• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.64-70
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• 2023

Maritime transport is dominant in the overall volume of all international transportation. Existence and overcoming of problems, which cause pressure on shipping safety, remain actual and fully concern both maritime and inland transport. Increasing speed and cargo capacity of the ships along with the reduction of crew members lead to the automation of a growing number of work processes, which indicates the need to actively introduce appropriate measures in the security system of sea-going ships and commercial ports and to develop modern approaches to minimize negative events and incidents in the process of ship operation. Advantages in use of modern methods of monitoring the safety of ship operations, management of possible events and incidents, including investigation of accidents, first, aimed at prevention of negative occurrences and ways of prevention on this basis. Considering statistics on incidents increase, this work presents analysis of general ship accident rate, study of major accidental events growth annually, and investigation of causes of incidents, which most frequently occur in port waters and at open sea. A survey of current approaches to ensuring the safety of shipping by implementing effective tools, such as event and incident management, has been conducted.

• Korean Security Journal
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• no.52
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• pp.43-70
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• 2017

Terrorist organizations that take advantage of the occasion of international events are changing from targeting specified people to attacking general public, raising the anxiety of the audience and participating countries. Therefore, the host country intends to improve its status as the host by ensuring safety and crisis management at any cost. As a country with a wealth of experience of hosting international events, Korea takes the burden of the security at Pyeongchang Winter Olympics. Consequently, to successfully host this winter Olympics, the organizing committee should bear in mind that Korea is no longer a safe country regarding terrorist attacks and take countermeasures against various crimes and terrorism that may arise during the Winter Olympic Games. This study overviews various measures as follows. First, the change of counter-terrorism strategy is necessary. Second, the safety entity and safety measures for Pyeongchang Olympic Games should be established. Third, private security companies should be actively utilized. Fourth, the safety management training for private security and safety personnel should be strengthened. Lastly, it is necessary to establish a rapid and organic preemptive safety management system to cope with safety and crisis effectively at Pyeongchang Winter Olympics and other international events that will be held in the future.

• The Journal of Korea Robotics Society
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• v.2 no.1
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• pp.71-79
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• 2007

We propose and develop Home Security robot system based on Sensor Network (HSSN) configured by sensor nodes including radio frequency (RF), ultrasonic, temperature, light and sound sensors. Our system can acknowledge security alarm events that are acquired by sensor nodes and relayed in the hop-by-hop transmission way. There are sensor network, Home Security Mobile Robot (HSMR) and Home Server(HS) in this system. In the experimental results of this system, we presented that our system has more enhanced performance of response to emergency context and more speedy and accurate path planning to target position for arriving an alarm zone with obstacle avoidance and acquiring the context-aware information.

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.2051-2066
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• 2017

This paper deals with reconfigurable secured mobile systems where the reconfigurability has the potential of providing a required adaptability to change the system requirements. The reconfiguration scenario is presented as a run-time automatic operation which allows security mechanisms and the addition-removal-update of software tasks. In particular, there is a definite requirement for filtering and intrusion detection mechanisms that will use fewer resources and also that will improve the security on the secured mobile devices. Filtering methods are used to control incoming traffic and messages, whereas, detection methods are used to detect malware events. Nevertheless, when different reconfiguration scenarios are applied at run-time, new security threats will be emerged against those systems which need to support multiple security objectives: Confidentiality, integrity and availability. We propose in this paper a new approach that efficiently detects threats after reconfigurable scenarios and which is based on filtering and intrusion detection methods. The paper's contribution is applied to Android where the evaluation results demonstrate the effectiveness of the proposed middleware in order to detect the malicious events on reconfigurable secured mobile systems and the feasibility of running and executing such a system with the proposed solutions.

