Secure Method Research Articles

Overview of Salt Cavern Oil Storage Development and Site Suitability Analysis

Salt cavern storage, characterized by its safety, stability, large scale, economic viability, and efficiency, stands out as a cost-effective and relatively secure method for large-scale petroleum reserves. This paper provides an overview of the current development status of salt cavern storage technologies both domestically and internationally, analyzes the advantageous conditions and numerous challenges faced by salt cavern Strategic Petroleum Reserve (SPR) storage in China, and forecasts the development trends of this technology. The conclusions indicate that China possesses all of the necessary conditions for the development of salt cavern storage. Moreover, utilizing the Analytical Hierarchy Process (AHP), a macro suitability hierarchical evaluation system is constructed for the site selection and construction of salt cavern storage facilities. This system quantifies various site selection indicators, integrating expert opinions and findings from relevant theoretical research to establish grading standards for the suitability indices of salt cavern storage construction. Applied to the site evaluation of salt cavern storage at the Jintan Salt Mine in Jiangsu, the results indicate its high suitability for storage construction, making it an ideal location for establishing such facilities. The evaluation results are consistent with expert opinions, demonstrating the rationality of this method.

Synthesis and characterization of CuCoFe2O4@GA/AC as a bio-based matrix magnetic nano-heterogeneous photocatalyst for ceftriaxone degradation from aqueous media

Emerging contaminants such as ceftriaxone are a significant issue in the environment. They have led to a series of ecological, environmental, and health issues, and it is urgent to find a green and secure method to remove antibiotics from water effectively. In this research, the CuCoFe2O4@Gum Arabic (GA)/Activated Carbon (AC) as an innovative bio-based matrix magnetic nanocatalyst was synthesized for the efficient degradation of ceftriaxone from aqueous media. The structure of CuCoFe2O4@GA/AC was characterized via FESEM, EDS, Mapping, XRD, FTIR, VSM, and DRS analyses. The structural analysis of the catalyst revealed its synthesis at the nanometer scale (40–50 nm), exhibiting high magnetic strength (Ms: 5.38 emu/g) and favorable optical properties with a bandgap of 3.6 eV. Under optimized conditions, including a pH of 5, 60 min of irradiation time, 0.24 g/L photocatalyst dose, and ceftriaxone concentration of 5 mg/L, the removal efficiency from synthetic and real samples was 94.43% and 62.5%, respectively. The photocatalytic degradation process of ceftriaxone followed pseudo-first-order and Langmuir–Hinshelwood kinetic models. Furthermore, analysis of the process mechanism indicated a prominent role of the superoxide radical. The catalyst had a high recovery capability and chemical stability. The photocatalytic degradation of ceftriaxone by CuCoFe2O4@GA/AC showcased remarkable efficiency, indicating its potential utility in the treatment of wastewater contaminated with antibiotics.

An improved reversible watermarking scheme using embedding optimization and quaternion moments

Digital watermarking of images is an essential method for copyright protection and image security. This paper presents an innovative, robust watermarking system for color images based on moment and wavelet transformations, algebraic decompositions, and chaotic systems. First, we extended classical Charlier moments to quaternary Charlier moments (QCM) using quaternion algebra. This approach eliminates the need to decompose color images before applying the discrete wavelet transform (DWT), reducing the computational load. Next, we decompose the resulting DWT matrix using QR and singular value decomposition (SVD). To enhance the system's security and robustness, we introduce a modified version of Henon's 2D chaotic map. Finally, we integrate the arithmetic optimization algorithm to ensure dynamic and adaptive watermark insertion. Our experimental results demonstrate that our approach outperforms current color image watermarking methods in security, storage capacity, and resistance to various attacks, while maintaining a high level of invisibility.

PIoT‐fortifying IoT device identity and data access: A security framework empowered by blockchain

AbstractThe IoT, which refers to the process in which billions of devices are connected to the Internet, has emerged as an essential component of today's society. Yet, the safety of data exchange and the identification of devices in IoT networks have emerged as significant concerns in recent years. Also, there will be a significant drop in the effectiveness of the conventional consensus process. This study presents a novel consensus technique, Proof of IoT (PIoT), to address the security and authentication‐related issues in the IoT Infrastructure. It uses blockchain‐based smart contracts to securely transfer the data and uniquely identify the device on the IoT‐based network. PIoT uses a reputation assessment technique that involves complex cryptographic NuCypher‐based security computations to authenticate and update the data across IoT devices. This contract assures that only authorized parties can access the information recorded in the blockchain. A reward‐based filtering technique is developed for PIoT to identify malicious nodes with harmful actions, preventing them from contributing to consensus. Compared to specific conventional methods, PIoT performs better in simulations. Compared with LPBFT, DAC4SH Consensus, the Point of Interaction in blockchain‐based PIoT improved by 74.7% and 96.8%, respectively. When compared to DAC4SH, PIoT shows an overall 15% improvement in the security of the blockchain under the IoT. In addition to providing a secure method of communication between IoT devices, the given study also provides security against various IoT attacks.

