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Providing high quality of service (QoS) to mobile end-users, and guaranteeing resilient connectivity for healthcare wearables and other mobile devices is a critical component of Industry 5.0. However, one of the biggest difficulties that network operators encounter is the issue of mobility handover, as it can be detrimental to end-users’ safety and experience. Although various handover mechanisms have been developed to meet high QoS, achieving optimum handover performance while maintaining sustainable network operation is still an unreached goal. In this paper, random linear codes (RLC) are used to achieve seamless handover, where handover traffic is encoded using RLC and then multicasted to handover destination(s) using a mobility prediction algorithm for destination selection. To overcome the limitations of current IP core networks, we make use of a revolutionary IP-over-Information-Centric Network architecture at the network core that supports highly flexible multicast switching. The combination of the RLC, flexible multicast, and mobility prediction, makes the communication resilient to packet loss and helps to avoid handover failures of existing solutions while reducing overall packet delivery cost, hence offering sustainable mobility support. The performance of the proposed scheme is evaluated using a realistic vehicular mobility dataset and cellular network infrastructure and compared with Fast Handover for Proxy Mobile IPv6 (PFMIPv6). The results show that our scheme efficiently supports seamless session continuity in high mobility environments, reducing the total traffic delivery cost by 44% compared to its counterpart PFMIPv6, while reducing handover delay by 26% and handover failure to less than 2% of total handovers.

Winds of change are blowing across the financial systems, with services and advancements in Financial Technology (FinTech) influencing all aspects of the financial sector and generating a continual stream of innovations. Despite benefits offered by FinTech, it creates new challenges that endanger financial institutes’ stability and integrity. As cyber-attacks increasingly threaten the FinTech industry, cybersecurity can be considered as one of the main challenges that need to be addressed to properly manage risks associated with integrating FinTech services in people’s day-to-day life. This Systematic Literature Review (SLR) highlights the cybersecurity challenges that FinTech industry faces and discusses existing measures that can effectively manage FinTech cybersecurity risks. An analysis of the existing literature and regulations is carried out to identify comparable components that exist across some internationally well-known cybersecurity standards and frameworks. Considering Bahrain as a case study, the paper explores key elements and factors that were not addressed adequately while implementing such standards. Research findings indicate that creating a cybersecurity framework for FinTech could be advantageous and offers a new perspective on the topic by demonstrating a natural extension of the existing knowledge. The findings offer useful suggestions for Bahrain’s financial regulators to get better acquainted with these aspects. It lays the foundation to develop a cybersecurity framework for FinTech specifically for Bahrain, and it endeavors to raise the level of cybersecurity and a trusted electronic environment for both the customers and service providers in Bahrain.

Efficient mobility management solutions are essential to provide users with seamless connectivity and session continuity during movement. However, user mobility was not envisaged as one of the early Internet’s use cases due to the early adoption of destination based routing and the assumption that end-nodes are static. This has become a critical hinder for providing efficient mobility support. This paper presents the challenges, drivers, and solutions that aim to overcome the drawbacks of current mobility management approaches. Furthermore, it introduces a promising solution that builds on emerging path-based forwarding architectures that identify network links rather than end nodes. Delivery path information is stored inside the packet while forwarding is achieved by performing a simple set membership test rather than the current destination-based routing approach. Mobility management in these architectures simply requires partial recomputation of the delivery path allowing for efficient mobility support over an optimal path. Evaluation results show significant cost savings in terms of delivery paths and end-to-end packet delay when using a path forwarding architecture.

With the huge proliferation of mobile Internet of Things (IoT) devices such as connected vehicles, drones, and healthcare wearables, IoT networks are promising mobile connectivity capacity far beyond the conventional computing platforms. The success of this service provisioning is highly dependent on the flexibility offered by such enabling technologies to support IoT mobility using different devices and protocol stacks. Many of the connected mobile IoT devices are autonomous, and resource constrained, which poses additional challenges for mobile IoT communication. Therefore, given the unique mobility requirements of IoT devices and applications, many challenges are still to be addressed. This paper presents a global mobility management solution for IoT networks that can handle both micro and macro mobility scenarios. The solution exploits a path-based forwarding fabric together with mechanisms from Information-Centric Networking. The solution is equally suitable for legacy session-based mobile devices and emerging information-based IoT devices such as mobile sensors. Simulation evaluations have shown minimum overhead in terms of packet delivery and signalling costs to support macro mobility handover across different IoT domains.

With the huge proliferation of sensory applications, the Internet of Things (IoT) is promising connectivity capacity far beyond the conventional computing platforms, with an ultimate goal of connecting all everyday objects. Sensory applications in the marine environment are foreseen to be an integral part of this connected world, forming the Internet of Marine Things (IoMaT). While some efforts that aim to establish network connectivity in such a sparse environment exist, securing these networks is still an unreached goal. This paper introduces a secure Mobile Ad-hoc/Delay Tolerant routing protocol (S-MADNET) for the marine environment over VHF equipment available on the majority of ships. The proposed secure network is designed to use the existing Automatic Identification System (AIS) that ships use for positioning and navigation aid. An IoMaT routing module that forwards marine sensory data using the proposed secure protocol is also presented, taking the AIS system level considerations into account. Furthermore, a new AIS message format with IoMaT support is proposed that accommodates the requirements of the secure routing protocol. Evaluation results show that the proposed S-MADNET routing protocol outperforms its counterparts in terms of packet delivery rates and packet duplication rates, while maintaining data security.

