Recent Submissions

  • Integration and evaluation of QUIC and TCP-BBR in longhaul science data transfers

    Lopes, Raul H. C.; Franqueira, Virginia N. L.; Duncan, Rand; Jisc, Lumen House; University of Derby, College of Engineering and Technology; Brunel University London, College of Engineering, Design and Physical Sciences (EDP Sciences, 2019-09-17)
    Two recent and promising additions to the internet protocols are TCP-BBR and QUIC. BBR defines a congestion policy that promises a better control in TCP bottlenecks on long haul transfers and can also be used in the QUIC protocol. TCP-BBR is implemented in the Linux kernels above 4.9. It has been shown, however, to demand careful fine tuning in the interaction, for example, with the Linux Fair Queue. QUIC, on the other hand, replaces HTTP and TLS with a protocol on the top of UDP and thin layer to serve HTTP. It has been reported to account today for 7% of Google’s traffic. It has not been used in server-to-server transfers even if its creators see that as a real possibility. Our work evaluates the applicability and tuning of TCP-BBR and QUIC for data science transfers. We describe the deployment and performance evaluation of TCP-BBR and comparison with CUBIC and H-TCP in transfers through the TEIN link to Singaren (Singapore). Also described is the deployment and initial evaluation of a QUIC server. We argue that QUIC might be a perfect match in security and connectivity to base services that are today performed by the Xroot redirectors.
  • State-of-the-art review of 3DPV technology: structures and models

    Cui, Yuanlong; Zhu, Jie; Stamatis, Zoras; Chen, Xiangjie; Bi, Haixia; Qiao, Yaning; Soleimani, Zohreh; University of Derby; University of Nottingham; China University of Mining and Technology (Elsevier, 2019-10-05)
    Increasing energy conversion efficiency from sunlight to power is one of the key solutions for the world’s energy shortage and greenhouse gas reduction, but the conventional flat photovoltaic module without sun tracking mechanism has the low sunlight energy collection ability. This paper presents the state-of-the-art three-dimensional photovoltaic (3DPV) technology with high photovoltaic energy conversion efficiency, which is able to absorb off-peak sunlight and reflected light more effectively, thereby it can generate more power. At first, this paper is to catalogue and critique different 3DPV structures and models, as well as assess their characteristics. Afterwards, the main influence factors on the 3DPV structures and models including shape, height and spacing of the solar cells, latitude of the installation, optimal device design and shadow cast, are reviewed. Finally, the challenges and future technological developments of 3DPV structures and models are highlighted. This study demonstrated that the 3DPV technology can increase the captured sunlight approximately 15–30% in comparison with the conventional flat PV technology.
  • Antibacterial properties of silver nanoparticles grown in situ and anchored to titanium dioxide nanotubes on titanium implant against Staphylococcus aureus

    Gunputh, Urvashi F.; Le, Huirong; Lawton, Kiruthika; Besinis, Alexandros; Tredwin, Christopher; Handy, Richard D.; University of Derby; Plymouth University (Taylor & Francis, 2019-09-30)
    Medical grade titanium alloy, Ti-6Al-4V, with TiO2 nanotubes (TiO2-NTs) grown on the surface and then decorated with silver nanoparticles (Ag NPs) is proposed to enhance the antimicrobial properties of the bone/dental implants. However, the decoration with Ag NPs is not consistent and there are concerns about the direct contact of Ag NPs with human tissue. The aim of this study was to achieve a more even coverage of Ag NPs on TiO2-NTs and determine their biocidal properties against Staphylococcus aureus, with and without a top coat of nano hydroxyapatite (nHA). The decoration with Ag NPs was optimised by adjusting the incubation time of the TiO2-NTs in a silver ammonia solution, and using biocompatible δ-gluconolactone as a reducing agent. The optimum incubation in silver ammonia was 7 min, and resulted in evenly distributed Ag NPs with an average diameter of 47.5 ± 1.7 nm attached to the surface of the nanotubes. The addition of nHA did not compromise the antimicrobial properties of the materials; high-resolution electron microscopy showed S. aureus did not grow on the composite with nHA and with >80% biocidal activity measured by the LIVE/DEAD assay, also limited lactate production. Dialysis experiment confirmed the stability of the coatings, and showed a slow release of dissolved silver (3.27 ± 0.15 μg/L over 24 h) through the top coat of nHA.
  • Understanding the implications of chemical regulations, circular economy and corporate social responsibility for product stewardship

