The Internet of Things (IoT) and Cloud computing are gaining popularity due to their numerous advantages, including the efficient utilization of internetand computing resources. In recent years, many more IoT applicat...The Internet of Things (IoT) and Cloud computing are gaining popularity due to their numerous advantages, including the efficient utilization of internetand computing resources. In recent years, many more IoT applications have beenextensively used. For instance, Healthcare applications execute computations utilizing the user’s private data stored on cloud servers. However, the main obstaclesfaced by the extensive acceptance and usage of these emerging technologies aresecurity and privacy. Moreover, many healthcare data management system applications have emerged, offering solutions for distinct circumstances. But still, theexisting system has issues with specific security issues, privacy-preserving rate,information loss, etc. Hence, the overall system performance is reduced significantly. A unique blockchain-based technique is proposed to improve anonymityin terms of data access and data privacy to overcome the above-mentioned issues.Initially, the registration phase is done for the device and the user. After that, theGeo-Location and IP Address values collected during registration are convertedinto Hash values using Adler 32 hashing algorithm, and the private and publickeys are generated using the key generation centre. Then the authentication is performed through login. The user then submits a request to the blockchain server,which redirects the request to the associated IoT device in order to obtain thesensed IoT data. The detected data is anonymized in the device and stored inthe cloud server using the Linear Scaling based Rider Optimization algorithmwith integrated KL Anonymity (LSR-KLA) approach. After that, the Time-stamp-based Public and Private Key Schnorr Signature (TSPP-SS) mechanismis used to permit the authorized user to access the data, and the blockchain servertracks the entire transaction. The experimental findings showed that the proposedLSR-KLA and TSPP-SS technique provides better performance in terms of higherprivacy-preserving rate, lower information loss, execution time, and Central Pro展开更多
对Yang和Shieh提出的一种基于时戳的口令鉴别的方案进行了安全性分析,指出其方案存在初始化阶段需要把用户口令交给KIC(Key Information Center)和用户不能验证KIC身份的缺点。在此基础上提出的新方案对注册、登录、验证和口令修改过程...对Yang和Shieh提出的一种基于时戳的口令鉴别的方案进行了安全性分析,指出其方案存在初始化阶段需要把用户口令交给KIC(Key Information Center)和用户不能验证KIC身份的缺点。在此基础上提出的新方案对注册、登录、验证和口令修改过程都做了改造,用户在注册阶段提交基于口令的单向运算值而不是口令本身,并且用户和KIC之间共享秘密信息,从而成功克服了原有方案的缺陷。用户提交口令单向运算值在验证效果上和提交口令本身是相同的,而且避免了口令泄露;用户和KIC之间共享的秘密信息可以使用户验证KIC的身份。新方案可以有效抵抗伪造攻击,即使服务器被攻破或内部人泄露信息也不会造成用户私人信息的泄露,具有比原方案更高的安全性。展开更多
文摘The Internet of Things (IoT) and Cloud computing are gaining popularity due to their numerous advantages, including the efficient utilization of internetand computing resources. In recent years, many more IoT applications have beenextensively used. For instance, Healthcare applications execute computations utilizing the user’s private data stored on cloud servers. However, the main obstaclesfaced by the extensive acceptance and usage of these emerging technologies aresecurity and privacy. Moreover, many healthcare data management system applications have emerged, offering solutions for distinct circumstances. But still, theexisting system has issues with specific security issues, privacy-preserving rate,information loss, etc. Hence, the overall system performance is reduced significantly. A unique blockchain-based technique is proposed to improve anonymityin terms of data access and data privacy to overcome the above-mentioned issues.Initially, the registration phase is done for the device and the user. After that, theGeo-Location and IP Address values collected during registration are convertedinto Hash values using Adler 32 hashing algorithm, and the private and publickeys are generated using the key generation centre. Then the authentication is performed through login. The user then submits a request to the blockchain server,which redirects the request to the associated IoT device in order to obtain thesensed IoT data. The detected data is anonymized in the device and stored inthe cloud server using the Linear Scaling based Rider Optimization algorithmwith integrated KL Anonymity (LSR-KLA) approach. After that, the Time-stamp-based Public and Private Key Schnorr Signature (TSPP-SS) mechanismis used to permit the authorized user to access the data, and the blockchain servertracks the entire transaction. The experimental findings showed that the proposedLSR-KLA and TSPP-SS technique provides better performance in terms of higherprivacy-preserving rate, lower information loss, execution time, and Central Pro
文摘对Yang和Shieh提出的一种基于时戳的口令鉴别的方案进行了安全性分析,指出其方案存在初始化阶段需要把用户口令交给KIC(Key Information Center)和用户不能验证KIC身份的缺点。在此基础上提出的新方案对注册、登录、验证和口令修改过程都做了改造,用户在注册阶段提交基于口令的单向运算值而不是口令本身,并且用户和KIC之间共享秘密信息,从而成功克服了原有方案的缺陷。用户提交口令单向运算值在验证效果上和提交口令本身是相同的,而且避免了口令泄露;用户和KIC之间共享的秘密信息可以使用户验证KIC的身份。新方案可以有效抵抗伪造攻击,即使服务器被攻破或内部人泄露信息也不会造成用户私人信息的泄露,具有比原方案更高的安全性。