• Journal of Advanced Navigation Technology
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• v.14 no.3
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• pp.397-408
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• 2010

SMEs (Small and Medium-sized Enterprise) have became competitive by improvement of work efficiency due to utilization of DBMS, which is mainly used among large enterprises, but reverse functions such as security events and vulnerabilities have been increasing. SMEs without enough investment on security infrastructure have difficulties with implementing DB security products. Therefore the most of SMEs are exposed to hacking and security accidents defensivelessly. Hence this study offers distributional H/W DB security solution which is affordable for SMEs.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.618-628
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• 2020

The purpose of this paper is to propose a new security orchestration service model by combining various security solutions that have been introduced and operated individually as a basis for cyber security framework. At present, in order to respond to various and intelligent cyber attacks, various single security devices and SIEM and AI solutions that integrate and manage them have been built. In addition, a cyber security framework and a security control center were opened for systematic prevention and response. However, due to the document-oriented cybersecurity framework and limited security personnel, the reality is that it is difficult to escape from the control form of fragmentary infringement response of important detection events of TMS / IPS. To improve these problems, based on the model of this paper, select the targets to be protected through work characteristics and vulnerable asset identification, and then collect logs with SIEM. Based on asset information, we established proactive methods and three detection strategies through threat information. AI and SIEM are used to quickly determine whether an attack has occurred, and an automatic blocking function is linked to the firewall and IPS. In addition, through the automatic learning of TMS / IPS detection events through machine learning supervised learning, we improved the efficiency of control work and established a threat hunting work system centered on big data analysis through machine learning unsupervised learning results.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.59-66
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• 2021

In this paper, an improved integrated security control procedure is newly proposed by applying artificial intelligence technology to integrated security control and unifying the existing security control and AI security control response procedures. Current cyber security control is highly dependent on the level of human ability. In other words, it is practically unreasonable to analyze various logs generated by people from different types of equipment and analyze and process all of the security events that are rapidly increasing. And, the signature-based security equipment that detects by matching a string and a pattern has insufficient functions to accurately detect advanced and advanced cyberattacks such as APT (Advanced Persistent Threat). As one way to solve these pending problems, the artificial intelligence technology of supervised and unsupervised learning is applied to the detection and analysis of cyber attacks, and through this, the analysis of logs and events that occur innumerable times is automated and intelligent through this. The level of response has been raised in the overall aspect by making it possible to predict and block the continuous occurrence of cyberattacks. And after applying AI security control technology, an improved integrated security control service model was newly proposed by integrating and solving the problem of overlapping detection of AI and SIEM into a unified breach response process(procedure).

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.199-207
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• 2023

Trend Impact Analysis is a prominent hybrid method has been used in future studies with a modified surprise- free forecast. It considers experts' perceptions about how future events may change the surprise-free forecast. It is an advanced forecasting tool used in futures studies for identifying, understanding and analyzing the consequences of unprecedented events on future trends. In this paper, we propose an advanced mechanism to generate more justifiable estimates to the probability of occurrence of an unprecedented event as a function of time with different degrees of severity using adaptive neuro-fuzzy inference system (ANFIS). The key idea of the paper is to enhance the generic process of reasoning with fuzzy logic and neural network by adding the additional step of attributes simulation, as unprecedented events do not occur all of a sudden but rather their occurrence is affected by change in the values of a set of attributes. An ANFIS approach is used to identify the occurrence and severity of an event, depending on the values of its trigger attributes.

• Korean Security Journal
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• no.28
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• pp.131-152
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• 2011

Jangyongyoung was a royal guard in the King Jeongjo Period. The guard was established after the inauguration of King Jeongjo to protect the king and strengthen the royal authority. In terms of security study, it has high value in that it gives insights to the development of security system and its achievements and new role of supporting king's cultural events. Jangyongyoung was a formal guard established to achieve king's political reform. After the King Injo restoration, there sprouted many security guards, including Howicheong, Eoyounggun, and Gemgun. Those were all makeshift systems. But Jangyongyoung grew as a standing and futurist system as it went through some different names, Sukwiso, Jangyongwi, and finally Jangyongyoung. It served to protect the legitimacy of King's succession, to strengthen royal authority, and to bring stability to people's lives. Jangyongyoung had an efficient organization and operation. It also had the characteristics of modern security, integration, professionalism and size. In Jangyongyoung, military training and security were not separate. They protected king from dangers and guarded king's bed, and they trained themselves to deal with unforeseen occurrences. By doing so, they could support king's many activities, including visit to royal tombs, touring of Hwaseong Fortress, and watching military training. Jangyongyoung not only served as a military guard but also it had a cultural function. They made it possible that king and people met in the king's procession. Jangyongyoung supported Jeongjo's political reform, and as a royal guard it enhanced the authority of royal family and exemplified a new security guard by supporting king's cultural events where king, servants and people could become one.

• 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.