25,574 research outputs found
Secure-Medishare: A Comprehensive Secure Medical Data-Sharing System Using Blockchain, Watermarking, Steganography, And Optimized Hybrid Cryptography
Medical data plays a crucial role in healthcare, enabling accurate diagnosis, treatment planning, and research. However, the secure sharing of sensitive medical data and images remains a significant challenge. Existing techniques often fall short in terms of protecting data integrity, confidentiality, and authenticity. To address these limitations, this paper introduces Secure-Medishare, a novel secure medical data-sharing system that integrates blockchain technology, watermarking, steganography, and enhanced cryptography. The proposed Secure-Medishare system aims to provide robust security mechanisms for medical data sharing. Unlike centralized systems, which are susceptible to single points of failure and unauthorized access, Secure-Medishare utilizes blockchain technology to ensure decentralized and tamper-resistant storage and sharing of medical data. Secure-Medishare employs watermarking for data integrity and authentication and steganography for confidential transmission of metadata, ensuring authenticity, privacy, and confidentiality of medical data. Furthermore, an optimized hybrid cryptography technique is implemented to secure the transmission and storage of medical data, safeguarding confidentiality and privacy. Secure-Medishare offers several advantages over existing techniques. It provides enhanced security and privacy protection, efficient data sharing and retrieval, and improved trust among healthcare providers. The system ensures the integrity and authenticity of medical data, preventing unauthorized modifications or tampering. Additionally, the decentralized nature of blockchain technology reduces the risk of data breaches and single points of failure. Experimental results show that Secure-Medishare generates hashes quickly, taking only 65 milliseconds for 100 blocks. Optimized hybrid cryptography used in Secure-Medishare also outperforms other cryptography combinations, with encryption and decryption times of 5.635 seconds for 96-bit data. These findings highlight the efficiency and effectiveness of Secure-Medishare for secure medical data and image sharing. The experimental evaluation confirms that Secure-Medishare is a reliable and robust solution for secure medical data sharing in healthcare environments
On the Use of XML in Medical Imaging Web-Based Applications
The rapid growth of digital technology in medical fields over recent years has increased the need for applications able to manage patient medical records, imaging data, and chart information. Web-based applications are implemented with the purpose to link digital databases, storage and transmission protocols, management of large volumes of data and security concepts, allowing the possibility to read, analyze, and even diagnose remotely from the medical center where the information was acquired. The objective of this paper is to analyze the use of the Extensible Markup Language (XML) language in web-based applications that aid in diagnosis or treatment of patients, considering how this protocol allows indexing and exchanging the huge amount of information associated with each medical case. The purpose of this paper is to point out the main advantages and drawbacks of the XML technology in order to provide key ideas for future web-based applicationsPeer ReviewedPostprint (author's final draft
Kecerdasan matematik-logik dalam kalangan pelajar sarjana Pendidikan Teknik dan Vokasional UTHM
Kecerdasan matematik-logik sering dikaitkan dengan penguasaan pelajar dalam subjek
matematik. Pencapaian pelajar, khususnya pelajar Sarjana Pendidikan Teknik dan
Vokasional, Universiti Tun Hussein Onn Malaysia (UTHM) dalam kursus Statistik dalam
Penyelidikan sedikit sebanyak mempengaruhi pencapaian akademik pelajar. Oleh itu,
kajian ini dijalankan untuk mengkaji pengaruh kecerdasan matematik-logik terhadap
pencapaian pelajar dalam kursus Statistik dalam Penyelidikan. Kajian berbentuk tinjauan
secara kuantitatif untuk melihat hubungan diantara dua pembolehubah iaitu pembolehubah
tidak bersandar (kecerdasan matematik-logik) dan pembolehubah bersandar (penguasaan
pelajar dalam kursus Statistik dalam Penyelidikan). Persampelan rawak mudah digunakan
dalam kajian ini dengan mengambil sampel seramai 108 orang pelajar Sarjana Pendidikan
Teknik dan Vokasional sebagai responden kajian. Data diperoleh daripada sampel dengan
menggunakan borang soal selidik yang diolah berdasarkan alat pengukuran kecerdasan
MIDAS (Multiple Intelligence Development Assessment Scales). Data dianalisis
menggunakan perisian SPSS (Statistical Package for Social Science) versi 16.0 yang
melibatkan ujian statistik skor min dan kolerasi pangkat Spearman. Hasil dapatan kajian
menunjukkan tahap kecenderungan kecerdasan matematik-logik pelajar berada pada tahap
yang tinggi dan mempunyai hubungan yang signifikan dengan pencapaian pelajar dalam
kursus Statistik dalam Penyelidikan. Berdasarkan dapatan kajian boleh disimpulkan
bahawa kecerdasan matematik-logik dapat dijadikan kayu ukur dalam memastikan
kejayaan pelajar
Fragmentation of confidential objects for data processing security in distributed systems
This paper discusses how object orientation in application design enables confidentiality aspects to be handled more easily than in conventional approaches. The idea, based on object fragmentation at design time, is to reduce processing in confidential objects; the more non confidential objects can be produced at design-time, the more application objects can be processed on untrusted shared computers. Still confidential objects must be processed on non shared trusted workstations. Rules and limits of object fragmentation are discussed together with some criteria evaluating trade-offs between fragmentation and performance
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