    Takhar, Sukhraj; Liyanage, Kapila; University of Derby (IOS Press, 2019-09-10)
    Chemical regulations exist to limit and control the amount of hazardous chemical substances being used by industry to mitigate potential risks. Increasing awareness of diminishing natural resources, increasing pollution, and reducing the amounts of harmful waste, has led towards pressure on industry to change from the traditional linear economic model (closed-loop manufacturing), towards the adoption of the Circular Economy (CE) activities. Corporate Social Responsibility (CSR) extends the relationship between industry and society, defining strategy and communications. The speed at which chemical regulations, CE and CSR adoption takes place will depend on: (1) the speed at which natural resources become more depleted; (2) increasing awareness of the effects of chemical substances by regulators and consumers; (3) increasing numbers of chemical substances being regulated as hazardous, and; (4) increasing consumer and societal pressures for change. Product Stewardship (PS) can be viewed as: (1) involving a wide range of functional areas (design, manufacture, purchasing, sales, support); (2) identifying health and safety, and environmental impacts of product(s); (3) ensuring adequate measures are in place to understand, control or limit impact(s) against a product throughout its lifecycle. The aim of this paper is to focus on using a literature review. The conclusions from this paper will attempt to outline a framework for PS to align with CE and CSR.
  • Privacy verification of photoDNA based on machine learning

    Nadeem, Muhammad Shahroz; Franqueira, Virginia N. L.; Zhai, Xiaojun; University of Derby, College of Engineering and Technology; University of Essex, School of Computer Science and Electronic Engineering (The Institution of Engineering and Technology (IET), 2019-10-09)
    PhotoDNA is a perceptual fuzzy hash technology designed and developed by Microsoft. It is deployed by all major big data service providers to detect Indecent Images of Children (IIOC). Protecting the privacy of individuals is of paramount importance in such images. Microsoft claims that a PhotoDNA hash cannot be reverse engineered into the original image; therefore, it is not possible to identify individuals or objects depicted in the image. In this chapter, we evaluate the privacy protection capability of PhotoDNA by testing it against machine learning. Specifically, our aim is to detect the presence of any structural information that might be utilized to compromise the privacy of the individuals via classification. Due to the widespread usage of PhotoDNA as a deterrent to IIOC by big data companies, ensuring its ability to protect privacy would be crucial. In our experimentation, we achieved a classification accuracy of 57.20%.This result indicates that PhotoDNA is resistant to machine-learning-based classification attacks.
  • Synthesis and characterization of tungsten and barium co-doped La2Mo2O9 by sol-gel process for solid oxide fuel cells

    Shao, Lingbo; Ji, Dongdong; Yang, Jie; Xie, Jinsong; Yin, Qiyi; Le, Huirong; Hefei University; University of Derby (Elsevier, 2019-09-30)
    Herein, we demonstrate the synthesis of W and Ba co-doped La2Mo2O9 (LBMWO) nanocrystalline powder by a sol-gel process. In all the compositions have general formulae La1.9Ba0.1Mo2–xWxO8.95 (x = 0–0.40). The crystal structure, microstructure and conductivity of LBMWO were characterized by X-ray diffraction, scanning electron microscopy and electrical impedance spectroscopy. In addition, the thermal and decomposition properties of the LBMWO gel were analyzed by differential scanning calorimetry - thermogravimetric. The results reveal that all LBMWO powders calcined at 700 °C have a cubic structure; the average crystallite size is about 48 nm. The unit cell parameter of LBMWO powders increases with increase in W content. The as-synthesized nanocrystalline LBMWO samples exhibit excellent sinterability and a relatively lower sintering temperature of 900 °C. A high relative density of ∼96% is achieved after sintering at 900 °C which is in good agreement with the results of the SEM. Moreover, W and Ba co-doping suppresses the phase transition and effectively stabilizes the β-phase at low temperature. At the same time, La1.9Ba0.1Mo1.85W0.15O8.95 exhibits high ionic conductivity, 3.07 × 10−2 S/cm at 800 °C. It is therefore concluded that co-doping can improve the properties of La2Mo2O9 electrolytes.
  • First observation of an attractive interaction between a proton and a cascade baryon

