MATADOR: a magic matrix-based framework for tamper detection and image recovery by Thilina Mendis, Farah Kandah, Lalith Medury

“…Abstract Ensuring the integrity and authenticity of digital medical images is crucial for healthcare security and digital forensics, as image tampering can have serious consequences. Traditional methods often struggle to detect subtle, localized manipulations, leaving critical vulnerabilities. …”
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Classification of Authentic and Tampered Video Using Motion Residual and Parasitic Layers by Mubbashar Saddique, Khurshid Asghar, Usama Ijaz Bajwa, Muhammad Hussain, Hatim A. Aboalsamh, Zulfiqar Habib

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Research on Sleeper Detection Scheme Based on Image and Laser Multi-data Fusion by LIU Yuanming, ZHANG Lei

Subjects: “…non-contact detection…”
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Viridans Streptococcal Biofilm Evades Immune Detection and Contributes to Inflammation and Rupture of Atherosclerotic Plaques by Pekka J. Karhunen, Tanja Pessi, Sohvi Hörkkö, Vesa Karhunen, Sirkka Goebeler, Anne‐Mari Louhelainen, Mika Martiskainen, Teppo Haapaniemi, Johanna Lappeteläinen, Tommi Ijäs, Leo‐Pekka Lyytikäinen, Emma Raitoharju, Thanos Sioris, Sari Tuomisto, Heini Huhtala, Chunguang Wang, Claudia Monaco, Niku Oksala, Terho Lehtimäki, Reijo Laaksonen

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Research on airport baggage anomaly retention detection technology based on machine vision, edge computing, and blockchain by Yuzhou Chen, Gang Mao, Xue Yang, Mingqian Du, Hongqing Song

“…To address this challenge, this paper proposes a real‐time detection and alerting of luggage anomaly retention based on the YOLOv5 object detection model, leveraging visual algorithms. …”
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Enhancing anomaly detection and prevention in Internet of Things (IoT) using deep neural networks and blockchain based cyber security by Sathyabama A R, Jeevaa Katiravan

“…Unlike traditional rule-based intrusion detection systems (IDS), the DNN continuously learns and adapts to new attack patterns, improving detection accuracy and false-positive reduction. …”
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Prevalence and risk factors of thoracic aortic dilatation detected incidentally in adjuvant radiotherapy planning CT scans in patients with breast cancer by Aada Lattu, Petteri Kauhanen, Ari Mennander, Marja Hedman, Mona Laaksonen, Irina Rinta-Kiikka, Tanja Skyttä, Otso Arponen

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SmartTrust: a hybrid deep learning framework for real-time threat detection in cloud environments using Zero-Trust Architecture by Umesh Kumar Lilhore, Sarita Simaiya, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi, Md Monish Khan

“…To ensure transparency and tamper-proof event tracking, the framework also incorporates blockchain-based logging that is aligned with ZTA compliance. …”
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Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

“…Electricity fraud deliberately manipulates electricity consumption data, such as meter tampering and unauthorized bypassing, to reduce recorded usage. …”
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Hybrid deep learning-enabled framework for enhancing security, data integrity, and operational performance in Healthcare Internet of Things (H-IoT) environments by Nithesh Naik, Neha Surendranath, Sai Annamaiah Basava Raju, Chennaiah Madduri, Nagaraju Dasari, Vinod Kumar Shukla, Vathsala Patil

“…Abstract The increasing reliance on Human-centric Internet of Things (H-IoT) systems in healthcare and smart environments has raised critical concerns regarding data integrity, real-time anomaly detection, and adaptive access control. Traditional security mechanisms lack dynamic adaptability to streaming multimodal physiological data, making them ineffective in safeguarding H-IoT devices against evolving threats and tampering. …”
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Region-Based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT by Priyanka Singh, K. Jyothsna Devi, Hiren Kumar Thakkar, Ketan Kotecha

“…To ascertain integrity of RoI, tamper detection and recovery bits are embedded in RoI in the medical image. …”
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HalalChain: A decentralized blockchain model for enhanced data integrity, real-time compliance, and automated verification in halal food supply chain by Muhammad Muntasir Yakubu, Mohd Fadzil B Hassan, Kamaluddeen Usman Danyaro, Bello Musa Yakubu, Abdullah Abdulrahman Alabdulatif, S. Zulaikha Beevi, Aliyu Garba

“…Experimental evaluations demonstrate HalalChain’s superiority over existing models (AgriFoodCredChain, AgriBlockIoT), achieving a 99.8 % tamper detection rate, transaction throughput (38 TPS), consensus times of 1.2–2.5 s, 98 % validator approval rate, and optimal compliance adherence under varying loads. …”
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Characterization of methicillin resistant Staphylococcus Aureus in municipal wastewater in Finland by Ahmad Ibrahim Al-Mustapha, Ananda Tiwari, Venla Johansson, Viivi Heljanko, Lehto Kirsi-Maarit, Anssi Lipponen, Sami Oikarinen, Tarja Pitkänen, Annamari Heikinheimo

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The prevalence of nine human herpesviruses in urogenital samples from young women in Finland by Hanna Välimaa, Tiina Eriksson, Matti Lehtinen, Ville N. Pimenoff, Mirja Puolakkainen

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A process-based competence evaluation for evidence-based dissemination (PROCEED): a study protocol by Simone Gorinelli, Essi Sairanen, Stefan G. Hofmann, Joseph Ciarrochi, Martti T. Tuomisto, Katariina Keinonen

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