• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.15 no.2
• /
• pp.13-22
• /
• 2005

To improve the anomaly IDS using system calls, this study focuses on Neural Networks Learning using the Soundex algorithm which is designed to change feature selection and variable length data into a fixed length learning pattern. That is, by changing variable length sequential system call data into a fixed length behavior pattern using the Soundex algorithm, this study conducted neural networks learning by using a backpropagation algorithm with fuzzy membership function. The back-propagation neural networks and Neuro-Fuzzy technique are applied for anomaly intrusion detection of system calls using Sendmail Data of UNM to demonstrate its aspect of he complexity of time, space and MDL performance.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.13 no.4
• /
• pp.151-159
• /
• 2003

Internet as being generalized, intrusion detection system is needed to protect computer system from intrusions synthetically. We propose an intrusion detection method to identify and control the contradiction on self-explanation that happen at profiling process of anomaly detection methodology. Because many patterns can be created on profiling process with association method, we present effective application plan through clustering for rules. Finally, we propose similarity function to decide whether anomaly action or not for user pattern using clustered pattern database.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.16 no.6
• /
• pp.3-13
• /
• 2006

Internet mail has become a common communication method to send and receive an amount of data due to the tremendous high speed Internet service increment. But in other respect, the risk and damage of Junk mail is growing rapidly and nowadays Junk mail delivery problem is becoming more serious, because this is used for an attack or propagation scheme of malicious code. It's a most dangerous dominant cause for computer system accident. This paper shows the Junk mail characteristic which is based on the analysis of mail log in reality and then shows the implementation of the FQDN (Fully Qualified Domain Name) check and Personalized classification system and evaluates its performance.

• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.158-170
• /
• 2021

Virtualization technologies are being adopted and broadly utilized in many fields and at different levels. In cloud computing, achieving load balancing across large distributed virtual machines is considered a complex optimization problem with an essential importance in cloud computing systems and data centers as the overloading or underloading of tasks on VMs may cause multiple issues in the cloud system like longer execution time, machine failure, high power consumption, etc. Therefore, load balancing mechanism is an important aspect in cloud computing that assist in overcoming different performance issues. In this research, we propose a new approach that combines the advantages of different task allocation algorithms like Round robin algorithm, and Random allocation with different threshold techniques like the VM utilization and the number of allocation counts using least connection mechanism. We performed extensive simulations and experiments that augment different scheduling policies to overcome the resource utilization problem without compromising other performance measures like makespan and execution time of the tasks. The proposed system provided better results compared to the original round robin as it takes into consideration the dynamic state of the system.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.339-345
• /
• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.6
• /
• pp.580-586
• /
• 2017

The establishment of big data service environment requires both cloud-based network technology and clustering technology to improve the efficiency of information access. These cloud-based networks and clustering environments can provide variety of valuable information in real-time, which can be an intensive target of attackers attempting illegal access. In particular, attackers attempting IP spoofing can analyze information of mutual trust hosts constituting clustering, and attempt to attack directly to system existing in the cluster. Therefore, it is necessary to detect and respond to illegal attacks quickly, and it is demanded that the security policy is stronger than the security system that is constructed and operated in the existing single system. In this paper, we investigate routing pattern changes and use them as detection information to enable active correspondence and efficient information service in illegal attacks at this network environment. In addition, through the step-by -step encryption based on the routing information generated during the detection process, it is possible to manage the stable service information without frequent disconnection of the information service for resetting.

• The KIPS Transactions:PartC
• /
• v.15C no.3
• /
• pp.141-148
• /
• 2008

Windows Vista published by Microsoft provides more powerful security mechanisms than previous Windows operating systems. In the forensics point of view, new security mechanisms make it more difficult to get data related to the criminals in a storage device. In this paper, we analyze BitLocker introduced as an new security mechanism in Windows Vista. Also, compared to the previous Windows operating systems, the changes and security issues of UAC and EFS in Windows Vista are discussed in the forensics point of view. Futhermore, we discuss other characteristics of Windows Vista useful for forensic examinations.

• Convergence Security Journal
• /
• v.10 no.3
• /
• pp.1-7
• /
• 2010

One of celebrities using Social media caught public's eye and interest in Korea. Thereby the number of the user has grown rapidly and by last year it had reached to about 770 million. But at the same time, it has brought us social issues such as invasion of privacy, spreading of malicious code, and stealing of ID. To solve these problems, first the government need to establish adequate law and policy. Second, Service provider should remove vulnerability in the security system and filter illegal information. Third, individual user should put more effort to protect their own privacy. This paper will suggest a solution of using the Social media more sound and secure.

• Journal of Digital Contents Society
• /
• v.6 no.4
• /
• pp.267-272
• /
• 2005

The ubiquitous computing environment is a new paradigm that represents the future life and is expected to bring about great changes in IT and in the lives of individuals. However, since a good deal of information can be easily obtained and shared in the ubiquitous computing environment, problems such as a security threat and infringement of privacy are getting serious. The present study is intended to explore some ways to minimize such problems by introducing RFID technology in the ubiquitous computing environment. This study also examines the causes of violation of security and privacy that might occur in the RFID system and requirement for security. In addition it seeks possible technical solutions to those causes.

• International Journal of Computer Science & Network Security
• /
• v.22 no.7
• /
• pp.283-293
• /
• 2022

One of the important areas of state policy in the socio-economic and cultural development of the country is cultural diplomacy. It contributes to the information dissemination about the country, strengthens interstate relations, and forms a positive image. Through cultural diplomacy, we achieve a positive perception of the world community of the country, determined by its place in the modern system of international relations. The aim of the study is a comparative analysis of cultural diplomacy opportunities for sustainable development at different levels of public relations, as well as the impact of cultural diplomacy opportunities on the indicators of the Global Sustainable Competitiveness Index and the Global Sustainable Development Index. Regarding the results of the research on the impact of cultural diplomacy opportunities on the indicators of the Global Index of Sustainable Competitiveness and the Global Index of Sustainable Development, four groups are identified among the countries of the European Union: countries with a very high level of sustainable competitiveness and sustainable development; countries with a high level of sustainable competitiveness and sustainable development; countries with low levels of sustainable competitiveness and sustainable development.