• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.17 no.6
• /
• pp.41-56
• /
• 2007

In this paper, we propose a specification-based intrusion detection system for WIPI(Wireless Internet Platform for Interoperability). In proposing the system, we focused on providing lightweight code, supporting multiple languages and hardware independence. The proposed system is based on an algorithm which detects an intrusion to main API of WIPI-HAL(Handset Adaptation Layer) and defines the prototype of mIDS(mobile IDS) API group that it can be added on the HAL. Moreover, we prove apply possibility through a WIPI emulator using java library.

• Review of KIISC
• /
• v.14 no.2
• /
• pp.6-11
• /
• 2004

본 고에서는 ISO/IEC의 IDS(Intrusion Detection System) 표준화 동향에 대한 내용을 기술한다. ISO/IEC에서는 IDS를 국제표준 형식이 아닌, 기술문서 형식으로 구성하고 있으며, 이들 문서들은 IDS 기본 구조에 대한 것(IT intrusion detection framework)과 기업 등에서 IDS를 선정하고 배치, 운영하는데 도움을 주는 것(Guidelines for the selection, deployment and operation of IDS)의 크게 2 가지로 구성된다.

• Journal of applied mathematics & informatics
• /
• v.30 no.5_6
• /
• pp.847-864
• /
• 2012

In recent years, using computer networks (wired and wireless networks) has been widespread in many applications. As computer networks become increasingly complex, the accompanied potential threats also grow to be more sophisticated and as such security has become one of the major concerns in them. Prevention methods alone are not sufficient to make them secure; therefore, detection should be added as another defense before an attacker can breach the system. Intrusion Detection Systems (IDSs) have become a key component in ensuring systems and networks security. An IDS monitors network activities in order to detect malicious actions performed by intruders and then initiate the appropriate countermeasures. In this paper, we present a survey and taxonomy of intrusion detection systems and then evaluate and compare them.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.7
• /
• pp.953-956
• /
• 2002

The threat to the network is increasing due to explosive increasing use of the Internet. Current IDS(Intrusion Detection System) detects intrusion and does individual response in small area network. It is important that construction of infra to do response in all system environment through sharing information between different network domains. This paper provides a policy-based IDS management architecture enabling management of intrusion detection systems. The IIDS(Integrated Intrusion Detection System) is composed of IDAs(Intrusion Detection Agents). We describe requirements in design and the elements of function.

• Journal of Multimedia Information System
• /
• v.6 no.4
• /
• pp.165-172
• /
• 2019

Machine-learning techniques have been actively employed to information security in recent years. Traditional rule-based security solutions are vulnerable to advanced attacks due to unpredictable behaviors and unknown vulnerabilities. By employing ML techniques, we are able to develop intrusion detection systems (IDS) based on anomaly detection instead of misuse detection. Moreover, threshold issues in anomaly detection can also be resolved through machine-learning. There are very few datasets for network intrusion detection compared to datasets for malicious code. KDD CUP 99 (KDD) is the most widely used dataset for the evaluation of IDS. Numerous studies on ML-based IDS have been using KDD or the upgraded versions of KDD. In this work, we develop an IDS model using CSE-CIC-IDS 2018, a dataset containing the most up-to-date common network attacks. We employ deep-learning techniques and develop a convolutional neural network (CNN) model for CSE-CIC-IDS 2018. We then evaluate its performance comparing with a recurrent neural network (RNN) model. Our experimental results show that the performance of our CNN model is higher than that of the RNN model when applied to CSE-CIC-IDS 2018 dataset. Furthermore, we suggest a way of improving the performance of our model.

• Journal of Institute of Control, Robotics and Systems
• /
• v.9 no.4
• /
• pp.310-319
• /
• 2003

As the importance and the need for network security are increased, many organizations use the various security systems. They enable to construct the consistent integrated security environment by sharing the network vulnerable information among IDS (Intrusion Detection System), firewall and vulnerable scanner. The multiple IDSes coordinate by sharing attacker's information for the effective detection of the intrusion is the effective method for improving the intrusion detection performance. The system which uses BBA (Blackboard Architecture) for the information sharing can be easily expanded by adding new agents and increasing the number of BB (Blackboard) levels. Moreover the subdivided levels of blackboard enhance the sensitivity of the intrusion detection. For the simulation, security models are constructed based on the DEVS (Discrete Event system Specification) formalism. The intrusion detection agent uses the ES (Expert System). The intrusion detection system detects the intrusions using the blackboard and the firewall responses to these detection information.

• International Journal of Computer Science & Network Security
• /
• v.22 no.12
• /
• pp.1-12
• /
• 2022

Besides unexpected growth perceived by IoT's, the variety and volume of threats have increased tremendously, making it a necessity to introduce intrusion detections systems for prevention and detection of such threats. But Intrusion Detection and Prevention System (IDPS) inside the IoT network yet introduces some unique challenges due to their unique characteristics, such as privacy inference, performance, and detection rate and their frequency in the dynamic networks. Our research is focused on the privacy inferences of existing intrusion prevention and detection system approaches. We also tackle the problem of providing unified a solution to implement the open-source IDPS in the IoT architecture for assessing the performance of IDS by calculating; usage consumption and detection rate. The proposed scheme is considered to help implement the human health monitoring system in IoT networks

• Journal of IKEEE
• /
• v.27 no.4
• /
• pp.524-530
• /
• 2023

This paper proposes an efficient algorithm to detect CAN (Controller Area Network) bus attack based on a lightweight CNN (Convolutional Neural Network), and an IDS(Intrusion Detection System) was designed, implemented, and verified with FPGA. Compared to conventional CNN-based IDS, the proposed IDS detects CAN bus attack on a frame-by-frame basis, enabling accurate and rapid response. Furthermore, the proposed IDS can significantly reduce hardware since it exploits only one convolutional layer, compared to conventional CNN-based IDS. Simulation and implementation results show that the proposed IDS effectively detects various attacks on the CAN bus.

• International Journal of Computer Science & Network Security
• /
• v.22 no.6
• /
• pp.67-74
• /
• 2022

One type of network security breach is the availability breach, which deprives legitimate users of their right to access services. The Denial of Service (DoS) attack is one way to have this breach, whereas using the Intrusion Detection System (IDS) is the trending way to detect a DoS attack. However, building IDS has two challenges: reducing the false alert and picking up the right dataset to train the IDS model. The survey concluded, in the end, that using a real dataset such as MAWILab or some tools like ID2T that give the researcher the ability to create a custom dataset may enhance the IDS model to handle the network threats, including DoS attacks. In addition to minimizing the rate of the false alert.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2008.05a
• /
• pp.658-661
• /
• 2008

As network security is coming up with significant problem after the major Internet sites were hacked nowadays, IDS(Intrusion Detection System) is considered as a next generation security solution for more trusted network and system security. We propose the new IDS model which can detect intrusion in the expanded distribute environment in host level, drawback of existing IDS, and implement prototype. We used pattern extraction agent so that we extract automatically audit file needed in intrusion detection even in other platforms.