    Acharya, S.; Adamová, D.; Adhya, S. P.; Adler, A.; Adolfsson, J.; Aggarwal, M. M.; Aglieri Rinella, G.; Agnello, M.; Agrawal, N.; Ahammed, Z.; et al. (American Physical Society (APS), 2019-09-13)
    This Letter presents the first experimental observation of the attractive strong interaction between a proton and a multistrange baryon (hyperon) Ξ−. The result is extracted from two-particle correlations of combined p−Ξ−⊕¯p−¯Ξ+ pairs measured in p−Pb collisions at √sNN=5.02 TeV at the LHC with ALICE. The measured correlation function is compared with the prediction obtained assuming only an attractive Coulomb interaction and a standard deviation in the range [3.6, 5.3] is found. Since the measured p−Ξ−⊕¯p−¯Ξ+ correlation is significantly enhanced with respect to the Coulomb prediction, the presence of an additional, strong, attractive interaction is evident. The data are compatible with recent lattice calculations by the HAL-QCD Collaboration, with a standard deviation in the range [1.8, 3.7]. The lattice potential predicts a shallow repulsive Ξ− interaction within pure neutron matter and this implies stiffer equations of state for neutron-rich matter including hyperons. Implications of the strong interaction for the modeling of neutron stars are discussed.
  • GORTS: genetic algorithm based on one-by-one revision of two sides for dynamic travelling salesman problems

    Xu, Xiaolong; Yuan, Hao; Matthew, Peter; Ray, Jeffrey; Bagdasar, Ovidiu; Trovati, Marcello; University of Derby; Nanjing University of Posts and Telecommunications, Nanjing, China; Edge Hill University, Ormskirk, UK (Springer, 2019-09-21)
    The dynamic travelling salesman problem (DTSP) is a natural extension of the standard travelling salesman problem, and it has attracted significant interest in recent years due to is practical applications. In this article, we propose an efficient solution for DTSP, based on a genetic algorithm (GA), and on the one-by-one revision of two sides (GORTS). More specifically, GORTS combines the global search ability of GA with the fast convergence feature of the method of one-by-one revision of two sides, in order to find the optimal solution in a short time. An experimental platform was designed to evaluate the performance of GORTS with TSPLIB. The experimental results show that the efficiency of GORTS compares favourably against other popular heuristic algorithms for DTSP. In particular, a prototype logistics system based on GORTS for a supermarket with an online map was designed and implemented. It was shown that this can provide optimised goods distribution routes for delivery staff, while considering real-time traffic information.
  • Effects of the graphene nanoplatelets reinforced interphase on mechanical properties of carbon fibre reinforced polymer – A multiscale modelling study

    Le, Huirong; Lu, Yiling; Pawlik, Marzena; University of Derby (Elsevier, 2019-07-05)
    Mechanical properties of carbon fibre reinforced polymer (CFRP) are greatly affected by an interphase between fibre and matrix. Coating fibre with nanofillers has been suggested to improve the interphase properties. In this paper, a multiscale modelling framework was developed to investigate how graphene nanoplatelets (GnPs) influence the mechanical properties of CFRP laminate by reinforcing the interphase. At the nanoscale, the Mori-Tanaka homogenisation method was used to determine effective properties of the GnPs reinforced interphase. GnPs reinforced interphase properties at different GnPs orientations, and volume fractions were examined. At the microscale, a 3-D representative volume element (RVE) model based on obtained interphase properties was used to predict the elastic constants of CFRP unidirectional lamina. This RVE model consisted of three phases: carbon fibre, epoxy resin and the GnPs reinforced interphase. The incorporation of GnPs in the interphase increased both longitudinal and transverse lamina moduli. Finally, simulations of the three-point bending test were performed on the macroscale CFRP laminate. The macroscale modelling based on predicted lamina properties was found to reproduce experimentally measured flexural modulus well. It was found that the GnPs coating on fibre has a positive influence on the mechanical properties of CFRP, and the enhancement varied with orientation and local volume fraction of GnPs. In the presence of GnPs coating, 0° and 90° flexural moduli of CFRP laminate increased by 6.1% and 28.3% respectively.
  • Facile template-free synthesis of hierarchically porous NiO hollow architectures with high-efficiency adsorptive removal of Congo red

