Leakage Mitigation Research Articles

Botnet detection and information leakage mitigation with differential privacy under generative adversarial networks

Botnet detection and information leakage mitigation with differential privacy under generative adversarial networks

SWAT: A System-Wide Approach to Tunable Leakage Mitigation in Encrypted Data Stores

Numerous studies have underscored the significant privacy risks associated with various leakage patterns in encrypted data stores. While many solutions have been proposed to mitigate these leakages, they either (1) incur substantial overheads, (2) focus on specific subsets of leakage patterns, or (3) apply the same security notion across various workloads, thereby impeding the attainment of fine-tuned privacy-efficiency trade-offs. In light of various detrimental leakage patterns, this paper starts with an investigation into which specific leakage patterns require our focus in the contexts of key-value, range-query, and dynamic workloads, respectively. Subsequently, we introduce new security notions tailored to the specific privacy requirements of these workloads. Accordingly, we propose and instantiate Swat, an efficient construction that progressively enables these workloads, while provably mitigating system-wide leakage via a suite of algorithms with tunable privacy-efficiency trade-offs. We conducted extensive experiments and compiled a detailed result analysis, showing the efficiency of our solution. Swat is about an order of magnitude slower than an encryption-only data store that reveals various leakage patterns and is two orders of magnitude faster than a trivial zero-leakage solution. Meanwhile, the performance of Swat remains highly competitive compared to other designs that mitigate specific types of leakage.

An adjustable bio-sealing method for rock fracture leakage mitigation

This study proposed a repeated adjustable mixture injection strategy (RAM) based microbial induced carbonate precipitation (MICP) for efficient mitigation of rock fracture leakage. Granite fractures with small apertures were investigated, and bio-sealing experiments were conducted using five different cementation solution (CS) concentrations (0.25−2 M). The results showed that the RAM-based bio-sealing method can seal and bond the small aperture rock fractures with high efficiency and uniform precipitation by adjusting the CS concentration. The RAM-based bio-sealing mechanism is attributed to the following four stages: (1) fixation of bacterial flocs onto the fracture surfaces, (2) precipitation of CaCO3 onto the fracture surfaces, (3) growth of pre-precipitated CaCO3 and adhesion of new-suspended CaCO3, and (4) bridging and clogging processes. The optimal CS concentration of 1 M resulted in a fracture filling rate up to 85%, a transmissivity reduction of 4 orders of magnitude, and a shear strength ranging from 512 kPa to 688 kPa. The bio-sealing effect was found to be influenced by the CS concentration on bacterial attachment, calcium carbonate yield and calcium carbonate bulk density. The CS concentration of 1 M promoted bacterial attachment, and increased calcium carbonate yield as well as calcium carbonate bulk density, while concentrations above 1 M had the opposite effect. The bulk density of calcium carbonate played a crucial role in the sealing and bonding performance of bio-sealed fractures, particularly at comparable filling ratios and bridging areas. The bulk density was regulated by the size of calcium carbonate crystals and was determined by Ca2+ concentration in the CS. This study provides valuable insights into the RAM-based bio-sealing method, highlighting its potential for efficient rock fracture leakage mitigation through precise control of CS concentration and understanding the underlying mechanisms.

NBTI Effect Survey for Low Power Systems in Ultra-Nanoregime

Background: Electronic device scaling with the advancement of technology nodes maintains the performance of the logic circuits with area benefit. Metal oxide semiconductor (MOS) devices are the fundamental blocks for building logic circuits. Area minimization with higher efficiency of the circuits motivates the researchers of very large-scale integration (VLSI) design. Moreover, the reliability of digital circuits is one of the biggest challenges in VLSI technology. A major issue in reliability is negative bias temperature instability (NBTI) degradation. NBTI affects the efficiency and reliability of electronic devices Methods: This paper presents a review of NBTI physical-based mechanisms. NBTI's impact on VLSI circuits and techniques has been studied to mitigate and compensate for the effect of NBTI. Results: This review paper presents an idea to relate the NBTI and leakage mitigation techniques. This study gives an overview of the efficiency, complexity, and overhead of NBTI mitigation techniques and methodologies. Conclusion: This survey provides a brief idea about NBTI degradation by using reliability simulation. Moreover, the extensive aging effect is discussed in the paper.