Development and validation of a set of wheelchair finite element models in frontal, side, and rear impact conditions

Objective The objective of this study was to develop and validate finite element (FE) models of commercial manual and power wheelchairs, as well as related test fixtures and tiedown hardware, to provide tools for designing integrated wheelchair seating stations for automated and other vehicles. Methods The manual wheelchair model is based on a Ki Mobility Catalyst 5, and the power wheelchair is based on a Quantum Rehab Q6 Edge 2.0 with Synergy Seating. A 3D Sense scanner was used to capture wheelchair geometry. Wheelchairs were disassembled into components to collect masses and additional dimensions. These geometric data were used to construct computer-aided design (CAD) models of each product. Additional fixture models were generated from available drawings for the surrogate wheelchair base (SWCB), surrogate wheelchair 4-point strap tiedowns, traditional docking hardware, and hardware meeting Universal Docking Interface Geometry (UDIG). Models were constructed in LS-DYNA. For each wheelchair, between 1 and 3 dynamic sled tests in front, lateral, and rear directions were conducted for a total of 13 tests with varying wheelchair securement methods to obtain validation data. Frontal and rear impact tests used a Hybrid III midsized male, whereas the side impact tests used the ES-2re. Validation sled pulses were nominally 20 g–48 km/h for frontal tests, 10 g–22 km/h for lateral tests, and 14 g–30 km/h for rear impact tests. CORrelation and Analysis (CORA) scores were calculated for head and chest resultant accelerations. Results Validation results include comparison of component masses, overall wheelchair and anthropomorphic test device (ATD) kinematics, ATD head and chest signals, and calculation of CORA scores for head and chest resultant accelerations. For the 2 wheelchairs and SWCB, total model mass was within 1% to 4% of physical mass. Across the 13 test conditions, head acceleration CORA scores ranged from 0.71 to 0.92 in 8 conditions and from 0.52 to 0.67 in 5 conditions. For chest acceleration, CORA scores ranged from 0.73 to 0.96 in 8 conditions and from 0.51 to 0.67 in 5 conditions. In addition, residual deformation was similar between test and model in conditions where it occurred. Conclusions These publicly available tools will allow vehicle safety engineers to design equitable occupant protection systems for occupants who travel while seated in their wheelchairs. They will also be the baseline for ongoing research to develop parametric wheelchair models for additional occupant sizes.

Comparison of endoscopic breast-conserving surgery versus conventional breast-conserving surgery for the treatment of early-stage breast cancer: a meta-analysis.

This meta-analysis seeks to evaluate the efficacy and safety of endoscopic breast-conserving surgery (E-BCS) compared to conventional breast cancer surgery (C-BCS) in patients diagnosed with early-stage breast cancer. Four databases (Medline, Embase, Web of Science and CENTRAL) were searched published from establishment of database to January 30,2024, for articles studying E-BCS compared to C-BCS in patients diagnosed with early-stage breast cancer. Meta-analyses of procedure time, blood loss, length of incision, drainage duration, total postoperative drainage volume, average duration of hospital stay, positive rate of margin, complication rate, recurrence rate, metastasis rate and cosmetic scoring were performed. Totally 11 studies were included for meta-analysis. Compared with C-BCS, E-BCS exhibited significantly reduced incision length (WMD = -6.44, 95%CI: -10.78 to -2.11, P=0.004, I2 = 99.0%) and superior cosmetic scoring (WMD = 2.69, 95%CI: 1.46 to 3.93, P=0.001, I2 = 93.2%), but had significantly longer operation time (WMD = 34.22, 95%CI: 20.89~47.55, P=0.000, I2 = 90.7%) and blood loss (WMD = 3.65, 95%CI: -3.12 to 10.43, P=0.291, I2 = 86.8%). There was no significant difference in terms of recurrence rate, metastasis rate, positive rate of tumor resection margins, drainage duration, drainage volume, complication rate and hospital days. Our research findings indicate that E-BCS is a viable and secure method for treating breast cancer in its early stages. E-BCS provides distinct advantages in terms of the length of the incision and the aesthetic result, without demonstrating an elevated recurrence rate or metastasis rate. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024535164, identifier CRD42024535164.