    Hu, Hanmei; Deng, Chonghai; Sun, Mei; Zhang, Kehua; Wang, Man; Xu, Jiayi; Le, Huirong; Hefei University; University of Derby (Springer, 2019-06-05)
    Hierarchically porous NiO hollow architectures (HPHAs) were synthesized via a one-pot facile chemical bath deposition method and followed by a calcination process. The crystal structure, component and morphology of the products were characterized by various techniques. The results revealed that hierarchical architectures with hollow interior are composed of mesoporous NiO nanoflakes with thickness of about 8 nm. Interestingly, the as-synthesized NiO HPHAs have the unusual three-ordered porous features including a microscale hollow interior and two mesoscale pores which are attributed to the holes on the surface of nanoflakes with an average diameter of about 3.9 nm and the cavities on the wall of microsphere in the range of 20–40 nm in diameter formed by interconnecting nanoflakes. These comprehensive hierarchically porous structures are beneficial for the adsorption performance towards Congo red in water. The absorptive capacity over NiO HPHAs achieved about 1.8 and 4.0 times as high as that of the precursor β-Ni(OH)2 hollow microspheres (HSs) and the commercial activity carbon (AC) under the same conditions. The studies of adsorption kinetics illustrated that the adsorption behavior perfectly obeyed the pseudo-second-order model and the adsorption isotherm fits the Langmuir adsorption assumption well. The maximum adsorption capacities were calculated to be 490.2 mg g−1 according to the Langmuir equation, which is excellent result compared to NiO absorbents. The high-efficiency adsorption capacities for NiO HPHAs are attributed to the large specific surface area, the synergistic effect of micro-mesoporous structure and the electrostatic interaction of NiO with CR molecules. Additionally, NiO HPHAs can be easily renewed and has good chemical stability, indicating a great promising absorbent in the application for the removal of diazo organics in wastewater.
  • Multilayered composite coatings of titanium dioxide nanotubes decorated with zinc oxide and hydroxyapatite nanoparticles: controlled release of Zn and antimicrobial properties against <em>Staphylococcus aureus</em></p>

    Gunputh, Urvashi; Le, Huirong; Besinis, Alexandros; Tredwin, Christopher; Handy, Richard; University of Derby; Plymouth University (Dove Medical Press Ltd., 2019-05-16)
    This study aimed to decorate the surface of TiO2 nanotubes (TiO2 NTs) grown on medical grade Ti-6Al-4V alloy with an antimicrobial layer of nano zinc oxide particles (nZnO) and then determine if the antimicrobial properties were maintained with a final layer of nano-hydroxyapatite (HA) on the composite. The additions of nZnO were attempted at three different annealing temperatures: 350, 450 and 550 °C. Of these temperatures, 350°C provided the most uniform and nanoporous coating and was selected for antimicrobial testing. The LIVE/DEAD assay showed that ZnCl2 and nZnO alone were >90% biocidal to the attached bacteria, and nZnO as a coating on the nanotubes resulted in around 70% biocidal activity. The lactate production assay agreed with the LIVE/DEAD assay. The concentrations of lactate produced by the attached bacteria on the surface of nZnO-coated TiO2 NTs and ZnO/HA-coated TiO2 NTs were 0.13±0.03 mM and 0.37±0.1 mM, respectively, which was significantly lower than that produced by the bacteria on TiO2 NTs alone, 1.09±0.30 mM (Kruskal–Wallis, P<0.05, n=6). These biochemical measurements were correlated with electron micrographs of cell morphology and cell coverage on the coatings. nZnO on TiO2 NTs was a stable and antimicrobial coating, and most of the biocidal properties remained in the presence of nano-HA on the coating.
  • Temporal patterns: Smart-type reasoning and applications

    Chuckravanen, Dineshen; Daykin, Jacqueline; Hunsdale, Karen; Seeam, Amar; Aberythwyth University (Mauritius Branch Campus) (International Academy, Research, and Industry Association (IARIA), 2017-02)
    Allen’s interval algebra is a calculus for temporal reasoning that was introduced in 1983. Reasoning with quali- tative time in Allen’s full interval algebra is nondeterministic polynomial time (NP) complete. Research since 1995 identified maximal tractable subclasses of this algebra via exhaustive computer search and also other ad-hoc methods. In 2003, the full classification of complexity for satisfiability problems over con- straints in Allen’s interval algebra was established algebraically. Recent research proposed scheduling based on the Fishburn- Shepp correlation inequality for posets. We describe here three potential temporal-related application areas as candidates for scheduling using this inequality
  • Allen’s interval algebra and smart-type environments

