• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.321-326
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• 2021

In a multi-cloud environment, it is necessary to minimize physical movement for efficient interoperability of distributed source data without building a data warehouse or data lake. And there is a need for a data platform that can easily access data anywhere in a multi-cloud environment. In this paper, we propose a new platform based on data fabric centered on a distributed platform suitable for cloud environments that overcomes the limitations of legacy systems. This platform applies the knowledge graph database technique to the physical linkage of source data for interoperability of distributed data. And by integrating all data into one scalable platform in a multi-cloud environment, it uses the holochain technique so that companies can easily access and move data with security and authority guaranteed regardless of where the data is stored. The knowledge graph database mitigates the problem of heterogeneous conflicts of data interoperability in a decentralized environment, and Holochain accelerates the memory and security processing process on traditional blockchains. In this way, data access and sharing of more distributed data interoperability becomes flexible, and metadata matching flexibility is effectively handled.

• Journal of Platform Technology
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• v.10 no.4
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• pp.82-90
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• 2022

emerging. And it shows numerous possibilities and tremendous potentials in the virtual world. This metaverse is not limited to one type, but it is evolving and developing into a service in the form of a virtual convergence economy by breaking down boundaries. As a result, various security issues in metaverse are emerging. Metaverse performs all activities in the virtual space, so various problems such as privacy infringement, virtual asset theft, or fraud can occur. In this paper, a service security model is proposed to provide safe services on metaverse. To this end, we analyze security threats in the metaverse framework and propose a security service model to prevent threats. By evaluating the security of the proposed model, it was shown that safe services are effectively possible on the metaverse.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.27 no.4
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• pp.775-783
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• 2017

As interest in cloud computing grows, the number of users using cloud computing services is increasing. However, cloud computing technology has been steadily challenged by security concerns. Therefore, various security breaches are springing up to enhance the system security for cloud services users. In particular, research on detection of malicious VM (Virtual Machine) is actively underway through the introspecting virtual machines on the cloud platform. However, memory analysis technology is not used as a monitoring tool in the environments where multiple virtual machines are run on a single server platform due to obstructive monitoring overhead. As a remedy to the challenging issue, we proposes a computationally efficient instance memory introspection scheme to minimize the overhead that occurs in memory dump and monitor it through a partial memory monitoring based on the well-defined kernel memory map library.

• Smart Media Journal
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• v.8 no.4
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• pp.17-24
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• 2019

As IoT technology is widely used in industrial environments, its environmental security issues are becoming more important. In such a context, studies utilizing hardware security functions are being actively carried out. However, previous studies did not consider the performance degradation that occurs when using hardware security functions in IoT environment. Gateway devices that are mainly used in IoT environments are often resource-limited. Utilizing hardware security in such an environment can cause serious performance degradation as the number of IoT devices connected to the gateway increases. Therefore, in this paper, we propose a data classification scheme to efficiently utilize hardware security functions in resource limited environment. We implement a platform with the proposed technique using ARM Trustzone. Performance degradation due to the hardware security functions is measured through experiments on the implemented platform and compared with the performance as of when the proposed technique is applied.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.451-457
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• 2010

Increasing demands on the safety of public train services have led to the development of various types of security monitoring systems. Most of the surveillance systems are focused on the estimation of crowd level in the platform, thereby yielding too many false alarms. In this paper, we present a novel security monitoring system to detect critically dangerous situations such as when a passenger falls from the station platform, or when a passenger walks on the rail tracks. The method is composed of two stages of detecting dangerous situations. Objects falling over to the dangerous zone are detected by motion tracking. 3D depth information retrieved by the stereo vision is used to confirm fallen events. Experimental results show that virtually no error of either false positive or false negative is found while providing highly reliable detection performance. Since stereo matching is performed on a local image only when potentially dangerous situations are found; real-time operation is feasible without using dedicated hardware.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.3005-3011
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• 2010

As soon as high-performanced smart phones is rapidly emerging in recent, its security problems come to the front. Especially in case of an open platform, it is easy to be a target of virus. Many security solution industries such as Symantec and Ahnlab are developing a mobile security system, but they have not yet a commercial product. We developed the effective security function of Android system based on SELinux to solve this problem, and verified its performance by applying the user applications developed to S3C6410 board.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.23 no.6
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• pp.1049-1055
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• 2013

Smartphones are rapidly growing because of easy installation of the apps (application software) that users actually want. There are increasingly many apps that require cryptographic suites to be installed, for instance, for protecting account and financial data. Android platform provides protection mechanisms for memory and storage based on Linux kernel, but they are vulnerable to rooting attacks. In this paper, we analyze security mechanisms of Android platform and point out security problems. We show the security vulnerabilities of several commercial apps and suggest appropriate countermeasures.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.374-376
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• 2005

In this paper, we presented our implementation of 3DES and HMAC-MD5 processing functionality in Intel? IXP 2400 platform. It can be used as encryption and authentication engine for VPNs such as IPsec and SSL.

• Journal of Computing Science and Engineering
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• v.5 no.4
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• pp.331-337
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• 2011

Recently, Virtual Desktop Infrastructure (VDI) has been widely adopted to ensure secure protection of enterprise data and provide users with a centrally managed execution environment. However, user experiences may be restricted due to the limited functionalities of thin clients in VDI. If thick client devices like laptops are used, then data leakage may be possible due to malicious software installed in thick client mobile devices. In this paper, we present Data Firewall, a security framework to manage and protect security-sensitive data in thick client mobile devices. Data Firewall consists of three components: Virtual Machine (VM) image management, client VM integrity attestation, and key management for Protected Storage. There are two types of execution VMs managed by Data Firewall: Normal VM and Secure VM. In Normal VM, a user can execute any applications installed in the laptop in the same manner as before. A user can access security-sensitive data only in the Secure VM, for which the integrity should be checked prior to access being granted. All the security-sensitive data are stored in the space called Protected Storage for which the access keys are managed by Data Firewall. Key management and exchange between client and server are handled via Trusted Platform Module (TPM) in the framework. We have analyzed the security characteristics and built a prototype to show the performance overhead of the proposed framework.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.7
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• pp.183-194
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• 2018

With the rapid development of IoT(Internet of Things) technology, various convenient services such as smart home and smart city have been realized. However, IoT devices in unmanned environments are exposed to various security threats including eavesdropping and data forgery, information leakage due to unauthorized access. To build a secure IoT environment, it is necessary to use proper cryptographic technologies to IoT devices. But, it is impossible to apply the technologies applied in the existing IT environment, due to the limited resources of the IoT devices. In this paper, we survey the classification of IoT devices according to the performance and analyze the security requirements for IoT devices. Also we survey and analyze the use of cryptographic technologies in the current status of IoT open standard platform such as AllJoyn, oneM2M, IoTivity. Based on the research of cryptographic usage, we examine whether each platform satisfies security requirements. Each IoT open platform provides cryptographic technology for supporting security services such as confidentiality, integrity, authentication an authorization. However, resource constrained IoT devices such as blood pressure monitoring sensors are difficult to apply existing cryptographic techniques. Thus, it is necessary to study cryptographic technologies for power-limited and resource constrained IoT devices in unattended environments.