A cryptographic cloud-based approach for the mitigation of the airline cargo cancellation problem

In order to keep in good long-term relationships with their main customers, Airline Cargo companies do not impose any fee for last minute cancellations of shipments. As a result, customers can book the same shipment on several cargo companies. Cargo companies try to balance cancellations by a corresponding volume of overbooking. However, the considerable uncertainty in the number of cancellations does not allow to fine-tune the optimal overbooking level, causing losses. In this work, we show how the deployment of cryptographic techniques, enabling the computation on private information of customers and companies data can improve the overall service chain, allowing for striking and enforcing better agreements. We propose a query system based on proxy re-encryption and show how the relevant information can be extracted, still preserving the privacy of customers\u2019 data. Furthermore, we provide a Game Theoretic model of the use case scenario and show that it allows a more accurate estimate of the cancellation rates. This supports the reduction of the uncertainty and allows to better tune the overbooking level

Insertion Detection System Employing Neural Network MLP and Detection Trees Using Different Techniques

by addressing intruder attacks, network security experts work to maintain services available at all times. The Intrusion Detection System (IDS) is one of the available mechanisms for detecting and classifying any abnormal behavior. As a result, the IDS must always be up to date with the most recent intruder attack signatures to maintain the confidentiality, integrity, and availability of the services. This paper shows how the NSL-KDD dataset may be used to test and evaluate various Machine Learning techniques. It focuses mostly on the NLS-KDD pre-processing step to create an acceptable and balanced experimental data set to improve accuracy and minimize false positives. For this study, the approaches J48 and MLP were employed. The Decision Trees classifier has been demonstrated to have the highest accuracy rate for detecting and categorizing all NSL-KDD dataset attacks

Inkjet printed IGZO memristors with volatile and non-volatile switching

Funding Information: This work was financed by national funds from FCT - Fundação para a Ciência e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication – i3N. The authors thank the Fundação para a Ciência e Tecnologia (FCT) for financial support under the framework of Strategic Funding grants UID/FIS/04650/2020 and grant SFRH/BD/145741/2019. Financial support from the Basque Government Industry Department under the ELKARTEK program is acknowledged. E. Carlos and A. Kiazadeh acknowledge the Individual Call to Scientific Employment Stimulus—4th Edition (2021. 03825.CEECIND), (2021. 03386.CEECIND) through FCT and J. Deuermeier acknowledges CEECINST/00102/2018. A. Kiazadeh and E. Carlos acknowledge FCT/MCTES, project NeurOxide (PTDC/NAN-MAT/30812/2017) and project Supreme-IT (EXPL/CTM-REF/0978/2021), respectively. The authors acknowledge FCT/MCTES project TORIS (2022.09084.PTDC) and OPERA (2022. 08132.PTDC). The authors acknowlegde the SUPERIOT project which had received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096021, including funding under the UK government's Horizon Europe funding guarantee. Also, the authors acknowledge the TERRAMETA projet which was (partially) supported by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101097101, including top-up funding by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee. At last, we acknowledge Tomás Calmeiro for the AFM characterization. Funding Information: This work was financed by national funds from FCT - Fundação para a Ciência e a Tecnologia, I.P., in the scope of the projects LA/P/0037/2020, UIDP/50025/2020 and UIDB/50025/2020 of the Associate Laboratory Institute of Nanostructures, Nanomodelling and Nanofabrication – i3N. The authors thank the Fundação para a Ciência e Tecnologia (FCT) for financial support under the framework of Strategic Funding grants UID/FIS/04650/2020 and grant SFRH/BD/145741/2019. Financial support from the Basque Government Industry Department under the ELKARTEK program is acknowledged. E. Carlos and A. Kiazadeh acknowledge the Individual Call to Scientific Employment Stimulus—4th Edition (2021. 03825.CEECIND), (2021. 03386.CEECIND) through FCT and J. Deuermeier acknowledges CEECINST/00102/2018. A. Kiazadeh and E. Carlos acknowledge FCT/MCTES, project NeurOxide (PTDC/NAN-MAT/30812/2017) and project Supreme-IT (EXPL/CTM-REF/0978/2021), respectively. The authors acknowledge FCT/MCTES project TORIS (2022.09084.PTDC) and OPERA (2022. 08132.PTDC). The authors acknowlegde the SUPERIOT project which had received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096021, including funding under the UK government's Horizon Europe funding guarantee. Also, the authors acknowledge the TERRAMETA projet which was (partially) supported by the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101097101, including top-up funding by UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee. At last, we acknowledge Tomás Calmeiro for the AFM characterization. Publisher Copyright: © The Author(s) 2024.Solution-based memristors deposited by inkjet printing technique have a strong technological potential based on their scalability, low cost, environmentally friendlier processing by being an efficient technique with minimal material waste. Indium-gallium-zinc oxide (IGZO), an oxide semiconductor material, shows promising resistive switching properties. In this work, a printed Ag/IGZO/ITO memristor has been fabricated. The IGZO thickness influences both memory window and switching voltage of the devices. The devices show both volatile counter8wise (c8w) and non-volatile 8wise (8w) switching at low operating voltage. The 8w switching has a SET and RESET voltage lower than 2 V and − 5 V, respectively, a retention up to 105 s and a memory window up to 100, whereas the c8w switching shows volatile characteristics with a low threshold voltage (Vth < − 0.65 V) and a characteristic time (τ) of 0.75 ± 0.12 ms when a single pulse of − 0.65 V with width of 0.1 ms is applied. The characteristic time alters depending on the number of pulses. These volatile characteristics allowed them to be tested on different 4-bit pulse sequences, as an initial proof of concept for temporal signal processing applications.publishersversionepub_ahead_of_prin