    Chuckravanen, Dineshen; Daykin, Jacqueline; Hunsdale, Karen; Seeam, Amar; Aberystwyth University (Mauritius Campus) (IARIA, 2017-03)
    Allen’s interval algebra is a calculus for temporal reasoning that was introduced in 1983. Reasoning with qualitative time in Allen’s full interval algebra is nondeterministic polynomial time (NP) complete. Research since 1995 identified maximal tractable subclasses of this algebra via exhaustive computer search and also other ad-hoc methods. In 2003, the full classification of complexity for satisfiability problems over constraints in Allen’s interval algebra was established algebraically. Recent research proposed scheduling based on the Fishburn-Shepp correlation inequality for posets. This article first reviews Allen’s calculus and surrounding computational issues in temporal reasoning. We then go on to describe three potential temporal-related application areas as candidates for scheduling using the Fishburn-Shepp inequality. We also illustrate through concrete examples, and conclude the importance of Fishburn-Shepp inequality for the suggested application areas that are the development of smart homes, intelligent conversational agents and in physiology with emphasis during time-trial physical exercise. The Fishburn-Shepp inequality will enable the development of smart type devices, which will in turn help us to have a better standard of living.
  • Experimental data of bio self-healing concrete incubated in saturated natural soil

    Souid, Adam; Esaker, Mohamed; Elliott, David; Hamza, Omar; University of Derby (Elsevier, 2019-08-22)
    he provision of suitable incubation environments is vital for successful implementation of bio self-healing concrete (bio-concrete). We investigated the effect of soil incubation to examine if the self-healing process can be activated in comparison with the conventional incubation environment (water). The data was collected from laboratory-scale experiments conducted on mortar specimens. The mortar was impregnated with Bacillus subtilis and this bacteria was encapsulated in calcium alginate for protection from the production process. The mortar specimens were mechanically cracked and then incubated within fine-grained fully saturated natural soil for about 4 weeks. The cracks were inspected before and after incubation by light microscopy to evaluate the healing ratio. The mineral precipitations on crack surfaces were examined by Scanning Electron Microscope (SEM) and Energy Dispersive X-Ray Spectrometry (EDX). The data reflects the efficiency of bio-concrete for certain structures such as tunnels and deep foundation, where concrete elements are exposed to ground conditions.
  • Geohazard assessment of landslides in south Brazil: Case study

    Hamza, Omar; De Vargas, Tiago; Boff, Fernando Eduardo; Hussain, Yawar; Sian Davies-Vollum, K.; University of Derby; Centro Universitário da Serra Gaúcha (FSG); University of Brasilia (Springer Science and Business Media LLC, 2019-09-10)
    Slope instability phenomena such as mudslides represent a major geohazard in Brazil, which has caused devastation in many states and affected the lives of people, particularly in self-built settlements on steep slopes. This paper presents and discusses slope stability issues encountered in Caxias do Sul in the State of Rio Grande do Sul, which exemplifies the existing situation of landslide risk assessment in southern Brazil. Local geology and ground conditions of the area in relation to slope instability were reviewed and gaps in information required for mitigating risk were identified, such as inadequate geotechnical information and lack of full inspection and continuous monitoring of active landslides. Although risk assessment has been developed for the city and regarded as a fundamental management tool in the mitigation of landslide hazards, the study showed that the risk assessment works are outdated and not effectively considered for the development of the city. With significant unplanned urban expansion (where houses have been self-built on very steep terrains without geotechnical assessment of the ground and slope conditions), new geohazard mapping is essentially required. Several key recommendations were provided for mitigating the destructive effect of landslides and improving their management in mountainous urban settings.
  • Effective mean free path and viscosity of confined gases

    Xie, Jianfei; University of Derby; University of Edinburgh; University of Strathclyde; University of Warwick (AIP Publishing, 2019-07-16)
    The molecular mean free path (MFP) of gases in confined geometries is numerically evaluated by means of the direct simulation Monte Carlo method and molecular dynamics simulations. Our results show that if calculations take into account not only intermolecular interactions between gas molecules but also collisions between gas molecules and wall atoms, then a space-dependent MFP is obtained. The latter, in turn, permits one to define an effective viscosity of confined gases that also varies spatially. Both the gas MFP and viscosity variation in surface-confined systems have been questioned in the past. In this work, we demonstrate that this effective viscosity derived from our MFP calculations is consistent with those deduced from the linear-response relationship between the shear stress and strain rate using independent nonequilibrium Couette-style simulations as well as the equilibrium Green-Kubo predictions.
  • Variation of molecular mean free path in confined geometries

