A Novel RFID Authentication Protocol Based on Reconfigurable RRAM PUF

Radio frequency identification technology (RFID) has empowered a wide variety of automation industries. Aiming at the current light-weight RFID encryption scheme with limited information protection methods, combined with the physical unclonable function (PUF) composed of resistive random access memory (RRAM), a new type of high-efficiency reconfigurable strong PUF circuit structure is proposed in this paper. Experimental results show that the proposed PUF shows an almost ideal value (50%) of inter-chip hamming distance (HD) (µ/σ = 0.5001/0.0340) among 1000 PUF keys, and intra-chip HD results are very close to the ideal value (0). The bit error rate (BER) is as low as 3.8×10−6 across one million challenges. Based on the RRAM PUF, we propose and implement a light weight RFID authentication protocol. By virtue of RRAM’s model ability, the protocol replaces the One-way Hash Function with a response chain mutual encryption algorithm. The results of test and analysis show that the protocol can effectively resist multiple threats such as physical attacks, replay attacks, tracking attacks and asynchronous attacks, and has good stability. At the same time, based on RRAM’s unique resistance variability, PUF also has the advantage of being reconfigurable, providing good security for RFID tags.

Blowout Well Response: TOTAL Large Scale Exercise Drill in the Gulf of Guinea

ABSTRACT In March 2019, TOTAL planned and executed the first of its kind Large Scale Exercise (LSE) in Nigeria. Before this operator led LSE, capping equipment had not been deployed in Africa. Since this was the first exercise of the sort to be undertaken in Nigeria, there were several objectives defined at the outset of the exercise: test the entire response chain (logistics, preparation, execution and communication);demonstrate to the Nigerian authorities that a comprehensive and efficient response could be executed in a timely manner; anddocument, record lessons learned and then feed them back to the local affiliate and others to improve future response operations For this exercise, TOTAL deployed its Subsea Emergency Response System (SERS) which was commissioned for construction at the beginning of 2012. Two systems were developed for drilling and production hydrocarbon blowout scenarios. The LSE's focus was to deploy the capping system while also taking the opportunity to simulate pumping dispersant. TOTAL has two SERS's that are stored in Pointe Noire, Congo and Luanda, Angola. Due to the readiness of the system in Congo (recently tested and the appropriate connector installed), it was chosen to be used for the LSE. An abandoned appraisal well was chosen for the exercise due to it being free from subsea infrastructure. The detailed work scope for the LSE was as follows: SERS ○ Controls Distribution Unit (CDU) deployment○ Flying Lead Deployment Frame (FLDF) deployment○ Diverter Spool Assembly (DSA) deployment○ Connection of the Hydraulic Flying Leads (HFL's) and Electric Flying Leads (EFL's)○ Landing the DSA and locking the connector by Remote Operated Vehicle (ROV)○ Performing an Acoustic Communication System (ACS) test Subsea Dispersant Injection (SSDI) ○ Deploying the Hose Deployment Frame (HDF)○ Deploying the routing manifold on Coiled Tubing (CT)○ Connecting all hoses with the ROV○ Simulating pumping dispersant over the well All equipment was successfully deployed and tested with all objectives achieved. The highlights of the operations were as follows: ○ 20 days from Congo SERS equipment loadout until the end of operations○ Approximately 27 hours from OneSubsea (OSS) arrival on the vessel until the DSA was locked on the wellhead○ DSA connector lock and unlock between 4 to 5 minutes○ 52.1 bbls of simulated dispersant pumped within a one hour timeframe

COVID-19 in China: Responses, Challenges and Implications for the Health System

A public health crisis is a “touchstone” for testing the ability and capacity of a national health system. In the current era, public health crises are presenting new systematic and cross-border characteristics and uncertainty. The essence of a system for public health crisis governance is the rules administering the stimulus–response chain. The health system generally emphasizes joint participation and communication between different subjects, which may lead to overlap and redundancy as well as a lack of auxiliary support for major public health crisis events. In the context of coronavirus disease 2019 (COVID-19) in China, we track the responses, challenges, and implications of the temporary disruption of the health system and its response to this major public health crisis. We examine local governance capacity, performance in pandemic control, and the coordinated responses to COVID-19. Accordingly, we identify the challenges to the health system, including the imbalance in attention given to medical care versus health care, insufficient grassroots public health efforts and control capacity, and untimely information disclosure. It is strongly suggested that the government improve its cognitive ability and focus more attention on building and strengthening the emergency health system.

Predictions for oil slicks detected from satellite images using MyOcean forecasting data

The pan-European capacity for the Ocean Monitoring and Forecasting (MyOcean) Marine Core Service, implementing the Global Monitoring for Environment and Security (GMES) objectives, targets the provision of ocean state observations from various platforms and analysis and forecasting products to assist, among other downscaling activities, the needs of the operational response to marine safety, particularly concerning oil spills. The MEDSLIK oil spill and trajectory prediction system makes use of the MyOcean regional and Cyprus Coastal Ocean Forecasting and Observing System (CYCOFOS) downscaled forecasting products for operational application in the Mediterranean and pre-operational use in the Black Sea. Advanced Synthetic Aperture Radar (ASAR) satellite remote sensing images from the European Space Agency (ESA) and European Maritime Safety Agency CleanSeaNet (EMSA-CSN) provide the means for routine monitoring of the southern European seas for the detection of illegal oil discharges. MEDSLIK offers various ways, to be described in this paper, of coupling the MyOcean forecasting data with ASAR images to provide both forecasts and hindcasts for such remotely observed oil slicks. The main concern will be the drift of the oil slick and also, in the case of the forecast mode, its diffusive spreading, although some attempt is also made to estimate the changes in the state of the oil. The successful link of the satellite-detected oil slicks with their operational predictions using the MyOcean products contributes to the operational response chain and the strengthening of maritime safety for accidental or illegal spills, in implementation of the Mediterranean Decision Support System for Marine Safety (MEDESS-4MS) regarding oil spills.

Predictions for oil slicks detected from satellite images using MyOcean forecasting data

The MyOcean marine core service, implementing the Global Monitoring for Environment and Security (GMES) objectives, targets the provision of ocean state data from various platforms to assist, among other downscaled activities, the needs of the operational response to marine safety, particularly concerning oil spills. The MEDSLIK oil spill and trajectory prediction system makes use of the MyOcean regional and Cyprus Coastal Ocean Forecasting and Observing System (CYCOFOS) downscaled forecasting products for operational application in the Mediterranean and pre-operational use in the Black Sea. Advanced Synthetic Aperture Radar (ASAR) satellite remote-sensing images from European Space Agency (ESA) and European Maritime Safety Agency – CleanSeaNet (EMSA-CSN) provide the means for routine monitoring of the southern European seas for the detection of illegal oil discharges. MEDSLIK offers various ways, to be described in this paper, of coupling the Pan-European capacity for Ocean Monitoring and Forecasting (MyOcean) forecasting data with ASAR imageries to provide both forecasts and hindcasts for such remotely-observed oil slicks. The main concern will be the drift of the oil slick and also, in the case of the forecast mode, its diffusive spreading, although some attempt is also made to estimate the changes in the state of the oil. The successful link of the satellite-detected oil slicks with their operational predictions using the MyOcean products contributes to the operational response chain and the strengthening of maritime safety for accidental or illegal spills, in implementation of a Mediterranean decision support system for marine safety regarding oil spills.