Security Evaluation of Provably Secure ECC-Based Anonymous Authentication and Key Agreement Scheme for IoT

Sensors, Год журнала: 2025, Номер 25(1), С. 237 - 237

Опубликована: Янв. 3, 2025

The proliferation of the Internet Things (IoT) has worsened challenge maintaining data and user privacy. IoT end devices, often deployed in unsupervised environments connected to open networks, are susceptible physical tampering various other security attacks. Thus, robust, efficient authentication key agreement (AKA) protocols essential protect privacy during exchanges between devices servers. previous work “Provably Secure ECC-Based Anonymous Authentication Key Agreement for IoT” proposed a novel AKA scheme secure environments. They claimed their protocol offers comprehensive features, guarding against numerous potential flaws while achieving session security. However, this paper demonstrates through logical mathematical analyses that is vulnerable We conducted analysis using extended Canetti Krawczyk (eCK) model, which widely employed evaluations. This model considers scenarios where an attacker complete control over network, including ability intercept, modify, delete messages, also accounting exposure ephemeral private keys. Furthermore, we show fails meet critical requirements relies on flawed assumptions. prove our findings automated validation internet applications, recognized formal verification tool. To strengthen attack resilience, propose several recommendations advancement more robust specifically designed

Язык: Английский

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Novel disctete grey Bernoulli seasonal model with a time powter term for predicting monthly carbon dioxide emissions in the United States

Frontiers in Environmental Science, Год журнала: 2025, Номер 12

Опубликована: Янв. 3, 2025

This study proposes a more efficient discrete grey prediction model to describe the seasonalvariation trends of carbon dioxide emissions. The setting bernoulli parameter and time powerterm in new ensures that can capture trend nonlinear changesin sequence. At same time, inclusion dummy variables allows for direct simulationof seasonal fluctuations emissions without need additional treatment theseasonality optimal search model’s hyperparameters is achieved using MPA algorithm. constructed applied monthly U.S. datafrom January 2003 December 2022, total 240 months. trained on 216 months 2020, data from 2021 2022 usedfor prediction, which then compared with actual values. results show proposed modelexhibits higher forecasting performance SARIMA other models. Therefore, this methodcan effectively simulate variation emissions, providing valuablereference information relevant departments formulate effective policies.

Язык: Английский

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A contracted container-based code component collaboration model with reusable but invisible right management

Information Processing & Management, Год журнала: 2025, Номер 62(3), С. 104057 - 104057

Опубликована: Янв. 8, 2025

Язык: Английский

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DP-SGD-global-adapt-V2-S: Triad improvements of privacy, accuracy and fairness via step decay noise multiplier and step decay upper clipping threshold

Electronic Commerce Research and Applications, Год журнала: 2025, Номер unknown, С. 101476 - 101476

Опубликована: Фев. 1, 2025

Язык: Английский

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A Fuzzy-Bayesian belief network approach to compute efficiency as a metric for IoT systems

Soft Computing, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Язык: Английский

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Professional demand analysis for teaching Chinese to speakers of other languages: a text mining approach on internet recruitment platforms

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Март 5, 2025

The rapid development of international education in China highlights the growing importance employment analysis Teaching Chinese to Speakers Other Languages (TCSOL). This study explores enterprise demands for TCSOL professionals using text mining techniques analyze recruitment data collected from four major platforms: Boss Zhipin, Zhaopin.com, 51job.com, and Liepin.com. Combining descriptive statistics, LDA topic modeling, BERT-BiLSTM-CRF-based named entity recognition, co-occurrence network were used. Results show that there is a high demand professionals, especially small-scale enterprises located first-tier cities such as Beijing, Shanghai, Guangzhou, Shenzhen. Employers tend favor candidates with at least bachelor's degree 1–3 years work experience. model highlighted three central themes job descriptions, emphasizing shift toward more diverse skill set. Named recognition identified essential attributes "communication ability", "teaching experience", "bachelor's or above" "responsibility" core requirements. revealed "teaching" "priority" nodes. Time series showed seasonal fluctuations demand, peaking during spring graduation periods. A hierarchical talent proposed, integrating perspectives employers, seekers, educators, policymakers. provides valuable insights aspiring offering guidance better align training market needs improve prospects.

Язык: Английский

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Investigating the Influence of Augmented Reality Marketing Application on Consumer Purchase Intentions: A Study in the E-commerce Sector

Computers in Human Behavior Reports, Год журнала: 2025, Номер unknown, С. 100648 - 100648

Опубликована: Март 1, 2025

Язык: Английский

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STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent

Sensors, Год журнала: 2025, Номер 25(6), С. 1852 - 1852

Опубликована: Март 17, 2025

The rapid evolution of IoT environment in medical and industrial applications has led to an increase network vulnerabilities, making intrusion detection system a critical requirement. Existing methods often struggle capturing complex irregular patterns from dynamic data, them not suitable for different applications. To address these limitations, this work proposes STID-Net that integrated customized convolutional kernels spatial feature extraction LSTM layers temporal sequence modelling. Unlike traditional models, improved ability identify datasets. This is also equipped with attention mechanism enhancing the long-term dependencies patterns. experimented MBGD SGD optimizers, we are satisfied performance optimizer both IoMT IIoT optimized model provides faster convergence better weight adjustments handling noisy datasets, it robust scalable diverse experimental demonstrates accuracy 97.14% 97.85% while attained 98.58% 99.15% optimization, respectively. proposed methodology outperforms standalone CNN models incorporated result indicates robustness scalability

Язык: Английский

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The competition between human and AI streamers: live streaming strategies in a duopoly market considering consumer heterogeneity

Acta Psychologica, Год журнала: 2025, Номер 256, С. 105040 - 105040

Опубликована: Май 2, 2025

Язык: Английский

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Exploring the impact of certainty language style in social media influencers-generated content on consumers’ purchase behavior

Journal of Research in Interactive Marketing, Год журнала: 2025, Номер unknown

Опубликована: Май 29, 2025

Purpose The purpose of this study is to investigate the impact language style certainty in social media influencers’ (SMIs) generated content on consumers’ purchase behavior. It aims provide insights into how use by SMIs influences perceptions and subsequent decisions context influencer marketing. Design/methodology/approach This research adopts a mixed-methods approach, combining field controlled experiment examine influence SMIs-generated involved analysis 17,920 real short video content, while allows for systematic examination effects style. Findings findings demonstrate that positively SMIs’ professional competence, leading increased Specifically, who employ are perceived as more professional, which impacts likelihood making purchases. Furthermore, weaker when labeled sponsored, consumers may perceive sponsored less authentic persuasive. Originality/value provides valuable can effectively craft promote behavior platforms. Additionally, highlights moderating role label, extending our understanding interplay between style, competence perception,

Язык: Английский

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