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A System of Dynamic Access Control in Fog Computing Based on TPO Conditions
The types of devices connected to networks in businesses and homes are becoming increasingly diverse. In addition, the TPO(time, place, and occasion) for accessing the network also vary with the diversity of devices and changes in working styles. In this current network environment, there are security issues, and we focused on external attacks, fraud inside the network, and damage caused by human error. As a way to reduce the risk for these problems, we proposed a network configuration based on the fog computing model, in which the network is divided into multiple fog networks, and each user connecting to a fog network has a different policy. And using SDN (Software Defined Network) technology, we created a prototype that implements the characteristic features of the proposed model. We evaluated the prototype\u27s ability to reduce the risk of security problems and found it useful
Malware Attack Objective Evaluation Based on API Calls Sequence Information
Cyber-attacks are increasing every year, and the scale of damage is also growing. Since malware is commonly used in cyber attacks, the number of malware detections is also on the rise. Since it is impossible to respond to malware by analyzing them one by one, many research efforts are being made to develop detection and classification methods that require as little manpower as possible. Malware analysis methods can be broadly classified into dynamic analysis and static analysis. In this study, we focus on dynamic analysis, which requires a relatively short analysis time and is suitable for processing a large number of malware compared to static analysis. We believe that if the purpose of an attack can be estimated using information on the names of API functions invoked by dynamic analysis, it can be used for damage assessment and recovery. In this study, we analyze the order information of API calls obtained from dynamic analysis to estimate the purpose of malware attacks. As a result, we show that the relationship between the order information of API calls and the attack objectives is characteristic
RESPONSE AND ADAPTATION OF ESCHERICHIA COLI TO ACIDIC STRESS
Escherichia coli survive in host stomach at less than pH 2, and then colonies in host intestine at pH range between 6 and 8. E. coli is known to have five acid resistant (AR) systems. Four amino acid decarboxylases-involved ARs are well characterized whereas F-type ATPase-involved AR is not well understood. Moreover, glutamate decarboxylase involved AR is regulated via a two-component system. In this study, I examined adaptation and response under acidic stress by F-type ATPase and two-component regulatory systems. Genetic analysis revealed that the two-component system is involved in growth and survival under acidic stress. On the other hand, F-type ATPase was required for regrowth of cells surviving at pH 3.5 but not for growth and survival under acidic stress. These results suggest that the two-component system of E. coli induces glutamate decarboxylase involved AR in adaptation within host stomach and F-type ATPase functions to colonize in host intestine after survival in host stomach
Consideration of housing complexes as a Compact City
This paper examines the number of business facilities in housing complexes, which in the Tokyo Bay area have a population of 9,000 to 85,000. We obtained the numbers by using Google Map and defined the typical standard number of facilities for a population of 10,000. A mathematical model of a previous study supports the reliability of the values. Finally, we calculated the population required to maintain a business