• Title/Summary/Keyword: Prevention Information Communication

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Information Behavior in COVID-19 Prevention: Does Anxiety among Indonesian Mothers Have an Effect?

  • Zahara, Nadia;Hidayat, Z.
    • Journal of Information Science Theory and Practice
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    • v.10 no.4
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    • pp.23-37
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    • 2022
  • The pandemic of Coronavirus disease (COVID-19) has contributed more challenges for mothers as the family's primary caregiver in overcoming the widespread infection. Pandemic-related information is essential for mothers to reduce uncertainty as well as to maintain the health of family members during this unprecedented situation. Adopting the framework of the Situational Theory of Problem Solving, this study extends the theory by, first, testing the mediating role of COVID-19 anxiety on mothers' information seeking and information forwarding, referred to as active communication action of problem solving, as well as preventive behavior; and second, by predicting the effect of information seeking on preventive behavior. Referring to an online survey from 371 Indonesian mothers, the findings suggest that in terms of direct effect, only problem recognition was found to have no significant effect on situational motivation. The results suggest that Indonesian mothers perceive COVID-19 as personally relevant so that they are motivated to solve the problem by seeking and forwarding related information. In addition, COVID-19 anxiety was found to play a significant role in predicting information seeking, information forwarding, and preventive behavior. The result of this study is expected to give insights for risk communicators and health professionals in Indonesia in communicating COVID-19, particularly to mothers.

Prevention of DDoS Attacks for Enterprise Network Based on Traceback and Network Traffic Analysis

  • Ma, Yun-Ji;Baek, Hyun-Chul;Kim, Chang-Geun;Kim, Sang-Bok
    • Journal of information and communication convergence engineering
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    • v.7 no.2
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    • pp.157-163
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    • 2009
  • With the wide usage of internet in many fields, networks are being exposed to many security threats, such as DDoS attack and worm/virus. For enterprise network, prevention failure of network security causes the revealing of commercial information or interruption of network services. In this paper, we propose a method of prevention of DDoS attacks for enterprise network based on traceback and network traffic analysis. The model of traceback implements the detection of IP spoofing attacks by the cooperation of trusted adjacent host, and the method of network traffic analysis implements the detection of DDoS attacks by analyzing the traffic characteristic. Moreover, we present the result of the experiments, and compare the method with other methods. The result demonstrates that the method can effectively detect and block DDoS attacks and IP spoofing attacks.

The consideration about prevention ways of discovery of emergency situation which is based on guard techniques (경호기법에 의한 위급상황의 발견과 대처 방안에 관한 고찰)

  • Gong, Bae-wan
    • Journal of the Society of Disaster Information
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    • v.6 no.2
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    • pp.11-20
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    • 2010
  • All of the people or objects which are contacted during the activity of guard are added to range of objects. guard has to notice decision, question proposal, observation, accomplish to be happened them at the same time recognizing the steps as soon as possible. Before a lot of information of client are shown, guard expert has to search observation of materialization, extension of reservation, notification of business and causes of danger through personal interviews. Rapid communication system has to be assumed and effective caution, protection and shelter and following prevention are cooperated as well as has to care about safe of guard object by a protective wall. And also has to get out of the ground, keep the large shape when moves, prevent the trials of attack from the assassinators after takeing control over weapons.

HB-DIPM: Human Behavior Analysis-Based Malware Detection and Intrusion Prevention Model in the Future Internet

  • Lee, Jeong Kyu;Moon, Seo Yeon;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • v.12 no.3
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    • pp.489-501
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    • 2016
  • As interest in the Internet increases, related technologies are also quickly progressing. As smart devices become more widely used, interest is growing in words are missing here like "improving the" or "figuring out how to use the" future Internet to resolve the fundamental issues of transmission quality and security. The future Internet is being studied to improve the limits of existing Internet structures and to reflect new requirements. In particular, research on words are missing here like "finding new forms of" or "applying new forms of" or "studying various types of" or "finding ways to provide more" reliable communication to connect the Internet to various services is in demand. In this paper, we analyze the security threats caused by malicious activities in the future Internet and propose a human behavior analysis-based security service model for malware detection and intrusion prevention to provide more reliable communication. Our proposed service model provides high reliability services by responding to security threats by detecting various malware intrusions and protocol authentications based on human behavior.

Application of an Arc Spark Detector for Prevention of Electric Fires in Communication Facilities (통신 전기설비 전기화재 예방을 위한 아크 스파크 검출기의 적용 방안)

  • Kim Charles J.;Kim Hee-Dong;Hwang C.S.
    • 한국정보통신설비학회:학술대회논문집
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    • 2002.08a
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    • pp.168-171
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    • 2002
  • 통신 전기설비에서 발생하는 전기화재의 주된 원인은 아크 및 스파크에 있으며, 조기경보의 원리는 스파크 및 아크의 검출에 있다. 이러한 원리에 의한 상용화 제품인 ASD(아크스파크검출기)의 원리를 소개하고, 무인분기 국사에 대한 적용방안을 제시하였으며, 하나의 무인국사에서 단독 설치후 시험한 결과를 소개하였다.

