Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology

Wu, Hongjiao; Dwivedi, Ashutosh Dhar; Srivastava, Gautam

doi:10.1145/3408321

Cited by 46 publications

(36 citation statements)

References 31 publications

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“…(2) Create a data dictionary: the technical indexes of volleyball by category, name, and order of various gymnastic movements unified code, stored in the data dictionary, and organized into the database according to the data table structure requirements [17]. (3) Multimedia data entry [18]: the system has three innovations: first, it does not perform any user environment maintenance; second, in addition to the basic data (data describing the functions), control data are added to the database.…”

Section: Establish Multimedia Networkmentioning

confidence: 99%

On the Design of Assistant Teaching Using Network Multimedia Database in Volleyball Teaching

Yin

Song

2022

Security and Communication Networks

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Physical education is an important part of school’s physical education and practical teaching activity. There are many restricting factors in physical education, such as the type of equipment and environmental conditions. The standardization of volleyball teaching technology has become the primary factor affecting teaching efficiency. Teachers demonstrate that the action is not standard and will lead students to learn that the technical action is not in place, and teachers can show students standardized technical action through multimedia technology, for example, through the video of athletes. The spatiotemporal nature presented in volleyball technology teaching affects students’ understanding and mastering of technology, using network multimedia system-assisted volleyball training teaching, using the advantages of network multimedia, volleyball teaching students difficult to understand the technical action of the intuitive display, improve students’ independent learning ability. This thesis studies the application of multimedia technology in the training and teaching of physical volleyball in colleges and universities. It analyzes the application of multimedia technology in the training and teaching of physical volleyball in colleges and universities, so as to provide useful references for the teaching reform of physical volleyball in colleges and universities.

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Section: Establish Multimedia Networkmentioning

confidence: 99%

On the Design of Assistant Teaching Using Network Multimedia Database in Volleyball Teaching

Yin

Song

2022

Security and Communication Networks

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“…The paper further aims at improving the potential of its architecture to be enabled in various healthcare devices. These IoT devices would allow users to curate vital data, which in turn would assist in decision making [ 36 , 37 , 38 , 39 ].…”

Section: Future Workmentioning

confidence: 99%

ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning

Chowdhury

Das²,

Dey

et al. 2022

Sensors

Self Cite

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Many patients affected by breast cancer die every year because of improper diagnosis and treatment. In recent years, applications of deep learning algorithms in the field of breast cancer detection have proved to be quite efficient. However, the application of such techniques has a lot of scope for improvement. Major works have been done in this field, however it can be made more efficient by the use of transfer learning to get impressive results. In the proposed approach, Convolutional Neural Network (CNN) is complemented with Transfer Learning for increasing the efficiency and accuracy of early detection of breast cancer for better diagnosis. The thought process involved using a pre-trained model, which already had some weights assigned rather than building the complete model from scratch. This paper mainly focuses on ResNet101 based Transfer Learning Model paired with the ImageNet dataset. The proposed framework provided us with an accuracy of 99.58%. Extensive experiments and tuning of hyperparameters have been performed to acquire the best possible results in terms of classification. The proposed frameworks aims to be an efficient tool for all doctors and society as a whole and help the user in early detection of breast cancer.

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“…With the recent growth in the blockchain territory and the rise of decentralized finance (DeFi) and cryptocurrencies, the occurrences of 51% attacks on different blockchains have seen a dramatic increase in recent years. In addition to that, the relevance of blockchains has been on a significant rise in the recent decade, with many solutions tomodern problems being based on the blockchain technology [ 42 , 43 ]. Smaller blockchains with a low hashrate are more vulnerable to such attacks, as a lower hashrate means less processing power is needed to validate and add transactions to the blockchain.…”

Section: Use Cases and Scopementioning

confidence: 99%

n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications

Gupta

Sharma

Tripathi

et al. 2022

Sensors

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This paper provides a conceptual foundation for stochastic duels and contains a further study of the game models based on the theory of stochastic duels. Some other combat assessment techniques are looked upon briefly; a modern outlook on the applications of the theory through video games is provided; and the possibility of usage of data generated by popular shooter-type video games is discussed. Impactful works to date are carefully chosen; a timeline of the developments in the theory of stochastic duels is provided; and a brief literature review for the same is conducted, enabling readers to have a broad outlook at the theory of stochastic duels. A new evaluation model is introduced in order to match realistic scenarios. Improvements are suggested and, additionally, a trust mechanism is introduced to identify the intent of a player in order to make the model a better fit for realistic modern problems. The concept of teaming of players is also considered in the proposed mode. A deep-learning model is developed and trained on data generated by video games to support the results of the proposed model. The proposed model is compared to previously published models in a brief comparison study. Contrary to the conventional stochastic duel game combat model, this new proposed model deals with pair-wise duels throughout the game duration. This model is explained in detail, and practical applications of it in the context of the real world are also discussed. The approach toward solving modern-day problems through the use of game theory is presented in this paper, and hence, this paper acts as a foundation for researchers looking forward to an innovation with game theory.

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Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology

Cited by 46 publications

References 31 publications

On the Design of Assistant Teaching Using Network Multimedia Database in Volleyball Teaching

On the Design of Assistant Teaching Using Network Multimedia Database in Volleyball Teaching

ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning

n-Player Stochastic Duel Game Model with Applied Deep Learning and Its Modern Implications

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