• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.67-80
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• 2023

Rice is an important food crop for most of the population in Nowadays, psychologists consider social media an important tool to examine mental disorders. Among these disorders, depression is one of the most common yet least cured disease Since abundant of writers having extensive followers express their feelings on social media and depression is significantly increasing, thus, exploring the literary text shared on social media may provide multidimensional features of depressive behaviors: (1) Background: Several studies observed that depressive data contains certain language styles and self-expressing pronouns, but current study provides the evidence that posts appearing with self-expressing pronouns and depressive language styles contain high emotional temperatures. Therefore, the main objective of this study is to examine the literary cyber writers' posts for discovering the symptomatic signs of depression. For this purpose, our research emphases on extracting the data from writers' public social media pages, blogs, and communities; (3) Results: To examine the emotional temperatures and sentences usage between depressive and not depressive groups, we employed the SentiStrength algorithm as a psycholinguistic method, TF-IDF and N-Gram for ranked phrases extraction, and Latent Dirichlet Allocation for topic modelling of the extracted phrases. The results unearth the strong connection between depression and negative emotional temperatures in writer's posts. Moreover, we used Naïve Bayes, Support Vector Machines, Random Forest, and Decision Tree algorithms to validate the classification of depressive and not depressive in terms of sentences, phrases and topics. The results reveal that comparing with others, Support Vectors Machines algorithm validates the classification while attaining highest 79% f-score; (4) Conclusions: Experimental results show that the proposed system outperformed for detection of depression trends in literary cyber writers using sentiment analysis.

• Informatization Policy
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• v.23 no.1
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• pp.3-19
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• 2016

The purpose of the study is to analyze the existing literature and to suggest future research directions in the big data security area. This study identifies 62 research articles and analyses their publication year, publication media, general research approach, specific research method, and research topic. According to the results of the analyses, big data security research is at its intial stage in which non-empirical studies and research dealing with technical issues are dominant. From the research topic perspective, the area demonstrates the signs of initial research stage in which proportion of the macro studies dealing with overall issues is far higher than the micro ones covering specific implementation methods and sectoral issues. A few promising topics for future research include overarching framework on big data security, big data security methods for different industries, and government policies on big data security. Currently, the big data security area does not have sufficient research results. In the future, studies covering various topics in big data security from multiple perspectives are anticipated.

• Journal of Information Processing Systems
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• v.10 no.1
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• pp.1-22
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• 2014

Recent technological advances provide the opportunity to use large amounts of multimedia data from a multitude of sensors with different modalities (e.g., video, text) for the detection and characterization of criminal activity. Their integration can compensate for sensor and modality deficiencies by using data from other available sensors and modalities. However, building such an integrated system at the scale of neighborhood and cities is challenging due to the large amount of data to be considered and the need to ensure a short response time to potential criminal activity. In this paper, we present a system that enables multi-modal data collection at scale and automates the detection of events of interest for the surveillance and reconnaissance of criminal activity. The proposed system showcases novel analytical tools that fuse multimedia data streams to automatically detect and identify specific criminal events and activities. More specifically, the system detects and analyzes series of incidents (an incident is an occurrence or artifact relevant to a criminal activity extracted from a single media stream) in the spatiotemporal domain to extract events (actual instances of criminal events) while cross-referencing multimodal media streams and incidents in time and space to provide a comprehensive view to a human operator while avoiding information overload. We present several case studies that demonstrate how the proposed system can provide law enforcement personnel with forensic and real time tools to identify and track potential criminal activity.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.93-96
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• 2007