Intrinsic and extrinsic resistive switching in a planar diode based on silver oxide nanoparticles

Resistive switching is investigated in thin-film planar diodes using silver oxide nanoparticles capped in a polymer. The conduction channel is directly exposed to the ambient atmosphere. Two types of switching are observed. In air, the hysteresis loop in the current–voltage characteristics is S-shaped. The high conductance state is volatile and unreliable. The switching is mediated by moisture and electrochemistry. In vacuum, the hysteresis loops are symmetric, N-shaped and exhibit a negative differential resistance region. The conductance states are non-volatile with good data retention, programming cycling endurance and large current modulation ratio. The switching is attributed to electroforming of silver oxide clusters

Development of a chemogenetic approach to manipulate intracellular pH

Chemogenetic Operation of iNTRacellular prOton Levels(pH-Control)is a novel substrate-based enzymatic method that enables precise spatiotemporalcontrol of ultralocal acidification in cultured cell lines and primaryneurons. The genetically encoded biosensor SypHer3s showed that pH-Controleffectively acidifies cytosolic, mitochondrial, and nuclear pH exclusivelyin the presence of beta-chloro-d-alanine in living cellsin a concentration-dependent manner. The pH-Control approach is promisingfor investigating the ultralocal pH imbalance associated with manydiseases.CE254SWXHI ; NN254SWPZX ; CP254SWT2

Opto-electronic characterization of electron traps upon forming polymer oxide memory diodes

Metal-insulator-polymer diodes where the insulator is a thin oxide (Al2O3) layer are electroformed by applying a high bias. The initial stage is reversible and involves trapping of electrons near the oxide/polymer interface. The rate of charge trapping is limited by electron transport through the polymer. Detrapping of charge stored can be accomplished by illuminating with light under short-circuit conditions. The amount of stored charge is determined from the optically induced discharging current transient as a function of applied voltage and oxide thickness. When the charge density exceeds 8 1017/m2, an irreversible soft breakdown transition occurs to a non-volatile memory diode

Planar non-volatile memory based on metal nanoparticles

Resistive switching properties of silver nanoparticles hosted in an insulating polymer matrix (poly(N-vinyl-2-pyrrolidone) are reported. Planar devices structures using interdigitated gold electrodes were fabricated. These devices have on/off resistance ratio as high as 103 , retention times reaching to months and good endurance cycles. Temperature-dependent measurements show that the charge transport is weakly thermal activated (73 meV) for both states suggesting that nanoparticles will not aggregate into a metallic filament