Forensic identification of vulnerabilities in Ethereum based smart contract has received
significant interest among security agencies and researchers because it normally manages …

大数据时代背景下, 数据安全面临严峻挑战, 隐私计算能够解决这一问题. 隐私计算是在保护数据
不外泄的前提下实现对数据计算分析的信息技术. 区块链拥有不可篡改, 可追溯等特性 …

Smart contracts are a set of instructions or programs that are stored on the blockchain
network and run when predetermined conditions are met. Ethereum smart contracts are …

With the continuous development and wide application of blockchain technology, the privacy
leakage problem it faces is becoming more and more prominent, which must be paid great …

Emergency situations, such as accidents, explosions, or earthquakes, pose significant
challenges for healthcare providers as patients arrive at hospitals with little to no prior …

Data privacy preservation and secure sharing are key technical challenges faced by smart
wearable healthcare IoT systems. Blockchain technology enables privacy preservation for …

The integration of depth-sensing technologies is revolutionizing a multitude of AI
applications, from robotics to healthcare. This study delves into the intricacies of decision …

Enhancing the security analysis of smart contracts, particularly in Ethereum, by extending
the widely used Oyente tool is the main objective of this paper. The primary motivation stems …

In today's digital world, the e-healthcare system has increased the patient data in vast
amount. Protecting this confidential patient data from unauthorized access and tampering is …

Data-driven problem-solving requires the capacity to use cutting-edge computational
methods to explain fundamental phenomena to a large audience. These facilities are …