PowerScout: Security-Oriented Power Delivery Network Modeling for Side-Channel Vulnerability Analysis

The growing complexity of modern electronic systems leads to the design of more sophisticated power delivery networks (PDNs). Similar to other system-level shared hardware resources, the on-board PDN unintentionally introduces side channels across design layers and voltage domains which are not explicitly specified in the functional specification. Recent works have demonstrated that the exploitation of the side channel can compromise the system security such as information leakage and fault injection. In this work, we systematically investigate the PDN-based side channel as well as potential countermeasures. To facilitate this goal, we develop PowerScout, a security-oriented PDN simulation framework that unifies the modeling of different PDN-based side-channel attacks. PowerScout performs a fast nodal analysis of complex PDNs at the system level to quantitatively evaluate the severity of side-channel vulnerabilities. With the support of PowerScout, for the first time, we validate PDN side-channel attacks in the literature via simulation. Furthermore, we are able to quantitatively measure the security impact of PDN parameters and configurations. For example, towards information leakage, removing near-chip capacitors can increase intra-chip information leakage by a maximum of 23.23 dB at mid-frequency range and inter-chip leakage by an average of 31.68 dB at mid- and high-frequency range. Similarly, the optimal toggling frequency and duty cycle are derived to achieve fault injection attacks with higher success rate and more precise control. In addition, the vulnerabilities are evaluated when hiding-based countermeasures are implemented. Based on the evaluation, we can understand the optimal defense configuration and explore the trade-off between information leakage mitigation and power supply stability.

The economics of carbon leakage mitigation policies

In a trade model with endogenous emissions abatement, we investigate the impact of three policy instruments aimed at mitigating carbon leakage: free emission allowances, a Carbon Border Adjustment Mechanism (CBAM), and a CBAM with export rebates. We show that providing free allowances does not alter the incentives to abate carbon emissions, but, instead fosters the entry of more carbon intensive producers. This “levels the playing field” both domestically and internationally, and may even reverse carbon leakage. In contrast, a CBAM only levels the playing field domestically, and may lead to an autarky equilibrium. To reverse carbon leakage, a CBAM must be complemented with export rebates. We further show that a CBAM and export rebates improve welfare for any carbon price, and we identify the optimal share of free allowances with or without a CBAM. Finally, we perform a calibration exercise on cement and steel sectors to simulate the effects of the CBAM recently adopted by the European Union. Our model predicts a scenario with reverse carbon leakage and significant welfare gains for both sectors.

Numerical method for reducing the effect of spectral leakage on the frequency normalisation results of signals obtained in an asphalt pavement test using a FWD device

ABSTRACT This paper provides an evaluation of the numerical method for limiting the effect of spectral leakage on the frequency normalisation results of the pavement load and displacement functions which were induced with a dynamic impulse generated during FWD tests. The main part of the paper is concerned with the presentation of a method, which can be used to effectively reduce the effect of spectral leakage on the frequency normalisation of signals obtained through pavement testing with FWD. The method developed is supported by the observed differences between the results of the backcalculations carried out for the measurement results of the test section pavement deflections, which were subjected to frequency normalisation with and without spectral leakage reduction. The signals, where the proposed spectral leakage mitigation method was applied, were the only ones for which the identified values of the elastic modulus of the asphalt layer package model increase as the frequency increases, which agrees with the generally accepted relationship observed under laboratory conditions.

Optimizing Salt Leakage Mitigation and Comparing Sorption-Desorption Characteristics of Polyacrylamide-Based Hydrogels.

Solid hygroscopic materials are extensively utilized in diverse fields, including adsorption heat transfer, adsorption heat storage, atmospheric water harvesting (AWH), and air conditioning dehumidification. The efficacy and energy efficiency of these materials in practical applications are significantly influenced by their adsorption and desorption properties. Yet, the introduction of inorganic salts to boost adsorption performance can result in issues like salt leakage. In this research, we prepared a polyacrylamide hydrogel through free radical polymerization, and its water-absorbing capabilities were improved by incorporating the hygroscopic salt lithium chloride. We compared it to a salt-based porous adsorbent, AlFum-LiCl, which also exhibited strong water adsorption properties and the potential for large-scale production. While AlFum-LiCl suffered from limited pores and salt leakage during high water uptake, the optimized PAM-LiCl displayed superior water sorption capabilities, showing no salt leakage even at water uptake of up to 3.5 g/g. At 25 °C, PAM-LiCl achieved equilibrium water uptake of 1.26 g/g at 30% RH and 3.15 g/g at 75% RH. In this context, utilizing 20 g of PAM-LiCl for the AWH experiment yielded daily water outputs of 8.34 L/kg at 30% RH and 16.86 L/kg at 75% RH. The salt-optimized PAM-LiCl hydrogel offers the benefit of application in higher relative humidity environments without the risk of deliquescence, underscoring its promise for atmospheric water harvesting.

