Chryseobacterium solincola sp nov., isolated from soil

A Gram-staining-negative, yellow-pigmented, strictly aerobic bacterium, designated strain 1YB-R12(T), was isolated from a soil sample in western Algeria. The novel isolate was heterotrophic, chemoorganotrophic, halotolerant and psychrotolerant. The temperature and pH optima for growth were 28-30 degrees C and pH 7.3-8. The bacterium tolerated up to 6% (w/v) NaCl. Cells were non-motile, non-gliding and non-spore-forming, and were characterized by a variable morphological cycle. Flexirubin-type pigments were not detected. 16S rRNA gene sequence analysis showed that strain 1YB-R12(T) occupied a distinct lineage within the genus Chryseobacterium and shared highest sequence similarity with Chryseobacterium haifense LMG 24029(T) (96.5%). The DNA G+C content of strain 1YB-R12(T) was 40.9 mol%. The predominant cellular fatty acids were anteiso-C-15:0 (41.4%) and iso-C-15:0 (14.4%). On the basis of phenotypic properties and phylogenetic distinctiveness, strain 1YB-R12(T) is considered to represent a novel species of the genus Chryseobacterium, for which the name Chryseobacterium solincola sp. nov. is proposed. The type strain is 1YB-R12(T) (=DSM 22468(T)=CCUG 55604(T))

Authentication and Integrity Protection for Real-time Cyber-Physical Systems

Cyber-physical system (CPS) is a collaborative system of cyber and physical devices that work together to facilitate automation, communication, and sharing of information in real time. This chapter examines the Advanced Metering Infrastructure (AMI) in a smart grid environment, in which energy consumption data collected by smart meters is collected and aggregated in real time. Thus, allowing the system operators to analyze the energy usage to improve consumer service by refining utility operating and asset management processes more efficiently. Data aggregation is an integral part of AMI deployment. Data aggregation reduces the number of transmissions, thereby reducing communication costs and increasing the bandwidth utilization of AMI. However, the concentrator (the entity that aggregates the energy readings) poses a considerable risks of being tampered with, leading to erroneous bills, and possible consumer disputes. In this chapter, we discuss an end-to-end integrity protocol using elliptic curve-based chameleon hashing to provide data integrity and authenticity. The concentrator generates and sends a chameleon hash value of the aggregated readings to the Meter Data Management System (MDMS) for verification, while the smart meter with the trapdoor key computes and sends a commitment value to the MDMS so that the resulting chameleon hash value calculated by the MDMS is equivalent to the previous hash value sent by the concentrator. By comparing the two hash values, the MDMS can validate the integrity and authenticity of the data transmitted by the concentrator

Cryptanalysis of a Pairing-Based Anonymous Key Agreement Scheme for Smart Grid

Authentication and key agreement schemes in smart grid have received much attentions by researchers in recent years. Recently, Mahmood et al. proposed a secure pairing-based anonymous key exchange scheme in smart grid. However, we demonstrate that their scheme is insecure against an ephemeral secret leakage attack and an impersonation attack according to the Canetti-Krawczyk adversarial model in this paper