Cross-domain Communication Research Articles

Chatbot applications in government frontline services: leveraging artificial intelligence and data governance to reduce problems and increase effectiveness

ABSTRACT Taiwan has been developing digital technology for many years. Whether it is industry or government, Taiwan’s digitalisation level is among the highest in the world. This research aims to show how the application of chatbots and AI technology affects Taiwan’s local governments, what problems have arisen from its operations so far, and what key factors provide a better understanding of the effectiveness of chatbots. Contributions to the transformation of existing digital governments can be used to strengthen governance and political participation. This article adopts a case study approach. The research findings are based on the evaluation model constructed by literature review and in-depth interviews; this ideal model examined the operational effectiveness of existing local government chatbots. Through in-depth interviews, we discovered that human-robot collaboration would be the most beneficial model for using artificial intelligence in the future. In order to maximise the benefits of human-robot collaboration, government agencies must enhance organisational members’ understanding of artificial intelligence through education and training to help cross-domain communication and coordination activities with entrusted units and through education and training to build an organisational culture that supports the organisation’s digital transformation.

BSSN-SDNs: A Blockchain-Based Security Service Negotiation for the SDN Interdomain

The security requirements for SDN (Software-Defined Network) cross-domain communication are diverse and dynamically changing; thus, a security service negotiation function is required for the SDN interdomain. However, the SDN interdomain distributed communication environment leads to a lack of trustworthiness and security. Therefore, this paper proposes a blockchain-based SDN interdomain security service negotiation mechanism, BSSN-SDNs, to provide automatic, secure, and trustworthy SDN interdomain security service negotiation. BSSN-SDNs proposes a three-layer reference architecture that enables joint on-chain and off-chain work by extending the security service negotiation module and blockchain client on the controller and deploying security service negotiation smart contracts on the blockchain. It especially adopts non-interactive key exchange and the message authentication code to ensure the confidentiality of the secure service negotiated on-chain. Finally, the timeliness as well as security and trustworthiness of BSSN-SDNs are analyzed, and the FISCO BCOS-based experiment results show that the delay of BSSN-SDNs is acceptable and is positively correlated with the number of policies and the number of SDN domains involved in negotiation.

Propagation Characteristics and Magnetic Field Distribution of Rotating Magnet-Based Mechanical Antenna in the Air-Seawater-Seabed Three-Layer Medium

Aiming at the application requirements of underwater cross-domain communication, based on the equivalent relationship between the rotating permanent magnet and the orthogonal time-varying current loop, this paper establishes an air-seawater-seabed three-layer medium model and analyzes the magnetic field distribution and propagation characteristics of the rotating permanent magnet-based mechanical antenna (RMBMA). Based on the electromagnetic field simulation software FEKO, the influence of vertical rotation and horizontal rotation of RMBMA on the radiation magnetic field is analyzed. The magnetic field distribution and magnetic field attenuation characteristics of RMBMA at different depths are obtained by simulation. The influence of RMBMA operating frequency and magnetic moment on the propagation characteristics is studied. The research shows that the horizontal rotation of the magnetic source is better than the vertical rotation in the long-distance underwater communication. When the magnetic source and the receiving point are close to the interface of the medium, the magnetic field strength and the propagation distance can be relatively increased. With appropriate frequency and magnetic moment, the magnetic field strength and communication distance can be further increased.

A revocable anonymous cross-domain communication scheme for smart grid based on ring signcryption

A revocable anonymous cross-domain communication scheme for smart grid based on ring signcryption

BTAA: Blockchain and TEE-Assisted Authentication for IoT Systems

In recent years, Internet of Things (IoT) technology has gained a lot of attention. With the development of IoT technology, it comes the need for devices with different trust domains to interact and collaborate. In order to protect the security and reliability of the communication between devices in different trust domains, it raises the concerns about the the technology of cross-domain authentication. Traditional cross-domain authentication methods may lead to heavy key management overhead or depend on trusted third parties, while existing blockchain-based cross-domain authentication schemes do not prevent the possibility of mischief by malicious domain managers. In this paper, we design an efficient Blockchain and TEE assisted secure device authentication scheme for cross-domain IoT system, called BTAA. Our solution solves the problem that managers are not fully trusted, which in turns protect the security and reliability in the blockchain-based cross-domain communication. Specifically, blockchain is introduced to build trust between different domains, the identity-based signatures are used to verify the identity information of devices and the TEE is introduced to prevent the possibility of mischief by domain managers. Finally, our experiments show that the introduction of TEE has greatly improved system security with a low efficiency reduction, which proves that our scheme can achieve highly secure distributed IoT authentication..