Legal Implications and Challenges of Blockchain Technology and Smart Contracts

Blockchain technology and smart contracts have emerged as revolutionary tools with the potential to transform various industries by providing decentralized, transparent, and secure methods for recording transactions and automating contractual agreements. However, the adoption of these technologies also raises significant legal and regulatory challenges. This paper critically examines the legal implications and challenges associated with blockchain technology and smart contracts. Through an analysis of existing legal frameworks, case studies, and regulatory approaches across different jurisdictions, this study identifies key issues such as enforceability, jurisdiction, data privacy, and security. The paper also explores potential solutions and recommendations for addressing these challenges, aiming to contribute to the development of a robust legal framework that supports the responsible use of blockchain technology and smart contracts.

An Automated Data Deletion: A Secure Method for Multi-Cloud Security with Intrusion Detection System

An Automated Data Deletion: A Secure Method for Multi-Cloud Security with Intrusion Detection System

Emerging Authentication Technologies for Zero Trust on the Internet of Things

The large and interconnected nature of the Internet of Things (IoT) presents unique security challenges, even as it revolutionizes various sectors. With numerous devices, often limited in resources, traditional perimeter-based security methods struggle to keep pace. The “never trust, always verify” principle of zero trust security offers a viable solution. Zero trust security is a concept that has become increasingly popular, using key exchange techniques to ensure secure and authenticated communication within the network, especially in managing risks in critical infrastructure. Authentication is a process to identify an entity, a prerequisite for authorization, and essential for granting access control. It fundamentally relies on trust management and various methods to generate and manage cryptographic keys for authentication. The aim of this study is to enhance zero trust security in the context of the Internet of Things by investigating authentication methods and discussing several potential solutions for successful implementation. This study also presents the performance evaluation criteria for authentication in IoT and introduces advanced approaches for different scenarios, including lightweight cryptography, mutual authentication, and blockchain technology. Finally, we address challenges related to implementation and future directions for research.

Consumer Behavior in Online Shopping: A Comparative Analysis of Generational Differences

The consumer behavior in online shopping across different generations, focusing on Millennials, Generation X, and Baby Boomers. With the proliferation of e-commerce platforms, understanding how generational cohorts engage with online shopping is crucial for businesses aiming to effectively target and cater to diverse consumer preferences. Utilizing a quantitative research approach, this comparative analysis explores factors influencing online purchase decisions, including trust in online retailers, perceived risks, shopping motivations, and preferences for digital payment methods. variations in consumer behavior among generational cohorts. Millennials, characterized by their digital proficiency and preference for convenience, exhibit a higher propensity for online shopping and are more likely to embrace emerging technologies such as mobile commerce and social media influencers. In contrast, Generation X consumers prioritize product reviews and brand reputation when making online purchases, emphasizing trust and reliability in e-commerce transactions. Baby Boomers, while increasingly adopting online shopping for convenience, express concerns about data security and prefer traditional payment methods.

Adaptive Merkle trees for enhanced blockchain scalability

The scalability of blockchain technology remains a critical challenge, hindering its widespread adoption across various sectors. This study introduces an innovative approach to address this challenge by proposing the adaptive restructuring of Merkle trees, fundamental components of blockchain architecture responsible for ensuring data integrity and facilitating efficient verification processes. Unlike traditional static tree structures, our adaptive model dynamically adjusts the configuration of these trees based on usage patterns, significantly reducing the average path length required for verification and, consequently, the computational overhead associated with these processes. Through a comprehensive conceptual framework, we delineate the methodology for adaptive restructuring, encompassing both binary and non-binary tree configurations. This framework is validated through a series of detailed examples, demonstrating the practical feasibility and the efficiency gains achievable with our approach. To empirically assess the effectiveness of our proposed method, we conducted rigorous experiments using real-world data from the Ethereum blockchain. The results provide compelling evidence for the superiority of adaptive Merkle trees, with efficiency gains of up to 30% and higher observed during the initial stages of tree restructuring. Moreover, we present a comparative analysis with existing scalability solutions, highlighting the unique advantages of adaptive restructuring in terms of simplicity, security, and efficiency enhancement without introducing additional complexities or dependencies. This study’s implications extend beyond theoretical advancements, offering a scalable, secure, and efficient method for blockchain data verification that could facilitate broader adoption of blockchain technology in finance, supply chain management, and beyond. As the blockchain ecosystem continues to evolve, the principles, methodologies, and empirical findings outlined herein are poised to contribute significantly to its growth and maturity. Statement The findings of this article were presented at ETHDenver 2024 (https://www.ethdenver.com/), a leading innovation festival that champions the Web3 community’s role in shaping the future of blockchain technology. A video of our presentation can be found at https://www.youtube.com/watch?v=-jjYVCAQkNE. The original manuscript of this article is available on the preprint archive at https://arxiv.org/abs/2403.00406.

