• ETRI Journal
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• v.44 no.2
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• pp.208-219
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• 2022

Crime amount prediction is crucial for optimizing the police patrols' arrangement in each region of a city. First, we analyzed spatiotemporal correlations of the crime data and the relationships between crime and related auxiliary data, including points-of-interest (POI), public service complaints, and demographics. Then, we proposed a crime amount prediction model based on 2D convolution and long short-term memory neural network (2DCONV-LSTM). The proposed model captures the spatiotemporal correlations in the crime data, and the crime-related auxiliary data are used to enhance the regional spatial features. Extensive experiments on real-world datasets are conducted. Results demonstrated that capturing both temporal and spatial correlations in crime data and using auxiliary data to extract regional spatial features improve the prediction performance. In the best case scenario, the proposed model reduces the prediction error by at least 17.8% and 8.2% compared with support vector regression (SVR) and LSTM, respectively. Moreover, excessive auxiliary data reduce model performance because of the presence of redundant information.

• Convergence Security Journal
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• v.4 no.3
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• pp.1-8
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• 2004

Large distributed systems such as computational and data grids require that a substantial amount of monitoring data be collected for various tasks such as fault detection, performance analysis, performance tuning, performance prediction, security analysis and scheduling. to cope with this problem, they are needed network monitoring architecture which can collect various network characteristic and analyze network security state. In this paper, we suggest network performance and security analysis system based on network monitoring. The System suggest that users can see distance network state with tuning network parameters.

• The Korean Journal of Applied Statistics
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• v.29 no.7
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• pp.1173-1183
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• 2016

In this paper, we proposed an information security risk index to diagnose users' malware infection situations (such as computer virus and adware) by gathering data from KT network systems. To develop the information security risk index, we used the analytic hierarchy process methodology and estimated the risk weights of malware code types using the judgments of experts. The control chart could be used effectively to forecast the information security risk for the proposed information security risk index data.

• Convergence Security Journal
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• v.16 no.2
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• pp.63-70
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• 2016

With the development of information and communication technologies like internet, the environment where people are able to access internet at any time and at any place has been established. As a result, cyber threats have been tried through various routes. Of cyber threats, DDoS is on the constant rise. For DDoS prediction modeling, this study drew a DDoS security index prediction formula on the basis of event data by using a statistical technique, and quantified the drawn security index. It is expected that by using the proposed security index and coming up with a countermeasure against DDoS threats, it is possible to minimize damage and thereby the prediction model will become objective and efficient.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.4
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• pp.1493-1515
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• 2015

A smart meter is one of the core components in Advanced Metering Infrastructure (AMI) that is responsible for providing effective control and monitor of electrical energy consumptions. The multifunction tasks that a smart meter carries out such as facilitating two-way communication between utility providers and consumers, managing metering data, delivering anomalies reports, analyzing fault and power quality, simply show that there are huge amount of data exchange in smart metering networks (SMNs). These data are prone to security threats due to high dependability of SMNs on Internet-based communication, which is highly insecure. Therefore, there is a need to identify all possible security threats over this network and propose suitable countermeasures for securing the communication between smart meters and utility provider office. This paper studies the architecture of the smart grid communication networks, focuses on smart metering networks and discusses how such networks can be vulnerable to security attacks. This paper also presents current mechanisms that have been used to secure the smart metering networks from specific type of attacks in SMNs. Moreover, we highlight several open issues related to the security and privacy of SMNs which we anticipate could serve as baseline for future research directions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.5
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• pp.153-164
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• 2004

Under a large-scale client-server service environment, e.g., online games, encrypting data for acquiring information security often causes overload to the server and hence degradation of the service itself. Therefore, for reducing encryption payload, it is necessary to use adequately an efficient encryption scheme with respect to the security requirements of transmission data. In this paper, we propose a packet encryption scheme using multiple cryptosystems to realize such capability, which assigns a different cryptosystem according to the security requirements level. The proposed encryption scheme is applicable to internet services with heavy traffic ratios in which different kinds of data packets are incessantly transmitted between clients and servers. To show its effectiveness and superiority, the performance of the proposed encryption scheme is verified by experiments.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.7 no.2
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• pp.123-138
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• 1997

In this paper, we design a model of security management in the EDI(Electronic Data Interchange) system implemented on the basis of ITU-T X.400 series. First of all, we defined requirements and functions for providing the security management facility in the EDI system which manipulates a lot of commercial documents. The model to satisfy the requirements is also designed for SEDI (Secure EDI) system which provides security services.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.181-191
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• 2018

With the development of IT, hacking crimes are becoming intelligent and refined. In Emergency response, Big data analysis in information security is to derive problems such as abnormal behavior through collecting, storing, analyzing and visualizing whole log including normal log generated from various information protection system. By using the full log data, including data we have been overlooked, we seek to detect and respond to the abnormal signs of the cyber attack from the early stage of the cyber attack. We used open-source ELK Stack technology to analyze big data like unstructured data that occur in information protection system, terminal and server. By using this technology, we can make it possible to build an information security control system that is optimized for the business environment with its own staff and technology. It is not necessary to rely on high-cost data analysis solution, and it is possible to accumulate technologies to defend from cyber attacks by implementing protection control system directly with its own manpower.

• The Journal of Information Technology and Database
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• v.7 no.2
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• pp.117-134
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• 2000

This study examines the relationship between the organizational member's information security mind and organizational information security level. The influential relationships among organizational members' information security mind are investigated, and the relationship between organization's information security level and information security mind has been analyzed. As a result, too manager's information security mind is shown to give the biggest influence to other group in the organization. A strong positive correlation exists between organizational member's information security mind and the level of organization's physical, technical, managerial information security. However, there is no significant difference in information security level by types of business. In the future, a more profound study on information security mind is necessary. And alternative methods of information security level estimation need to be studied.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3548-3557
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• 2010

Security enhancement technologies are required to preventing phishing and pharming attacks on Internet banking. One-time password(OTP) should be used with certificate for enhancing user authentication and security performance. However, existing OTP technique is weak on MITM(Man-In-The-Middle) attack and synchnonization should be provided on OTP system. Therefore, more advanced mechanism such as combining biometic data with OTP can be suggested to enhancing security on authentication system. In this paper, we designed and implemented a multifactor authentication system using one-time biometric template to generate unique authentication data after adapting biometric transform on each user's biometric data.