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This work describes the characterization and genome annotation of Salmonella phage vB_SalM_8-19 (referred to as 8-19) isolated from sewage samples collected in a pig farm in Jilin, China. This phage was capable of infecting 60% Salmonella strains in our lab stock. The genome of phage 8-19 is composed of linear double-stranded DNA that is 52,648 bp in length with a G + C content of 46.02%; containing 74 ORFs and no tRNA genes. In October 2019, phylogenetic analyses indicated that phage 8-19 might belong to a novel cluster among the other similar phages which have not been specifically classified within some new genus in family Myoviridae. Recently, the International Committee on Taxonomy of Viruses (ICTV) defined phage 8-19 and its related phages as genus Rosemountvirus, family Myoviridae. This new genus, known as Rosemountvirus, is rarely reported in the literature.

Acta materialia 217, 117147 (2021). doi:10.1016/j.actamat.2021.117147, Published by Elsevier Science, Amsterdam [u.a.]

With a prevalence of pervasive computing, especially cloud computing, the software is at the core and play a vital role. This advance the security problem, so software trust is drawing increasing attention. Therefore, we need a unified trust relationship model between entities, which captures both the needs of the traditional computing world and the world of pervasive computing where the continuum of trust is based on identity, physical context or a combination of both. Here, we presents a software behavior based attestation model which try to determine the trust state of attesting platform from its system trust related behaviors. The new attestation model has advantages of privacy protection and high feasibility. In addition, it can also help to control and limit the impacts of security accidents such as malicious code in system.

Measurement methods have significant meaning for user’s trust to software trustworthiness. Data mining is one of technologies through which measurement methods and tools can collect trustworthiness data to calculate software trustworthiness. In this paper, a Measurement Method based on Data Mining (MMDM) is proposed, trying to improve correctness of conclusion made by user toward provider’s service trustworthiness. This method introduces the formal definitions of trust and trustworthiness, static and dynamic trustworthiness data into measurement principle, then illustrates MMDM in detail with formal Software Trustworthiness Measurement Language (STML), thus to reflect software trustworthiness, assist user to make correct decision.