Narrative patent review of penile clamp, artificial urinary sphincter, and sling innovation in the management of male stress urinary incontinence.

Stress urinary incontinence (SUI) is the involuntary loss of urine affecting 1-3% of the male population. To manage leakage, patients may try a plethora of penile clamps. and may even consider artificial urinary sphincters (AUS) or sling implantation. We aimed to synthesize the evolution of the modern clamp, AUS, and sling through a comprehensive patent search. Patents were found through the databases of United States Patent and Trademark Office (USPTO), GooglePatents, and the World Intellectual Property Office Patentscope, covering patents published through January 6, 2024. We found 30 different patents (10 clamps, 13 AUS, and 7 slings), including the patents pertaining to the functionalities and design of five commercially available penile clamps, the American Medical System 800 (AMS 800), the InVance, AdVance, AdVance XP, and Virtue Slings. The clamps, spanning back to 1938 with Bard Cunningham's clamp, have undergone significant refinements. For example, inventors such as Edson S. Outwin and Juan F. V. Wiesner, have modified the location of the primary pressure point. Accessibility has also improved with inventors, such as Gerald French and John W. Timmons, fastening the clamps with Velcro®, as opposed to the screw and ratchet catch closing mechanism, as in Cunningham's clamp. Similarly, the AUS has greatly evolved since Foley's 1947 "Artificial Sphincter and Method", which was the primary AUS precedent to Mark Polyak's AUS invention, which covered the essential elements and functionalities, such as the incorporation of a balloon reservoir, for the AMS 800. In addressing AUS limitations, inventors such as David W. Anderson and Louisa Thomas have created non-hydraulic AUSs. Likewise, the male sling has seen an evolution in the method of securement, from the use of fixed bone anchors in the InVance sling to the transobturator route used in the AdVance XP, avoiding bone complications. Additionally, innovation in sling adjustment of urethral compression allows for adjustable urethral elevation and distal compression respectively. Recent patents have claimed technological integration for clamps, AUS, and slings, especially concerning automation. Overall, patents have built upon the limitations of previous devices. However, there is still a need to innovate for increased clamp comfort and reduced reoperation rates for the AUS and sling.

Blockchain and ML in land registries a transformative alliance

This study presents a novel method for merging blockchain security and machine learning (ML) valuation to update land register systems. The system offers a safe, open, and effective framework for documenting and managing land ownership, addressing issues with conventional land registry procedures. Blockchain technology creates a tamper-proof record by cryptographically combining transactions and time-stamped entries to provide an immutable and decentralized ledger. In addition to building a solid foundation for the land registry system, this strengthens trust. Simultaneously, ML algorithms examine variables such as amenities and location to remove inflated pricing, providing accurate assessments and encouraging openness in the real estate sector. The system has been put into practice and verified in small-scale applications. Its features include enhanced data security, expedited ownership transfers, and accurate asset appraisals. Collaboration between governments, regulatory agencies, and technology suppliers is necessary for widespread deployment. Land registration procedures will change as a result of the revolutionary partnership between blockchain and ML technology, which offers a more effective, safe, and future-ready environment. Accepting this ground-breaking technique establishes a new benchmark for the updating of land ownership data and is a major step toward a more sophisticated and dependable method in the industry.

Ecological and geological security risk assessment of underground space development in cold and arid canyon cities-Taking Ping'an District, Haidong City, Qinghai Province, as an example.