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A Study on the Ferry Sewol Disaster Cause and Marine Disaster Prevention Informatization with Big Data : In terms of ICT Administrative Spatial Informatization and Maritime Disaster Prevention System development (세월호사고원인과 빅데이터 해양방재정보화연구 -ICT행정공간정보화와 해양방재시스템개발 측면에서-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.6
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    • pp.567-580
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    • 2016
  • In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the marine disaster prevention system with big data, aspects of the era change. Therefore, this study was to derive a desirable vision for the big data marine disaster prevention informatization in terms of ICT maritime disaster prevention system development as preparedness for the maritime disaster by applying 'scenario planning' as a foresight method. Soon this study derived a successful marine disaster prevention informatization strategy as preparedness for the maritime disaster like Ferry Sewol Disaster. It proposed the big data marine disaster prevention informatization system with the use of the administrative aspects of information with spatial informatization as big data information. Also this study explored the future leadership strategy of the big data marine disaster prevention informatization in smart society. Eventually in 2030 to around, In order to still remain our marine disaster prevention informatization as a leading ICT nation, this study suggested the following strategy. It is important to ready the advanced Big Data administrative spatial informatization system In terms of prevention of incidents like Ferry Sewol Disaster.

Psychosocial Factors and Health Behavior among Korean Adults: A Cross-sectional Study

  • Kye, Su-Yeon;Park, Kee-Ho
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.1
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    • pp.49-56
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    • 2012
  • Objective: This study was an attempt to identify associations between health behavior, such as smoking, alcohol consumption, healthy diet, and physical activity, and psychosocial factors. Methods: This crosssectional study was conducted among 1,500 participants aged between 30 and 69 years, selected from a population-based database in October 2009 through multiple-stratified random sampling. Information was collected about the participants' smoking and drinking habits, dietary behavior, level of physical activity, stress, coping strategies, impulsiveness, personality, social support, sense of coherence, self-efficacy, health communication, and sociodemographics. Results: Agreeableness, as a personality trait, was negatively associated with smoking and a healthy diet, while extraversion was positively associated with drinking. The tendency to consume a healthy diet decreased in individuals with perceived higher stress, whereas it increased in individuals who had access to greater social support. Self-efficacy was found to be a strong predictor of all health behaviors. Provider-patient communication and physical environment were important factors in promoting positive healthy behavior, such as consumption of a healthy diet and taking regular exercise. Conclusions: Psychosocial factors influence individuals' smoking and drinking habits, dietary intake, and exercise patterns.

Early Detection of Lung Cancer Risk Using Data Mining

  • Ahmed, Kawsar;Abdullah-Al-Emran, Abdullah-Al-Emran;Jesmin, Tasnuba;Mukti, Roushney Fatima;Rahman, Md. Zamilur;Ahmed, Farzana
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.1
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    • pp.595-598
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    • 2013
  • Background: Lung cancer is the leading cause of cancer death worldwide Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of lung cancer prevention. However, this is a multi-layered problem. Therefore a lung cancer risk prediction system is here proposed which is easy, cost effective and time saving. Materials and Methods: Initially 400 cancer and non-cancer patients' data were collected from different diagnostic centres, pre-processed and clustered using a K-means clustering algorithm for identifying relevant and non-relevant data. Next significant frequent patterns are discovered using AprioriTid and a decision tree algorithm. Results: Finally using the significant pattern prediction tools for a lung cancer prediction system were developed. This lung cancer risk prediction system should prove helpful in detection of a person's predisposition for lung cancer. Conclusions: Most of people of Bangladesh do not even know they have lung cancer and the majority of cases are diagnosed at late stages when cure is impossible. Therefore early prediction of lung cancer should play a pivotal role in the diagnosis process and for an effective preventive strategy.

Dynamic Intrusion Prevention Scheme based on Linux Netfilter Frameworks (리눅스 Netfilter 프레임웍을 이용한 동적 침입 방지 기법)

  • Cho, Eun-Kyung;Ko, Kwang-Sun;Kang, Yong-Hyeog;Lim, Hyun-Kun;Eom, Young-Ik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05c
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    • pp.2161-2164
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    • 2003
  • 현재 사용되고 있는 침입 탐지 시스템들은 새로운 공격 패턴을 가진 침입을 탐지하기 위하여 규칙 데이터베이스를 지속적으로 갱신하고 있다. 그러나 이러한 침입 탐지 능력은 현재 알려진 기술이나 기법들에 한정된다. 따라서, 기존침입 탐지 시스템들은 공격을 받은 후, 현재까지 존재하지 않았던 새로운 기법이 적용된 공격이나 다소 변형된 공격을 받게 되면 침입을 탐지하지 못하거나 능동적 대처를 하지 못하였으며, tcpdump 또는 libpcap과 같은 응용 레벨의 프로그램을 사용하였기 때문에 실시간으로 패킷들을 감시할 수 없었다. 이러한 추가적인 공격들을 탐지하기 위해서 보다 강력하고 능동적인 네트워크 기반의 대응 기술이 요구되는데, 이에 본 논문에서는 이러한 요구 사항을 해결하기 위하여 패킷 감시의 정확성과 침입에 대한 실시간 대응성을 높이는 커널 레벨에서 동작하는 침입 탐지 모듈과, 악의적인 목적을 가진 패킷들을 차단하는 필터링 모듈 개발 기법을 제시하고자 한다.

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Research of Ideal Communication Methodology among Fault Tolerance System (결함 허용 시스템 간 이상적 통신방안 연구)

  • 구철회
    • Proceedings of the IEEK Conference
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    • 2003.07a
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    • pp.398-401
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    • 2003
  • In this paper, the basic concept and approach method of ideal communication among fault tolerance system has been studied and suggested. Fault tolerance should not be treated like Fault Avoidance and Fault Prevention. In this paper, Key specifications of mechanical and electrical characteristics of communication methods for fulfilling the requirements to meet the general purpose of fault tolerance system has been analyzed and presented.

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