Cross-Domain Fixed-Time Formation Control for an Air-Sea Heterogeneous Unmanned System with Disturbances

This paper studied the cross-domain fixed-time formation control problem of an air-sea heterogeneous unmanned system (ASHS). Taking advantage of individual characteristics of unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater vehicles (UUVs), the ASHS was introduced to accomplish the ocean stereoscopic observation mission, which was transformed into the formation control problem. Due to the difference of dimension and the communication constraint between UAV, USV, and UUV, a cross-domain communication protocol was proposed to achieve the state information flow between heterogeneous unmanned vehicles with different dimensions rather than construct the identical low-dimensional output. The high-dimensional unmanned vehicle can receive full state information from low-dimensional neighbors, while the low-dimensional follower can only receive partial state information from high-dimensional neighbors. Moreover, by means of fixed-time control theory and the backstepping control technique, the distributed fixed-time observer and controller were designed to solve the formation control problem for the ASHS with disturbances. Simulation results show that the ASHS can achieve fixed-time formation control with the proposed coordinated control protocols. Meanwhile, the convergence time of the proposed fixed-time formation control protocols is independent of the initial state.

Domain-relevance of influence: characterizing variations in online influence across multiple domains on social media

Influentials play a key role in enhancing information diffusion on social media. However, how personal influence varies across multiple domains is rarely addressed. This study introduces a concept called Domain-Relevance of Influence to describe the relation between influence and domains, and establishes a methodological framework with a sample of 8,520,933 Weibo users to explore the cross-domain characteristics of influence. The results show that generalists with cross-domain attributes possess significantly higher influence than specialists in most domains, whereas in a single domain such as sports or technology, specialists and generalists can possess comparable influence. We further show that influence is positively associated with cross-domain capability in overall domains, but not necessarily in each single domain. This study contributes to better understanding of the influence variation across domains for influence enhancement, and provides a big data-based methodological basis for cross-domain communication research.

Quorum Sensing in Halorubrum saccharovorum Facilitates Cross-Domain Signaling between Archaea and Bacteria.

Quorum Sensing (QS) is a well-studied intercellular communication mechanism in bacteria, regulating collective behaviors such as biofilm formation, virulence, and antibiotic resistance. However, cell-cell signaling in haloarchaea remains largely unexplored. The coexistence of bacteria and archaea in various environments, coupled with the known cell-cell signaling mechanisms in both prokaryotic and eukaryotic microorganisms and the presence of cell-cell signaling mechanisms in both prokaryotic and eukaryotic microorganisms, suggests a possibility for haloarchaea to possess analogous cell-cell signaling or QS systems. Recently, N-acylhomoserine lactone (AHL)-like compounds were identified in haloarchaea; yet, their precise role-for example, persister cell formation-remains ambiguous. This study investigated the capacity of crude supernatant extract from the haloarchaeon Halorubrum saccharovorum CSM52 to stimulate bacterial AHL-dependent QS phenotypes using bioreporter strains. Our findings reveal that these crude extracts induced several AHL-dependent bioreporters and modulated pyocyanin and pyoverdine production in Pseudomonas aeruginosa. Importantly, our study suggests cross-domain communication between archaea and bacterial pathogens, providing evidence for archaea potentially influencing bacterial virulence. Using Thin Layer Chromatography overlay assays, lactonolysis, and colorimetric quantification, the bioactive compound was inferred to be a chemically modified AHL-like compound or a diketopiperazine-like molecule, potentially involved in biofilm formation in H. saccharovorum CSM52. This study offers new insights into putative QS mechanisms in haloarchaea and their potential role in interspecies communication and coordination, thereby enriching our understanding of microbial interactions in diverse environments.