With the huge proliferation of sensory applications, the Internet of Things (IoT) is promising connectivity capacity far beyond the conventional computing platforms, with an ultimate goal of connecting all everyday objects. Sensory applications in the marine environment are foreseen to be an integral part of this connected world, forming the Internet of Marine Things (IoMaT). While some efforts that aim to establish network connectivity in such a sparse environment exist, securing these networks is still an unreached goal. This paper introduces a secure Mobile Ad-hoc/Delay Tolerant routing protocol (S-MADNET) for the marine environment over VHF equipment available on the majority of ships. The proposed secure network is designed to use the existing Automatic Identification System (AIS) that ships use for positioning and navigation aid. An IoMaT routing module that forwards marine sensory data using the proposed secure protocol is also presented, taking the AIS system level considerations into account. Furthermore, a new AIS message format with IoMaT support is proposed that accommodates the requirements of the secure routing protocol. Evaluation results show that the proposed S-MADNET routing protocol outperforms its counterparts in terms of packet delivery rates and packet duplication rates, while maintaining data security.

Traditional marine monitoring systems such as oceanographic and hydrographic research vessels use either wireless sensor networks with a limited coverage, or expensive satellite communication that is not suitable for small and mid-sized vessels. This paper proposes a novel Internet of Marine Things (IoMaT) data acquisition and cartography system in the marine environment using Very High Frequency (VHF) available on the majority of ships. The proposed system is equipped with many sensors such as sea depth, temperature, wind speed and direction, and the collected data is sent to 5G edge cloudlets connected to sink/base station nodes on shore. The sensory data is ultimately aggregated at a central cloud on the internet to produce up to date cartography systems. Several observations and obstacles unique to the marine environment have been discussed and feed into the solutions presented. The impact of marine sparsity on the network is examined and a novel hybrid Mobile Ad-hoc/Delay Tolerant routing protocol (MADNET) is proposed to switch automatically between Mobile Ad-hoc Network (MANET) and Delay Tolerant Network (DTN) routing according to the network connectivity. The low rate data transmission offered by VHF radio has been investigated in terms of the network bottlenecks and the data collection rate achievable near the sinks. A data synchronization and transmission approach has also been proposed at the 5G network core using Information Centric Networks (ICN).

Current satellite communication remains very expensive and impractical for most small to mid-sized vessels, and at the same time marine wireless networking is lack of network coverage. To solve this problem, this paper proposes a novel IOT (Internet of Things) enabled system for marine data acquisition and cartography based on Ship Ad-hoc Networks (SANET’s). Ships are equipped with Very High Frequency (VHF) radios and several sensors such as sea depth, temperature, wind speed and direction, etc. The collected sensory data is sent to 5G edge clouds incorporated at sink/base station nodes on shore, and ultimately aggregated at a central cloud on the internet to produce up to date cartography. The routing protocols deployed are DSDV (Destination-Sequenced Distance Vector), AODV (Ad hoc On-Demand Distance Vector), AOMDV (Ad hoc On-Demand Multipath Distance Vector) and DSR (Dynamic Source Routing) protocols, which are very popular in Mobile Ad-hoc Networks (MANET’s) and compatible with multi hop routing environments and scalability towards increased traffic and mobility. Simulation results verify the feasibility and efficiency of the proposed system that has packet delivery rates of up to 80% at shore base stations.

Packet data networks at sea offer the potential for increased safety, connectivity and meteorological data acquisition. Existing solutions including satellite communication are expensive and prohibitive to most small vessels. In this paper, an Internet of Things (IoT) application is proposed as a marine data acquisition and cartography system over Ship Ad-hoc Networks (SANET). Ships are proposed to communicate over Very High Frequency (VHF) which is already available on the majority of ships and are equipped with several sensors such as sea depth, temperature, wind speed and direction, etc. On shore, 5G base station nodes represent sinks for the collected data and are equipped with Mobile Edge Computing (MEC) capabilities for data aggregation and processing. The sensory data is ultimately aggregated at a central cloud on the internet to produce public up to date cartography systems. We discuss the deployment limitations and benefits of the proposed system and investigate it’s performance using four different MANET routing protocols which are Ad hoc On-Demand Distance Vector (AODV), Ad hoc On-Demand Multipath Distance Vector (AOMDV), Destination-Sequenced Distance Vector (DSDV) and Dynamic Source Routing (DSR) protocols. Simulation results illustrate the efficiency of the proposed system with packet delivery rates of up to 60 percent at shore base stations.

With the huge proliferation of mobile Internet of Things (IoT) devices such as connected vehicles, drones, and healthcare wearables, IoT networks are promising mobile connectivity capacity far beyond the conventional computing platforms. The success of this service provisioning is highly dependent on the flexibility offered by such enabling technologies to support IoT mobility using different devices and protocol stacks. Many of the connected mobile IoT devices are autonomous, and resource constrained, which poses additional challenges for mobile IoT communication. Therefore, given the unique mobility requirements of IoT devices and applications, many challenges are still to be addressed. This paper presents a global mobility management solution for IoT networks that can handle both micro and macro mobility scenarios. The solution exploits a path-based forwarding fabric together with mechanisms from Information-Centric Networking. The solution is equally suitable for legacy session-based mobile devices and emerging information-based IoT devices such as mobile sensors. Simulation evaluations have shown minimum overhead in terms of packet delivery and signalling costs to support macro mobility handover across different IoT domains.