• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.14-18
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• 2017

In this paper, an contemplate the direction for Usable Security in IT security and User Experience. To evaluate how the user interface is convenient to use, we examine the components such as the property, learnable property, memory simplicity, faults and satisfaction level. By considering for the security, we should bring positive effects on the user experience. By emphasizing usability and security at the same time, we should increase the satisfaction level of the user experience and then produce the valuable experience through participation, use and observation. The positive user experience is the important task for the software engineering, business administration and others., and this will result satisfaction of the users, brand trust, and success in the market. On the other hand, for the negative user experience, the users cannot achieve their desired goal and therefore, are unsatisfied due to emotional, rational and economic inconvenience. Due to this, we should try to maintain a certain level of usability and security of the system in IT security and User Experience.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 D
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• pp.2747-2749
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• 2003

Security is concerned with the protection of assets from threats, where threats are categorised as the potential for abuse of protected assets. All categories of threats should be considered, but in the domain of security greater attention is given to those threats that are related to malicious or other human activities ISO/IEC 15408 requires the TOE(Target of Evaluation) Security Environment section of a Protection Profile(PP) or Security Target(ST) to contain a list of threats about the TOE security environment or the intended usage of the TOE. This paper presents a specific physical threats should be considered in the smart card PP which developers of smart card PP must consider.

• 한국정보보호학회:학술대회논문집
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• 한국정보보호학회 2001년도 종합학술발표회논문집
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• pp.147-152
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• 2001

This research aims to unravel the significant features of the human immune system, which would be successfully employed for a novel network intrusion detection model. Several salient features of the human immune system, which detects intruding pathogens, are carefully studied and the possibility and the advantages of adopting these features for network intrusion detection are reviewed and assessed.

• International Journal of Computer Science & Network Security
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• 제23권4호
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• pp.111-115
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• 2023

Knowledge Based Authentication is the most well-known technique for user authentication in a computer security framework. Most frameworks utilize a straightforward PIN (Personal Identification Number) or psssword as an data authenticator. Since password based authenticators typically will be software based, they are inclined to different attacks and weaknesses, from both human and software.Some of the attacks are talked about in this paper.

• Journal of Information Technology Applications and Management
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• 제16권3호
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• pp.73-86
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• 2009

To establish an effective security strategy, business enterprises need a security benchmarking tool. The strategy helps to lessen an impact and a damage in any threat. This study analyses many aspects of information security management and suggests a way to deal with security investments by considering important factors that affect security manager's decision. To address the different threats resulting from a major cause of accidents inside an enterprise, we investigate an approach that followed ISO17799. We unfold a criminology theory that has designated many measures against the threat as suggested by General Deterrence Theory. The study proposes a coherent model of the theory to improve the security measures especially in handling and protecting company assets and human lives as well.

• 융합보안논문지
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• 제16권3_1호
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• pp.99-106
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• 2016

군대에서는 폭력행위를 금지하고 있으며, 군기유지의 책임은 지휘관에게 있다고 정하고 있다. 이러한 책임을 완수하기 위해 최일선에서 근무하는 초급간부들의 인권은 보호받지 못하고 있는 실정이며 군대 폭력으로 이어지는 원인이 되고 있다. 이와같은 폭력 행위를 근절하기 위해서는 초급 군 간부의 인권이 보장될 수 있는 군 조직문화의 개혁이 필요하다.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.219-222
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• 2021

The study shed the light on the information required by Governance Principles and Corporate Social Responsibilities of human resources department from the point deans' perspectives of BA colleges during the discussion the publication of studies that academic members earlier submitted in many journals as authors of similar studies talking about business schools and CSR in Saudi Arabia universities. The study sample was the deans of business schools in northern border university and interviews were used to collect data. Findings showed that CSR in business colleges within an integrated set of research products in the human resource that he owns, support the mechanisms of social services from a purposeful pioneering and creative perspective. In addition, the success of business administration colleges in preparing these cadres depends on the college's senior leadership represented by its dean and its administrative policy to motivate academic staff and students to develop the CSR and governance.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.131-139
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• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• International Journal of Computer Science & Network Security
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• 제22권6호
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• pp.97-108
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• 2022

The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.

• International Journal of Computer Science & Network Security
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• 제23권3호
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• pp.144-150
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• 2023

With progressive advancements in Man-made consciousness (computer based intelligence) and Profound Learning (DL), contributing altogether to Normal Language Handling (NLP), the precision and nature of Machine Interpretation (MT) has worked on complex. There is a discussion, but that its no time like the present the human interpretation became immaterial or excess. All things considered, human flaws are consistently dealt with by its own creations. With the utilization of brain networks in machine interpretation, its been as of late guaranteed that keen frameworks can now decipher at standard with human interpreters. In any case, simulated intelligence is as yet not without any trace of issues related with handling of a language, let be the intricacies and complexities common of interpretation. Then, at that point, comes the innate predispositions while planning smart frameworks. How we plan these frameworks relies upon what our identity is, subsequently setting in a one-sided perspective and social encounters. Given the variety of language designs and societies they address, their taking care of by keen machines, even with profound learning abilities, with human proficiency looks exceptionally far-fetched, at any rate, for the time being.