Regulatory Stringency and Emission Leakage Mitigation

We construct a two-country trade model where emissions are an input in production and generate cross-border pollution. We examine the strategic incentives of an active regulator who sets a binding level of emissions in production. We show that, in the presence of terms of trade and emission leakage strategic motives, tighter regulation can mitigate emission leakage, reduce global pollution, and improve a country’s welfare. This result and the corresponding policy implications depend on the relative magnitude of emissions intensities of goods between sectors and on their relationship in production and consumption.

Cross-User Leakage Mitigation for Authorized Multi-User Encrypted Data Sharing

Cross-User Leakage Mitigation for Authorized Multi-User Encrypted Data Sharing

Study of the Reliability for the Leakage Mitigation Methods using FinFETs

Introduction: In the very large-scale integration (VLSI) industry, scaling plays an important role in providing compact size and high-speed digital circuits. The major drawbacks faced by logic circuits are power dissipation and process, voltage, and temperature (PVT) variations. In the VLSI industry, the prediction of variability tolerance capability is mandatory to know the future performance of the circuits. The impact of PVT variation is large in nanoscale logic circuits and it has the power to alter the output characteristics of any logic circuit. The reasons that cause PVT variations are manufacturing defects, environmental conditions, and mishandling issues. Aims and Objective: This paper aims to discuss the process variations and briefly describe the previous work related to variability and various factors involved in PVT simulations. It also provides the idea of Monte-Carlo simulation in the Cadence Virtuoso tool. Methods: In this paper, the impact of PVT variations on different fin-shaped field effect transistor (FinFET) circuits was evaluated using the Cadence Virtuoso tool. Monte-Carlo simulation was performed on various leakage reduction techniques for the domino logic with the help of a multi-gate predictive technology model (PTM) FinFET at a 16nm technology node. Results: The footer-less domino logic (FLDL) circuit is designed and simulated using different leakage reduction techniques for reliability analysis. Conclusion: Cascaded leakage control transistor (CLCT) approach shows 81.75%, 67.83%, and 51.25% less statistical mean value for power dissipation as compared to conventional, on-off logic (ONOFIC), and alternative ONOFIC approaches in the case of FLDL OR2 logic circuit, respectively.

Economic leakages in tourism: A comprehensive review of theoretical and empirical perspectives

Economic leakages in tourism are an under-researched area that requires special emphasis from the tourism academia. Leakages persist in a destination and obstruct the economic development of the region. Though mainstream literature highlighted more about the positive side of tourism development, relatively limited literature discussed about leakages. This study critically examines the existing body of knowledge on economic leakages in tourism destinations in order to ascertain the current status of the research and identify any knowledge gaps. This study thoroughly examined theoretical and empirical data on economic leakages in tourism destinations and identified directions for future research. This study further goes into detail on how crucial leakage mitigation is to establishing resilience and self-sufficiency while rebuilding tourism destinations after the pandemic. Finally, theoretical and practical implications are provided.

Development and Characterization of CO2-Responsive Intelligent Polymer Sealant.

In this study, we present an innovative intelligent polymer sealant designed to mitigate CO2 leakage during underground geological storage (CCUS). This sealant is formulated by cross-linking CO2-responsive polymers, specifically acrylamide (AM) and N-[3-(dimethylamino) propyl] methacrylamide (DMAPMA), with polyethylenimine (PEI) serving as the cross-linking agent. The polymer sealant's characteristics were systematically investigated, varying the CO2-responsive polymer content (1.5 wt %) and PEI content (0.1-0.6 wt %). A comprehensive analysis encompassing the rheological properties, thermal behavior, conductivity, and microstructures was conducted. Experimental results indicate that the polymer sealant exhibits excellent injectability, rapid response kinetics, thermal stability, and robust mechanical strength. Upon encountering CO2, the polymer system undergoes a transition from sol to gel state, forming a surface-smooth, uniformly porous three-dimensional (3D) network skeleton structure. Remarkably, the gel's modulus remains relatively unaffected by the shear frequency. Core fluid displacement experiments demonstrated a substantial sealing efficiency of 73.6% for CO2 and an impressive subsequent injection water sealing rate of 96.2%, underscoring its superior sealing and migration performance. In conclusion, the proposed CO2-responsive gel sealant exhibits an exceptional potential for successful utilization in CCUS operations. This advancement introduces a novel avenue to enhance the effectiveness of CO2-responsive gel sealants, thereby contributing to the advancement of CO2 leakage mitigation strategies in geological storage scenarios.