The ecological and geological problems caused by the rise of groundwater level due to the development of underground space in cold and arid canyon cities are particularly typical. Reasonably assessing the ecological and geological security risks of utilizing underground space is conducive to reducing the occurrence of ecological and geological problems during the construction and operation of underground engineering projects. Taking Ping'an District of Haidong City as an example, the topography and geomorphology of the research area were investigated in the field, and the distribution of topography and geomorphology in the research area was understood; through geological drilling and geotechnical engineering testing, the distribution of different strata in the research area was obtained; through pumping and seepage experiments, the recharge, runoff, and discharge relationship between surface water and groundwater in the research area and the water abundance of different strata are obtained, and the causes and mechanisms of geological safety risks in forest and grassland ecosystems, farmland ecosystems, and human settlements ecosystems were analyzed based on literature. Corresponding ecological geological safety risk assessment index systems and methods were established, and the ecological geological safety risks before and after the development of underground rail transit projects along both banks of the Huangshui River in the study area were evaluated. PRACTITIONER POINTS: The development of underground space in canyon type cities can easily lead to ecological and geological problems. Taking Haidong City, Qinghai Province, as an example, this study investigates the causes of ecological and geological problems caused by the development of underground spaces in canyon type cities. An ecological geological security risk assessment index system and method for canyon-type cities were established. An evaluation was conducted on the ecological and geological safety risks before and after the development of the underground rail transit projects on both sides of the research area.

Shared Access to Adults' Patient Portals: A Secret Shopper Exercise.

Millions of Americans manage their health care with the help of a trusted individual. Shared access to a patient's online patient portal is one tool that can assist their care partner(s) in gaining access to the patient's health information and allow for easy exchange with the patient's care team. Shared access provides care partners with a validated and secure method for accessing the patient's portal account using their own login credentials. Shared access provides extra privacy protection and control to the patient, who designates which individuals can view their record. It also reduces confusion for the care team when interacting with the care partner via the portal. Shared access is underutilized among adult patients' care partners. Investigate the process of granting or receiving shared access at multiple health care organizations in the United States to learn about barriers and facilitators experienced by patients and care partners. The Shared Access Learning Collaborative undertook a "Secret Shopper" exercise. Participants attempted to give or gain shared access to another adult's portal account. After each attempt they completed a 14-question survey with a mix of open- and closed-ended questions. Eighteen participants attempted to grant or receive shared access a total of 24 times. Fifteen attempts were successful. Barriers to success included requiring paper forms with signatures, lack of knowledgeable staff, lack of access to technical support, and difficult-to-navigate technology. Facilitators included easy-to-navigate online processes and accessible technical help. Participants who were successful in gaining shared access reported feeling more informed and able to engage in shared decision-making. The outcomes of our secret shopper exercise underscore the importance of collaboration aimed at learning from diverse encounters and disseminating the best practices. This is essential to address technical, informational, and organizational obstacles that may impede the widespread and accessible adoption of shared access.

Biometric based payment system

The increasing need for secure and convenient payment methods has fueled the exploration of biometric authentication systems. This paper presents a Biometric Based Payment System designed to streamline transactions while prioritizing security. The system employs a fingerprint sensor (R307) to ensure robust user identification, complemented by a 4x4 keypad for versatile input and an I2C OLED display for clear feedback. At its core, the system leverages an ESP32 microcontroller and robust SHA-256 encryption to protect sensitive information during storage and transmission. Transaction data resides in a centralized MySQL database on an Apache server, and users manage payment history through a web interface. The system emphasizes security and ease of use, with the potential for future exploration of multi-factor authentication, offline capabilities, and blockchain integration to further enhance its robustness

Optical double-image cryptosystem based on a joint transform correlator in a linear canonical domain

In this work, we present a new optical double-image encryption method based on a joint transform correlator (JTC) and the linear canonical domain for the simultaneous authentication of two images. This new extension of the encryption system overcame the vulnerability of the method based on the JTC and the conventional 4f-optical processor in the Fourier domain. Although the simultaneous authentication process is satisfied in the Fourier domain, the data content is partially disclosed in false validation. Therefore, we introduce a quadratic phase encryption system of the linear canonical transform (LCT) domain in this method. The linear canonical transform domain adds more degrees of freedom to the security method due to the six LCT orders. In addition, the double-image encryption scheme became secure against intruder attacks, and it was difficult to recognize confidential information during the negative validation process. A cryptanalysis is performed in terms of a chosen-plaintext attack (CPA) and chosen-ciphertext attack (CCA). Numerical simulations demonstrate the feasibility, security, and effectiveness of the proposed system.

