Cryptanalysis of Round-Reduced Fantomas, Robin and iSCREAM

Dwivedi, Ashutosh Dhar; Dhar, Shalini; Srivastava, Gautam; Singh, Rajani

doi:10.3390/cryptography3010004

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…It is worth noting here that the constraint of interference becomes a form of summation of simple variables. Thus, the SPI encryption method of interference quantization can be introduced to simplify the original data encryption interference problem [21][22][23][24][25][26].…”

Section: Security Encryption Methods Of Upimentioning

confidence: 99%

An Efficient Encryption Algorithm for the Security of Sensitive Private Information in Cyber-Physical Systems

2019

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The new developments in smart cyber-physical systems can be shown to include smart cities, Internet of things (IoT), and for the most part smart anything. To improve the security of sensitive personal information (SPI) in cyber-physical systems, we present some novel ideas related to the encryption of SPI. Currently, there are issues in traditional encryption methods, such as low speed of information acquisition, low recognition rate, low utilization rate of effective information resources, and high delay of information query. To address these issues, we propose a novel efficient encryption algorithm for the security of incremental SPI. First, our proposed method analyzes user information resources and determines valid data to be encrypted. Next, it uses adaptive acquisition methods to collect information, and uses our encryption method to complete secure encryption of SPI according to the acquisition results. Our experimental analysis clearly shows that the algorithm effectively improves the speed of information acquisition as well as effective information recognition rate, thus enhancing the security of SPI. The encryption model in turn can provide a strong guarantee for user information security.

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Section: Security Encryption Methods Of Upimentioning

confidence: 99%

An Efficient Encryption Algorithm for the Security of Sensitive Private Information in Cyber-Physical Systems

2019

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“…Lightweight security features: There are no security features embedded into the ABCanDroid Framework, but in the future a cryptographic security algorithm can be implemented to provide data privacy. Lightweight encryption techniques could be implemented for secure image encryption for the healthcare industry [ 44 , 45 , 46 , 47 , 48 ].…”

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

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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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“…Therefore, very lightweight encryption schemes are needed. Several encryption schemes [ 33 , 34 , 35 , 36 , 37 ] were presented in cryptography competitions for encryption algorithms [ 38 , 39 ]. With the growing number of resource-constrained devices in IoT, it becomes challenging to choose the encryption scheme based on system requirements.…”

Section: Our Systemmentioning

confidence: 99%

Internet of Things Based Blockchain for Temperature Monitoring and Counterfeit Pharmaceutical Prevention

Singh

Dwivedi

Srivastava

2020

Sensors

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139

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The top priority of today’s healthcare system is delivering medicine directly from the manufacturer to end-user. The pharmaceutical supply chain involves some level of commingling of a collection of stakeholders such as distributors, manufacturers, wholesalers, and customers. The biggest challenge associated with this supply chain is temperature monitoring as well as counterfeit drug prevention. Many drugs and vaccines remain viable within a specific range of temperatures. If exposed beyond this temperature range, the medicine no longer works as intended. In this paper, an Internet of Things (IoT) sensor-based blockchain framework is proposed that tracks and traces drugs as they pass slowly through the entire supply chain. On the one hand, these new technologies of blockchain and IoT sensors play an essential role in supply chain management. On the other hand, they also pose new challenges of security for resource-constrained IoT devices and blockchain scalability issues to handle this IoT sensor-based information. In this paper, our primary focus is on improving classic blockchain systems to make it suitable for IoT based supply chain management, and as a secondary focus, applying these new promising technologies to enable a viable smart healthcare ecosystem through a drug supply chain.

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Cryptanalysis of Round-Reduced Fantomas, Robin and iSCREAM

Cited by 12 publications

References 18 publications

An Efficient Encryption Algorithm for the Security of Sensitive Private Information in Cyber-Physical Systems

An Efficient Encryption Algorithm for the Security of Sensitive Private Information in Cyber-Physical Systems

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

Internet of Things Based Blockchain for Temperature Monitoring and Counterfeit Pharmaceutical Prevention

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