    Xie, Jianfei; University of Edinburgh (AIP Publishing, 2019-08-05)
    This paper aims to settle disputes in the literature about the spatial variation of the molecular mean free path (MFP) in confined geometries. The MFP of a gas is determined by using both molecular dynamics (MD) and the direct simulation Monte Carlo (DSMC) technique. In spatially-homogeneous cases, the numerical results exactly recover the kinetic theory predictions of a constant MFP. However, in microchannels, the MFP is found to vary near to the bounding walls and reduce at the surfaces to half of its bulk value as long as collisions between gas molecules and wall atoms are taken into account in the calculation of the MFP.
  • Thematic analysis of the learning experience of joint honours students: their perception of teaching quality, value for money and employability

    Pigden, Louise; Jegede, Franc; University of Derby (Taylor and Francis, 2019-09-04)
    The focus of the research was students’ perceptions of whether joint honours degrees represented a sound student learning experience and led to good academic and employability outcomes. In this minority mode of study for the United Kingdom, students study two academic subjects, rather than the more usual single subject. The qualitative methodology followed was a thematic analysis of self-administered questionnaire data, collected from joint honours students at four English universities in the United Kingdom. The principal results were that the students experienced difficulties in fitting into the two communities of learning for their respective subjects; in being adequately supported; in disparities in teaching, learning and assessment between their two subjects, and in a high workload. The major conclusion was that although the students perceived their learning experiences to have value by virtue of having studied two subjects, a number of issues stymied their achieving the best learning experience possible.
  • Design of heat sinks for wearable thermoelectric generators to power personal heating garments: A numerical study

    Soleimani, Zohreh; Zoras, Stamatis; Cui, Yuanlong; Ceranic, Boris; Shahzad, Sally; University of Derby; University of Sheffield (Institute of Physics, 2019-06-01)
    To mitigate climate change attributed to the built environments, there have been tremendous efforts to improve air conditioning systems in the buildings. The possibility of harvesting body heat as a renewable energy source to power a wearable personal heating system is investigated. The aim of this study is to integrate a wearable personal heating system with a thermoelectric generator (TEG) that harvests the body heat which is used to convert it into electricity. Moreover, the interaction between the TEG configuration and power output is studied. The power generation of TEG system is obtained by COMSOL Multiphysics software. The simulation results concluded that all the four proposed heat sink configurations can improve the power output of the wearable TEG at 1.4 m/s and 3m/s compared to that of the reference model. Furthermore, the perforated and trapezium shapes of heat sinks have a significantly better performance in comparison to conventional heat sinks.
  • Towards a trusted unmanned aerial system using blockchain (BUAS) for the protection of critical infrastructure

    Barka, Ezedin; Kerrache, Chaker Abdelaziz; Benkraouda, Hadjer; Shuaib, Khaled; Ahmad, Farhan; Kurugollu, Fatih; College of Information Technology, United Arab Emirates University; Department of Mathematics and Computer Science, University of Ghardaia, Algeria; Cyber Security Research Group, University of Derby, UK (Wiley, 2019-07-29)
    With the exponential growth in the number of vital infrastructures such as nuclear plants and transport and distribution networks, these systems have become more susceptible to coordinated cyber attacks. One of the effective approaches used to strengthen the security of these infrastructures is the use of Unmanned Aerial Vehicles (UAVs) for surveillance and data collection. However, UAVs themselves are prone to attacks on their collected sensor data. Recently, Blockchain (BC) has been proposed as a revolutionary technology which can be integrated within IoT to provide a desired level of security and privacy. However, the integration of BC within IoT networks, where UAV's sensors constitute a major component, is extremely challenging. The major contribution of this study is two-fold. (1) survey of the security issues for UAV's collected sensor data, define the security requirements for such systems, and identify ways to address them. (2) propose a novel Blockchain-based solution to ensure the security of, and the trust between the UAVs and their relevant ground control stations (GCS). Our implementation results and analysis show that using UAVs as means for protecting critical infrastructure is greatly enhanced through the utilization of trusted Blockchain-based Unmanned Aerial Systems (UASs).

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