traffic shares according to the link statuses. If scheduling cannot be completed within the set, feedback is sent to upstream nodes. Simulations demonstrate that this approach effectively leverages network path variety, improves bandwidth usage and throughput, and minimizes average data transmission time.

Design and development of arduino-based automation home system using the internet of things

<p><span>The home automation system described in this paper is low-cost, dependable, and versatile. It uses an Arduino microcontroller and Bluetooth internet protocol (IP) connectivity to allow authorized users to remotely access and control devices. The suggested system employs the internet of things (IoT), which is server-independent, to manage human-desired appliances ranging from industrial machinery to consumer products. In this project, we have taken a Bluetooth module that is programmed through an Arduino Nano to control various devices auto-switching of mechanical devices and monitoring of water level within a range of 130 m using an Android application. This is done to show the effectiveness and viability of this system. Each bulb was switched on/off remotely using a mobile phone successfully. The operation of the water pump attached to the source bucket were controlled from the phone while in manual mode and controlled by an ultrasonic sensor while in automatic mode. It enables remote control of a number of devices, including lights and pumps, and decision-making based on sensor feedback.</span></p>

Ensuring cybersecurity for industrial networks: A solution for ARP-based MITM attacks

The increased adoption of the Internet Protocol (IP) in ICSs has made these systems vulnerable to the same security risks that are present in traditional IT environments. The legacy nature of ICSs and their unique operational requirements make them vulnerable to security threats that are different from those in IT environments. In this paper, we describe a protocol, named ArpON, which is able to wipe out in quasi real time any ARP cache poisoning attempt, thus making it ineffective. Contrarily to solutions presented in the literature for contrasting ARP cache poisoning, ArpON incurs in low operational costs, is backward compatible, transparent to the ARP protocol and does not use any HW feature nor cryptography functionality. We also model and validate ArpON in the OMNET + + network simulator. The simulation results show that ArpON is effective in avoiding ARP poisoning, and its communication overhead is negligible with respect to classical ARP protocol.

Energy-efficient deep Q-network: reinforcement learning for efficient routing protocol in wireless internet of things

<div align="center"><span>The internet of things (IoT) underscores pivotal real-world applications ranging from security systems to smart infrastructure and traffic management. However, contemporary IoT devices grapple with significant challenges pertaining to battery longevity and energy efficiency, constraining the assurance of prolonged network lifetimes and expansive sensor coverage. Many existing solutions, although promising on paper, are intricate and often impractical for real-world implementations. Addressing this gap, we introduce an energy-efficient routing protocol leveraging reinforcement learning (RL) tailored for wireless sensor networks (WSNs). This protocol harnesses RL to discern the optimal transmission route from the source to the sink node, factoring in the energy profile of each intermediary node. Training of the RL algorithm is facilitated through a reward function that includes energy outflow and data transmission efficacy. The model was compared against two prevalent routing protocols, LEACH and fuzzy C-means (FCM), for a comprehensive assessment. Simulation results highlight our protocol’s superiority with respect to the active node count, energy conservation, network longevity, and data delivery efficiency.</span></div>

Design and Analysis of a Bandwidth Aware Adaptive Multipath N-Channel Routing Protocol for 5G Internet of Things (IoT)

Large numbers of mobile wireless nodes that can move randomly and join or leave the network at any moment make up mobile ad-hoc networks. A significant number of messages are delivered during information exchange in populated regions because of the Internet of Things' (IoT) exponential increase in connected devices. Congestion can increase transmission latency and packet loss by causing congestion. More network size, increased network traffic, and high mobility that necessitate dynamic topology make this problem worse. An adaptive Multipath Multichannel Energy Efficient (AMMEE) routing strategy is proposed in this study, in which route selection strategies depend on forecasted energy consumption per packet, available bandwidth, queue length, and channel utilization. While multichannel uses a channel-ideal assignment process to lessen network collisions, multipath offers various paths and balances network strain. The link bandwidth is split up into a few sub-channels in the multichannel mechanism. To reduce network collisions, several source nodes simultaneously access the channel bandwidth. The cooperative multipath multichannel technique offers several paths from a single source or from several sources to the destination without colliding or becoming congested. The AMMEE routing approach is the basis for path selection. A load- and bandwidth-aware routing mechanism in the proposed AMMEE chooses the path based on node energy and forecasts their lifetime, which improves network dependability. The outcome demonstrates a comparative analysis of various multichannel medium access control (MMAC) techniques, including Parallel Rendezvous Multi Channel Medium Access Protocol (PRMMAC), Quality of Service Ad hoc On Demand Multipath Distance Vector (QoS-AOMDV), Q-learning-based Multipath Routing (QMR), and Topological Change Adaptive Ad hoc On-demand Multipath Distance Vector (TA-AOMDV) and the proposed AMMEE method. The results show that the AMMEE approach outperforms alternative systems. Doi: 10.28991/ESJ-2024-08-01-018 Full Text: PDF