Cross-Domain Access Control Model in Industrial IoT Environment

The Industrial Internet of Things (IIoT) accelerates smart manufacturing and boosts production efficiency through heterogeneous industrial equipment, intelligent sensors, and actuators. The Industrial Internet of Things is transforming from a traditional factory model to a new manufacturing mode, which allows cross-domain data-sharing among multiple system departments to enable smart manufacturing. A complete industrial product comes from the combined efforts of many different departments. Therefore, secure and reliable cross-domain access control has become the key to ensuring the security of cross-domain communication and resource-sharing. Traditional centralized access control schemes are prone to single-point failure problems. Recently, many researchers have integrated blockchain technology into access control models. However, most blockchain-based approaches use a single-chain structure, which has weak data management capability and scalability, while ensuring system security, and low access control efficiency, making it difficult to meet the needs of multi-domain cooperation in IIoT scenarios. Therefore, this paper proposes a decentralized cross-domain access model based on a master–slave chain with high scalability. Moreover, the model ensures the security and reliability of the master chain through a reputation-based node selection mechanism. Access control efficiency is improved by a grouping strategy retrieval method in the access control process. The experimental benchmarks of the proposed scheme use various performance metrics to highlight its applicability in the IIoT environment. The results show an 82% improvement in the throughput for the master–slave chain structure over the single-chain structure. There is also an improvement in the throughput and latency compared to the results of other studies.

Efficient and Anonymous Cross-Domain Authentication for IIoT Based on Blockchain

The rapid development of the Industrial Internet of Things (IIoT) has realized the intelligence of industrial manufacturing and improved production efficiency. For improved collaboration, devices from different management domains (e.g., factories) connected through various communication technologies exchange information and share resources. However, they face security and privacy issues when cross-domain communication requires authentication. The limitations of existing schemes include the risk of a single point of failure in a trusted center, leakage of device privacy, high certificate management costs, and low authentication efficiency. Because blockchain with features such as decentralization and tamper-proof can effectively solve some of these problems, we design an efficient and anonymous cross-domain authentication scheme based on blockchain to achieve reliable communication between cross-domain IIoT devices. Specifically, our scheme improves authentication efficiency while enabling device anonymity to ensure that identities are not linkable, and combines blockchain and dynamic accumulator technology to achieve fast authentication. Security analysis demonstrates that our scheme can resist common attacks, and a performance evaluation proves its feasibility and efficiency.

Intelligent generation of Peking opera facial masks with deep learning frameworks

The production of traditional Peking opera facial masks often relies on hand painting by experienced painters, which restricts the inheritance and development of this intangible cultural heritage. Current research mainly focuses on the digital reconstruction and storage of existing Peking opera facial masks, while high-quality facial mask generation technology is still in an infancy stage. In this paper, different deep learning frameworks are improved for learning features of Peking opera facial masks and generating new masks, which can effectively promote the creative application of Peking opera facial masks. First, using different data enhancement methods, an improved Style Generative Adversarial Network-2 (StyleGAN2) can learn implicit and explicit features of Peking opera facial masks and automatically generate new facial masks. In addition, an image translation framework for joint cross-domain communication under weak supervision is used to translate face sketches and color reference maps to an intermediate feature domain, and then synthesize new facial masks through an image generation network. The experimental results show that the generated Peking opera facial masks have good local randomness and excellent visual quality.

The Effectiveness of Highlighting Different Communication Orientations in Promoting Mobile Communication Technology at Work vs. at Home: Evidence from a Field Experiment

With the development of mobile communication technologies, people can now engage in seamless communications with family members and coworkers at both home and work. When promoting a new mobile communication technology (e.g., the 5G network), firms may be tempted to emphasize how the technology can strengthen communication both within and across the two domains with the hope of improving purchase rates. Yet research has suggested that people may perceive mobile communication differently depending on whether those they are communicating with others who belong to the same domain. Thus, the promotion of the technology to potential users should perhaps consider users’ location domain and their communication targets. Through a field experiment, we show that when promoting mobile communication technology in the home domain, highlighting prevention-focused communication promotes greater purchase rates. However, at work, when coworkers are the target of communication, highlighting promotion-focused communication works better. These findings can not only help practitioners design more effective promotional messages in promoting mobile communication technologies but also contribute to the understanding of nuanced differences in the nature of mobile communication that make it more appealing to users in different within- and cross-domain communication scenarios.