RFID 시스템은 무선통신기술을 사용하여 직접 접촉하지 않고 RFID 태그 정보를 식별하는 자동식별기술을 말한다. RFID 시스템의 장점 때문에 바코드 대체 기술로서 주목을 받고 있다. 최근에, RFID시스템은 모바일 단말기 안에 내장된 리더를 사용하여 사용자에게 유용한 정보를 제공하는 모바일 시스템으로 확대대고 있다. 모바일 RFID 시스템은 모바일 리더를 사용하여 물품의 정보를 얻는다. 그 다음 얻은 정보를 사용하여 무선이동통신 네트워크에서 사용자에게 다양한 부가 서비스를 제공한다. 모바일 RFID 시스템은 RFID 리더에 이동성을 결합했을 뿐만 아니라, 언제 어디에서나 실생활에 밀접한 물품에 대한 정보를 활용할 수 있다는 점에서 많은 주목을 받고 있다. 그러나 모바일 RFID 시스템은 정보누출, 추적성, 위조 등과 같은 RFID 시스템의 위협에 취약할 뿐만 아니라 모바일 리더의 이동성에 의해 사용자의 프라이버시가 쉽게 침해된다. 본 논문에서는 기존에 제안된 모바일 RFID 시스템에 관하여 살펴보고 모바일 RFID 시스템에서의 발생하는 추가적인 문제점을 지적한 후에 이에 대한 해결 방안을 제시한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2007.02a
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• pp.112-115
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• 2007

최근 부채널 공격으로 스마트 카드 같은 장치의 비밀키를 알아낼 수 있음이 알려지면서 많은 알고리즘에 대한 부채널 공격과 대웅 방안이 연구되고 있다. 차분전력분석은 부채널 공격의 일종으로 암호화 연산 중 발생하는 전력 소모 곡선을 통계적으로 분석하여 키를 알아내는 공격이다. 본 논문에서는 Hocker 형태의 IC칩 차분전력분석공격에 대한 실험 분석 모델을 설정한 후 이를 검증하고자 축소형 모델로 실험한다 실험 분석을 위하여 선정된 장치에 DES 암호알고리즘을 어셈블리로 구현한 후 8비트 마이크로프로세서 형 칩에 탑재하여 암호 알고리즘 실행 시에 발생되는 차분 전력 신호를 분석한다. 그리고 차분전력분석 공격에서 중요한 기술인 분류함수 설정에 따른 분석 성공 여부에 따른 비교를 한다.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.533-540
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• 2014

As for the application system or the user authentication scheme that is used in the system, various technologies including simple ID/PW, certificate, fingerprint/iris, phone, security card, and OTP are being used. But simple ID/PW and phone certification lack security features. As for the certificate, fingerprint/iris, and security card/OTP, the weakness in security has been quite strengthened, but there are costs and complexity involved to use these. This paper proposes a new measure of much safer and low-cost user authentication that improves the security level and uses mobile external storage media such as USB that people commonly have.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.6
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• pp.2246-2255
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• 2010

In this paper, we describe an ontology-based context aware model that collects context information from USN sensor and CCTV image and reasons about context in order to development an integrated security control system in the industrial environments. The context model represents autonomous and heterogeneous data as ontologies and recognizes the context through DL(description logic) inference in the smart computing environment. We expect that the integrated security control system can automatically detects the risk in the industrial field and reduces the safety and security incidents by applying this context model to the system.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.273-278
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• 2016

Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.

• Convergence Security Journal
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• v.13 no.4
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• pp.69-75
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• 2013

Customer is the base factor of income for some corporations, so that effective CRM (Customer Relationship Management) is very important to develop the business. In order to use CRM efficiently, we should figure out customers' demands and provide services or products that the customers want. However, it is getting difficult to comprehend customers' demands because they have complicated form and getting more diverse. Recently, social media like Twitter and Facebook let customers to express their demands, and using big data is a very effective method for efficient CRM. This research suggests how to utilize big data for hotel CRM, which considers customer itself as asset of business. In addition, we discuss security problems of big data service and propose the solution for that.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.3
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• pp.45-55
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• 2003

Wireless LAM has the advantage of extension, flexibility and easiness of installation and maintenance. However, due to the characteristics of wireless media, it is vulnerable to security attacks. PKI(Public Key Infrastructure) is estimated to be a good solution offering security function to wireless LAM including global roaming. It offers high security functions as authentication confidentiality and digital signature while it generates big overheads such as CRL search and certificate verification. The overheads can not be avoided during the initial authentication. However, when we consider the case of handoff, it can be minimized through the fast handoff. In this paper, we design a fast handoff authentication mechanism based on PKI in the wireless LAM and analyze the performance of the scheme.