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Privacy-Enhanced Data Deduplication Computational Intelligence Technique for Secure Healthcare Applications

Computers, Materials & Continua 2022年第2期70卷 4169-4184页

作者： Jinsu Kim Sungwook Ryu namje park Department of Convergence Information Security Graduate SchoolJeju National University63294Korea Master’s Program in Future Strategy Korea Advanced Institute of Science and Technology34141Korea Department of Computer Education Teachers CollegeJeju National University63294Korea

A significant number of cloud storage environments are already implementing deduplication *** to the nature of the cloud environment,a storage server capable of accommodating large-capacity storage is *** storage capacity increases,additional storage solutions are *** leveraging deduplication,you can fundamentally solve the cost ***,deduplication poses privacy concerns due to the structure *** this paper,we point out the privacy infringement problemand propose a new deduplication technique to solve *** the proposed technique,since the user’s map structure and files are not stored on the server,the file uploader list cannot be obtained through the server’s meta-information analysis,so the user’s privacy is *** addition,the personal identification number(PIN)can be used to solve the file ownership problemand provides advantages such as safety against insider breaches and sniffing *** proposed mechanism required an additional time of approximately 100 ms to add a IDRef to distinguish user-file during typical deduplication,and for smaller file sizes,the time required for additional operations is similar to the operation time,but relatively less time as the file’s capacity grows.

关键词： Computational intelligence cloud multimedia data deduplication

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Network Log-Based SSH Brute-Force Attack Detection Model

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Computers, Materials & Continua 2021年第7期68卷 887-901页

作者： Jeonghoon park Jinsu Kim B.B.Gupta namje park Department of Convergence Information Security Graduate SchoolJeju National UniversityJeju63243Korea Department of Computer Engineering National Institute of Technology KurukshetraKurukshetra136119India

The rapid advancement of IT technology has enabled the quick discovery,sharing and collection of quality information,but has also increased cyberattacks at a fast pace at the same *** exists no means to block these cyberattacks completely,and all security policies need to consider the possibility of external ***,it is crucial to reduce external attacks through preventative *** general,since routers located in the upper part of a firewall can hardly be protected by security systems,they are exposed to numerous unblocked *** block unnecessary services and accept necessary ones while taking appropriate measures to reduce vulnerability,block unauthorized access,and generate relevant *** logs created through unauthorized access are caused by SSH brute-force attacks,and therefore IP data of the attack can be collected through the *** paper proposes a model to detect SSH brute-force attacks through their logs,collect their IP address,and control access from that IP *** this paper,we present a model that extracts and fragments the specific data required from the packets of collected routers in order to detect indiscriminate SSH input *** do so,the model multiplies a user’s access records in each packet by weights and adds them to the blacklist according to a final calculated result *** addition,the model can specify the internal IP of an attack attempt and defend against the first 29 destination IP addresses attempting the attack.

关键词： SSH brute-force attack ELK Stack IT infra log access control

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