A Hybrid Semantic Networks Construction Framework for Engineering Design

Abstract This paper proposes a novel framework for building semantic networks from a seed design statement using Recursive Object Modeling (ROM), Word2Vec language modeling, and vector semantic-based method. Semantic Scholar API was used to retrieve abstracts of scientific papers to build ROM-based Semantic Networks to address the design problem implied in the seed design statement, following Environment Analysis from Environment-Based Design (EBD) methodology. The proposed framework was applied to construct the semantic network for a project to design aircraft braking systems, which demonstrates the framework's efficiency. The presented research makes two major contributions: a ROM-based phrase extractor and a domain-specific language model, which is trained on the automatically collected literature abstracts. Using a manually created and assessed truth set containing 100 pairs of abstract-key phrases, the phrase extractor was evaluated by benchmarking it with two existing off-the-shelf key phrase extraction algorithms: TextRank and Rake. The ROM-based phrase extractor extracted most key phrases from target domains and showed higher precision, recall, and F-1 scores than other methods. Meanwhile, the trained project-specific language model was evaluated using the NASA thesaurus. We randomly sampled 457 pairs of connected domain-specific terms related to aircraft braking and landing knowledge. Our Skip-gram model was compared with Google's pre-trained word2vec model and a baseline word2vec model. The results demonstrated that our language model could detect the most pairs of concepts from the NASA thesaurus. The generated semantic network can be applied to design information retrieval, computer-aided design idea generation, cross-domain communication support system, and designer training tool.

The New Paradigm of Communication Within the Transdisciplinary Research

This paper aims to postulate a new paradigm of communication within transdisciplinary research, treated as a desirable model of practicing science in the XXI century (Brandt et al. 2013, Balsiger 2004, Wickson et al. 2006, Aenis 2010). The author emphasizes the need for a re-naturalization of transdisciplinary communication within the internally diversified teams, by returning to the natural, unforced patterns of human behavior within a group. Although it may seem to be a manifestation of sentiment for the Renaissance vision of science, combining threads from various, seemingly unconnected, areas of study (e.g., physics, metaphysics, and philosophy in one research approach) - today's necessity to restore transdisciplinary communication is a challenging task, including a need to return to the natural practices of cross-domain communication, using the potential of in-depth expertise in all the scientific areas. A mature transdisciplinary dialogue base on a translation of perspectives (Schuetz 1984, Perinbanayagam 2005) resulting from the natural predilection of a human actor to put himself/herself in the position of the other (interaction partner) to understand his/her point of view, for the set of intersubjectively shared senses and meanings is the starting point for every kind of partnership.

Mapping the Sustainable Human-Resource Challenges in Southeast Asia’s FinTech Sector

The significance of human resources (HRs) has increased with the increasing awareness of sustainability issues and corporate social responsibility. However, the rapidly emerging financial technology (FinTech) sector still presents an HR challenge. Southeast Asia, which accounts for the highest adoption rate of mobile banking, has set new records regarding the number of transactions, as well as funding amount, in recent years. Moreover, borderless financial cooperation, coupled with in-demand tech talents, will rapidly boost the development of the region. Thus, this study explored the new opportunities as well as challenges of a new business model, FinTech, in Southeast Asia’s banking and enterprise sector in the post-COVID-19 era. It also examined how organizations can achieve sustainable development via the interaction of the new operating model with existing ones by developing relevant strategies in the context of the “new normal” working condition. By reviewing the literature on HR management (HRM), we proposed how banking and FinTech companies could supply tech talent with the relevant experience or engage in training projects before recruiting. Additionally, since organizations desire sustainability-minded employees, they offer flexible working arrangements and well-established reward policies that can create remote work performance and retention rates. Being committed to upskilling and reskilling global talent by offering talent mobility opportunities across the organization, as well as by fully embracing the creation of value for cross-cultural talent, companies can support their employees’ long-term career goals and maintain competitive strength. Finally, organizations must focus more on flexible adjustments and cross-domain communication for global talent. Forming strategic alliances with FinTech companies would be an alternative conduit that can ensure that regional laws comply with the local culture and national law, for bias and conflict reduction.