Advancing XSS Detection in IoT over 5G: A Cutting-Edge Artificial Neural Network Approach

The rapid expansion of the Internet of Things (IoT) and the advancement of 5G technology require strong cybersecurity measures within IoT frameworks. Traditional security methods are insufficient due to the wide variety and large number of IoT devices and their limited computational capabilities. With 5G enabling faster data transmission, security risks have increased, making effective protective measures essential. Cross-Site Scripting (XSS) attacks present a significant threat to IoT security. In response, we have developed a new approach using Artificial Neural Networks (ANNs) to identify and prevent XSS breaches in IoT systems over 5G networks. We significantly improved our model’s predictive performance by using filter and wrapper feature selection methods. We validated our approach using two datasets, NF-ToN-IoT-v2 and Edge-IIoTset, ensuring its strength and adaptability across different IoT environments. For the NF-ToN-IoT-v2 dataset with filter feature selection, our Bilayered Neural Network (2 × 10) achieved the highest accuracy of 99.84%. For the Edge-IIoTset dataset with filtered feature selection, the Trilayered Neural Network (3 × 10) achieved the best accuracy of 99.79%. We used ANOVA tests to address the sensitivity of neural network performance to initial conditions, confirming statistically significant improvements in detection accuracy. The ANOVA results validated the enhancements across different feature selection methods, demonstrating the consistency and reliability of our approach. Our method demonstrates outstanding accuracy and robustness, highlighting its potential as a reliable solution for enhancing IoT security in the era of 5G networks.

Multi-scale convolutional auto encoder for anomaly detection in 6G environment

With the increasing deployment of 6G networks in all industries, there is a growing risk of vulnerability and complexity due to continuous data flow from edge devices to specialized computers. One potential threat to 6G networks is fuzzing attacks, which involve sending random and invalid inputs to identify vulnerabilities and flaws. A successful fuzzing attack could compromise the network’s protocols, interfaces, and security mechanisms, leading to potential disruption or compromise of critical infrastructure. The proposed framework involves gathering relevant data from different sources within the 6G network and pre-processing it to prepare for analysis. Relevant features that indicate the presence of anomalies are identified using Tuna Swarm Optimization (TSO) Algorithm. The Multi-Scale Convolutional Auto Encoder (MSCAE) is then utilized by the proposed model to extract the feature and classify data. The intrusion Detection System is built to monitor and classify nodes producing anomalies. The proposed model is assessed utilizing various metrics, including recall, precision, accuracy, detection latency, and F1 score. The proposed framework achieved 97.50% accuracy, 94.81% precision, 93.50% F1-score, and 94.50% recall with notable improvements that surmount the deficiencies of previous studies. The results demonstrate that the proposed algorithm is more efficient and safe than current edge security methods, potentially mitigating the risk of fuzzing attacks in 6G networks.

Study on the temperature field and infrared characteristics of unsaturated soils with shallow buried objects at different depths

Beneath the soil, there exist numerous concealed objects, some of which, like landmines, pose a considerable threat to human life. Infrared detection serves as a swift and secure method for detecting such hazards. However, in many current studies, the soil is often oversimplified as a single entity, overlooking the crucial internal moisture transport and phase transitions. In this paper, we propose a soil heat and moisture migration model, along with a ground infrared radiation model. Our comparisons with previous research reveal that the internal water movement, evaporation, and condensation processes in the soil have a profound influence on the soil's temperature field and infrared signature. To validate our model's reliability, we conducted three experiments with metal blocks buried 1 cm deep, having initial moisture contents of 0 %, 10 % and 20 %. A comparison of the simulation and experimental results confirms the credibility of our proposed model. Through simulations, we analyzed the daily variations in ground surface IR radiation, the effect of varying burial depths, and the influence of differing initial moisture contents. Our findings reveal that, when starting with zero initial soil moisture content, an increase in burial depth from 1 cm to 5 cm results in a substantial decrease in the peak difference between the surface center temperature and ambient temperature, dropping from 20.91 K to 5.35 K. Consequently, the optimal detection time shifts from 12:00 to 14:00 On the other hand, keeping the burial depth constant at 1 cm and increasing the initial soil moisture content from 5 % to 20 % leads to a reduction in the maximum temperature difference from 17.54 K to 12.48 K, while the optimal detection time remains unaffected. This study can provide data support for underground buried object detection and improve the accuracy of detection.