Effect of pore size distribution on the desalination performance of the selective layer of nanoporous atomically-thin membranes

Over the last decade, molecular simulations and experiments have shown that nanoporous atomically-thin membranes (NATMs) have the potential for high-permeance, high-selectivity separations, including seawater desalination. Realistic NATMs contain polydisperse pore sizes that could impede their performance, as large pores lead to salt leakage. This paper computationally examines the effect of pore size distributions (PSDs) on the desalination performance of the selective layer of NATMs by reverse osmosis (RO), considering size exclusion as the dominant selection mechanism. Analogous to thin-film composite RO membranes, the finite width of PSDs leads to a trade-off between water permeability and water/salt selectivity in NATMs. Tight PSDs with average pore sizes slightly below the size of the salt are needed to ensure high selectivity comparable to TFC membranes with high water permeance. Sealing of large, salt-permeable pores (e.g. by interfacial polymerization) limits salt leakage but substantially reduces water permeance. Introducing energy barriers that impede salt permeation by tuning nanopore structure and chemistry can make NATMs more robust to wider PSDs. In summary, some combination of control of PSDs, leakage mitigation, and pore functionalization is essential for NATMs to surpass the permeability/selectivity trade-off of polymeric RO membranes and achieve high water permeance with good salt rejection.

A Review of Leak Detection Systems for Natural Gas Pipelines and Facilities

Pipelines facilities, used for the transportation of natural gas in large quantities to homes and industries, remain the best economic, most reliable and safest mode of transport of energy. Despite these numerous advantages, gas pipelines have been enmeshed in various accidents and thefts, nonetheless this could be reduced if properly maintained and pipelines can last indefinitely without leaks. Pipelines are susceptible to leakages and rupture accidents as a result of age, corrosion, material defects, operational errors or other reasons. Pipeline failures may be caused intentionally (e.g. vandalism) or unintentionally (e.g. device/material failure and corrosion), which may result into irreversible damages such as financial losses, human casualties, ecological disaster and extreme environmental pollution. Leakages in natural gas facilities and installations require three vital aspects, namely: Gas Leakage Prevention, Gas Leakage Detection and Gas Leakage Mitigation. Many Gas Leak Detection methods are used for pipeline integrity management and especially for minimizing gas leakage. The performance of these methods depends on the approaches, operational conditions and pipeline networks. Also, there are some essential requirements and guidelines which must be met before we can consider any leak detection system suitable for production solutions, including sensitivity, reliability, accuracy and robustness. The attempt of this study is to carry out a critical review of these models, to ascertain the best model(s) applicable to natural gas leak detection. Keywords: Gas Leak Detection System, Leak Location, Leak Size DOI: 10.7176/JETP/13-2-02 Publication date: April 30 th 2023

Radiation hard true single-phase-clock logic for high-speed circuits in 28 nm CMOS

True Single-Phase-Clock (TSPC) dynamic logic is widely used in high-speed circuits such as high-speed SERDES (Serializer/Deserializer) and frequency dividers. TSPC flip-flops (FF) are known for their high operational speed and low power consumption, compared to static FFs. Due to the relatively high leakage currents in modern CMOS processes, the use of leakage protection techniques of the storage nodes in TSPC must be considered, especially at high radiation doses. In this paper, the limitations originating from Total Ionization Dose (TID)-induced subthreshold leakage currents are analysed and radiation-hardening-by-design (RHBD) circuit techniques are proposed. Additionally, Single Event Upsets (SEU) are investigated by quantifying the critical charge of the leakage protected TSPC FF. The results are compared to both the static and the TSPC FF without leakage mitigation.

Effects of Enzymatically Induced Carbonate Precipitation on Capillary Pressure–Saturation Relations