Research on Addressing Technology of Internet of Things Unique Resources Based on RFID

The global nature of the Internet of things obviously has the problem of cross domain communication, so the Internet of things also needs a set of perfect resource addressing technology to meet its resource addressing needs and promote the interconnection of the Internet of things. Through the analysis of five key elements of resource addressing, such as resource name, resource address, addressing mechanism, update mechanism and security mechanism, this paper summarizes the resource addressing characteristics of Internet of things, which is not only conducive to the design of resource addressing model of Internet of things that meets the demand of resource addressing, but also the necessary premise to solve the key technology of resource addressing of Internet of things. In order to solve the address conflict and addressing problem between different standards of radio frequency identification (RFID), a hierarchical addressing model based on RFID resource name space is proposed. This paper analyzes the characteristics of RFID resource addressing and the existing RFID addressing technology, finds out the defects of addressing technology based on domain name system, introduces the formal expression method of RFID resource namespace, and designs a hierarchical addressing model.

Cross-domain secure data sharing using blockchain for industrial IoT

The Industrial Internet of Things (IIoT) enhances smart manufacturing process that escalates productivity through revolutionary techniques. The manufacturing process is sophisticated and complex because of various IoT domains (e.g. industries). A final product is an outcome of the efforts of several departments from different industries. However, this raises the cross-domain communication's privacy and security issues. Cross-domain data sharing for product manufacturing is a challenging research direction. This paper proposes a centralized cloud-based cross-domain data sharing platform using multiple security gateways. The security gateways use the blockchain to store the information into the centralized cloud. Once the application reported a malicious activity, the centralized cloud verifies the concern from the blockchain. Further, an action is taken against the party that performs malicious activity in the security gateways. The algorithms are designed for authentication and transaction of data. The proposed framework is able the secure data movement among different domains globally. The experiment result demonstrates that the proposed security and privacy framework helps to maintain trust among the industries that collaborate on manufacturing across the domains.

Regulatory RNAs: A Universal Language for Inter-Domain Communication.

In eukaryotes, microRNAs (miRNAs) have roles in development, homeostasis, disease and the immune response. Recent work has shown that plant and mammalian miRNAs also mediate cross-kingdom and cross-domain communications. However, these studies remain controversial and are lacking critical mechanistic explanations. Bacteria do not produce miRNAs themselves, and therefore it is unclear how these eukaryotic RNA molecules could function in the bacterial recipient. In this review, we compare and contrast the biogenesis and functions of regulatory RNAs in eukaryotes and bacteria. As a result, we discovered several conserved features and homologous components in these distinct pathways. These findings enabled us to propose novel mechanisms to explain how eukaryotic miRNAs could function in bacteria. Further understanding in this area is necessary to validate the findings of existing studies and could facilitate the use of miRNAs as novel tools for the directed remodelling of the human microbiota.

CDMA-based multi-domain communications network for marine robots

A cross-domain communications network for above and below water marine robots, based on code-division multiple access (CDMA), is reported. CDMA is a promising physical layer and multiple access technique for underwater acoustic sensor networks as it: (i) is robust to frequency selective fading, (ii) compensates for multi-path effects at the receiver, and (iii) allows receivers to distinguish amongst signals simultaneously transmitted by multiple devices. Consequently, CDMA increases channel re-use and reduces packet retransmissions, which results in decreased energy consumption and increased network throughput. The proposed CDMA network for autonomous co-ordination and networking is applied to marine robots separated by extended ranges to transmit images/information from underwater to above-water. The work involves a complete communications protocol stack from the physical to the application layer. Simulations of the proposed network were performed with Network Simulator-3 (NS-3). The proposed protocol leverages CDMA properties to achieve multiple access to the scarce underwater bandwidth while previous reported work with underwater channels only consider CDMA for the physical layer encoding. Simulations shows the proposed underwater acoustic network protocol outperforms other existing ones. The next step is preliminary testing in-water.

BTCAS: A Blockchain-Based Thoroughly Cross-Domain Authentication Scheme

In many real resource access scenarios, the parties who require to establish communication may be unable to effectively identify and verify some authentication messages of the other party due to the use of completely different cryptography settings, making it difficult to authenticate each other in such scenarios. We usually define the above-mentioned problem as “cross-domain authentication”. Although many research works have been devoted to solving the problem of entity authentication for cross-domain communication, the problem of “incomplete cross-domain” widely exists in existing works. Existing solutions based on some common underlying cryptography foundations greatly limit the application of such cross-domain authentication schemes. In order to solve the problem of “incomplete cross-domain”, this paper proposes a thoroughly cross-domain authentication scheme based on blockchain technology, which can be used by participants from different domains that adopt totally different settings. Our security analysis demonstrates that the scheme is provably secure in the standard model and the experimental results show the efficiency of our scheme.