Cloud storage system provides data owners with remote storage service, which allows them to outsource data without local storage burden. Nevertheless, the cloud storage service is not fully trustworthy since it may not be honest and remote data would be corrupted. One way to ensure trustworthy preservation of cloud data is the remote data auditing method, through which data owners can check storage reliability of cloud system on demand and avoid potential data corruption in time. However, private auditing methods fail to promise the mutual trust in auditing results. Thus, public auditing methods are introduced, in which traditionally a third party auditor is delegated to interact with cloud service providers for auditing tasks. Although the third party auditor serves as a medium to exchange trust, a centralized third party is hard to stay neutral, which exposes the remote data auditing to some threats such as collusion attacks. To address the trust problem between data owners and cloud service providers, we propose a collaborative auditing blockchain framework for cloud data storage. In this framework, all consensus nodes substitute for the single third party auditor to execute auditing delegations and record them permanently, thereby preventing entities from deceiving each other. Security analysis shows that the proposed framework has advantage of preserving remote data integrity from various attacks. Performance analysis demonstrates that the framework is more functional and resource-friendly than existing schemes. INDEX TERMS Cloud storage, collaborative blockchain, public auditing, trustworthy data integrity.

Effective repolarization of macrophages has emerged as a promising approach for anticancer therapy. However, there are very few studies on the effect of reprogramming macrophages from M2 phenotype to M1 phenotype without reconversion while maintaining an activated M1 phenotype. Moreover, these immunomodulatory methods have serious drawbacks due to the activation of normal monocytic cells. Therefore, it remains a challenge to selectively reprogram tumor‐associated macrophages (TAMs) without systemic toxicities. Here, X‐ray‐guided and triggered remote control of a CRISPR/Cas9 genome editing system (X‐CC9) that exclusively activates therapeutic agents at tumor sites is established. Under X‐ray irradiation, X‐CC9 selectively enhances M2‐to‐M1 repolarization within the tumor microenvironment, and significantly improves antitumor efficacy with robust immune responses in two animal models. This strategy provides an ideal method for improving the safety of macrophage polarization and may constitute a promising immunotherapy strategy.

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With the rapid growth of data, limited by the storage capacity, more and more IoT applications choose to outsource data to Cloud Service Providers (CSPs). But, in such scenarios, outsourced data in cloud storage can be easily corrupted and difficult to be found in time, which brings about potential security issues. Thus, Provable Data Possession (PDP) protocol has been extensively researched due to its capability of supporting efficient audit for outsourced data in cloud. However, most PDP schemes require the Third-Party Auditor (TPA) to audit data for Data Owners (DOs), which requires the TPA to be trustworthy and fair. To eliminate the TPA, we present a Public Mutual Audit Blockchain (PMAB) for outsourced data in cloud storage. We first propose an audit chain architecture based on Ouroboros and an incentive mechanism based on credit to allow CSPs to audit each other mutually with anticollusion (any CSP is not willing to help other CSPs conceal data problems). Then, we design an audit protocol to achieve public audit efficiently with low cost of audit verification. Rigorous analysis explains the security of PMAB using game theory, and performance analysis shows the efficiency of PMAB using the real-world dataset.