Leakage mitigation methods are an important part of reservoir engineering and subsurface fluid storage, in particular. In the context of multi-phase systems of subsurface storage, e.g., subsurface CO2 storage, a reduction in the intrinsic permeability is not the only parameter to influence the potential flow or leakage; multi-phase flow parameters, such as relative permeability and capillary pressure, are key parameters that are likely to be influenced by pore-space reduction due to leakage mitigation methods, such as induced precipitation. In this study, we investigate the effects of enzymatically induced carbonate precipitation on capillary pressure–saturation relations as the first step in accounting for the effects of induced precipitation on multi-phase flow parameters. This is, to our knowledge, the first exploration of the effect of enzymatically induced carbonate precipitation on capillary pressure–saturation relations thus far. First, pore-scale resolved microfluidic experiments in 2D glass cells and 3D sintered glass-bead columns were conducted, and the change in the pore geometry was observed by light microscopy and micro X-ray computed tomography, respectively. Second, the effects of the geometric change on the capillary pressure–saturation curves were evaluated by numerical drainage experiments using pore-network modeling on the pore networks extracted from the observed geometries. Finally, parameters of both the Brooks–Corey and Van Genuchten relations were fitted to the capillary pressure–saturation curves determined by pore-network modeling and compared with the reduction in porosity as an average measure of the pore geometry’s change due to induced precipitation. The capillary pressures increased with increasing precipitation and reduced porosity. For the 2D setups, the change in the parameters of the capillary pressure–saturation relation was parameterized. However, for more realistic initial geometries of the 3D samples, while the general patterns of increasing capillary pressure may be observed, such a parameterization was not possible using only porosity or porosity reduction, likely due to the much higher variability in the pore-scale distribution of the precipitates between the experiments. Likely, additional parameters other than porosity will need to be considered to accurately describe the effects of induced carbonate precipitation on the capillary pressure–saturation relation of porous media.

A cleaner biocementation method of soil via microbially induced struvite precipitation: A experimental and numerical analysis

Microbial-induced struvite precipitation (MISP) is a new biocementation method for soil improvement and hydraulic permeability reduction. Compared with traditional microbial-induced carbonate precipitation (MICP), MISP can significantly reduce the production of harmful ammonium ions during biochemical reactions and convert ammonium ions into struvite with promising mechanical strength. In this study, a series of experiments were conducted to compare the performance of the MICP and the MISP processes on sandy soils. Results showed that the average content of calcium carbonate in MISP cemented sand columns after 3 times of injection is similar to that in MICP cemented sand columns after 9 times of injection. The hydraulic permeability of MISP cemented sand columns after 3 times of injection is an order of magnitude lower than that of MICP cemented sand columns after 9 times of injection. To further investigate the physicochemical interactions during MISP and MICP processes, a one-dimensional finite element code considering the chemical reactions and the solute transportation was proposed. Results show that most of the MISP were formed in the early 3 h of the 6 h injection cycle, whereas most of the MICP were formed in the last 5 h of the injection cycle. The simulated total mass of the MISP precipitation, 11.3 g, was close to the experimental result of 9.6 g. The spatial distribution of MISP is more uneven as compared to MICP, as a result of the much faster reaction rate of struvite than calcium carbonate. The findings suggested that MISP could partially replace MICP in the applications of leakage mitigation and reinforcement of sandy soils.

Optical Leakage Mitigation in Ortho-Mode Transducer Detectors for Microwave Applications

Planar ortho-mode transducers (OMTs) are a commonly used method of coupling optical signals between waveguides and on-chip circuitry and detectors. While the ideal OMT–waveguide coupling requires minimal disturbance to the waveguide, when used for mm-wave applications the waveguide is typically constructed from two sections to allow the OMT probes to be inserted into the waveguide. This break in the waveguide is a source of signal leakage and can lead to loss of performance and increased experimental systematic errors. Here, we report on the development of new OMT-to-waveguide coupling structures with the goal of reducing leakage at the detector wafer interface. The pixel-to-pixel optical leakage due to the gap between the coupling waveguide and the backshort is reduced by means of a protrusion that passes through the OMT membrane and electrically connects the two waveguide sections on either side of the wafer. High-frequency electromagnetic simulations indicate that these protrusions are an effective method to reduce optical leakage in the gap by $$\sim 80\%$$ percent, with a $$\sim 60\%$$ filling factor, relative to an standard OMT coupling architecture. Prototype devices have been designed to characterize the performance of the new design using a relative measurement with varying filling factors. We outline the simulation setup and results and present a chip layout and sample box that will be used to perform the initial measurements.

Dual-Frequency Quantum Phase Estimation Mitigates the Spectral Leakage of Quantum Algorithms

Quantum phase estimation is an important component in diverse quantum algorithms. However, it suffers from spectral leakage, when the reciprocal of the record length is not an integer multiple of the unknown phase, which incurs an accuracy degradation. For the existing single-sample estimation scheme, window-based methods have been proposed for spectral leakage mitigation. As a further advance, we propose a dual-frequency estimator, which asymptotically approaches the Cramer-Rao bound, when multiple samples are available. Numerical results show that the proposed estimator outperforms the existing window-based methods, when the number of samples is sufficiently high.