• Journal of KIISE
• /
• v.41 no.12
• /
• pp.1018-1025
• /
• 2014

An ROP attack creates gadget sequences which consist of existing code snippets in a program, and hijacks the control flow of a program by chaining and executing gadget sequences consecutively. Existing defense schemes have limitations in that they cause high execution overhead, an increase in the binary size overhead, and a low applicability. In this paper, we solve these problems by introducing zero-sum defender, which is a fast and space-efficient mitigation scheme against ROP attacks. We find a fundamental property of gadget execution in which control flow starts in the middle of a function without a call instruction and ends with a return instruction. So, we exploit this property by monitoring whether the execution is abused by ROP attacks. We achieve a very low runtime overhead with a very small increase in the binary size. In our experimental results, we verified that our defense scheme prevents real world ROP attacks, and we showed that there is only a 2% performance overhead and a 1% binary size increase overhead in several benchmarks.

• Convergence Security Journal
• /
• v.19 no.4
• /
• pp.77-85
• /
• 2019

As the Internet continues to evolve, cyber attacks are becoming more precise and covert. Anonymous communication, which is used to protect personal privacy, is also being used for cyber attacks. Not only it hides the attacker's IP address but also encrypts traffic, which allows users to bypass the information protection system that most organizations and institutions are using to defend cyber attacks. For this reason, anonymous communication can be used as a means of attacking malicious code or for downloading additional malware. Therefore, this study aims to suggest a method to detect and block encrypted anonymous communication as quickly as possible through artificial intelligence. Furthermore, it will be applied to the defense to detect malicious communication and contribute to preventing the leakage of important data and cyber attacks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.10a
• /
• pp.937-939
• /
• 2014

Recently, an intelligent APT(Advanced Persistent Threat) attack which aims to a special target is getting to be greatly increased. It is very hard to protect with existing intrusion detection methods because of the difficulties to protect the initial intrusion of malicious code. In this paper, we analyze out-bound traffics to prevent call-back step after malicious code intrusion, and propose an APT malicious traffic detection method with considering of trust. The proposed method is expected to provide a basement to improve the detection rate in comparing with that of existing detection methods.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.1
• /
• pp.85-94
• /
• 2014

This paper studied the detection technique using file DNA-based behavior pattern analysis in order to minimize damage to user system by malicious programs before signature or security patch is released. The file DNA-based detection technique was applied to defend against zero day attack and to minimize false detection, by remedying weaknesses of the conventional network-based packet detection technique and process-based detection technique. For the file DNA-based detection technique, abnormal behaviors of malware were splitted into network-related behaviors and process-related behaviors. This technique was employed to check and block crucial behaviors of process and network behaviors operating in user system, according to the fixed conditions, to analyze the similarity of behavior patterns of malware, based on the file DNA which process behaviors and network behaviors are mixed, and to deal with it rapidly through hazard warning and cut-off.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.24 no.5
• /
• pp.839-850
• /
• 2014

As the social and financial damages caused by APT attack such as 3.20 cyber terror are increased, the technical solution against APT attack is required. It is, however, difficult to protect APT attack with existing security equipments because the attack use a zero-day malware persistingly. In this paper, we propose a host based anomaly detection method to overcome the limitation of the conventional signature-based intrusion detection system. First, we defined 39 features to identify between normal and abnormal behavior, and then collected 8.7 million feature data set that are occurred during running both malware and normal executable file. Further, each process is represented as 83-dimensional vector that profiles the frequency of appearance of features. the vector also includes the frequency of features generated in the child processes of each process. Therefore, it is possible to represent the whole behavior information of the process while the process is running. In the experimental results which is applying C4.5 decision tree algorithm, we have confirmed 2.0% and 5.8% for the false positive and the false negative, respectively.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.1
• /
• pp.69-79
• /
• 2013

Recently, many enterprises are suffering from advanced types of malware and their variants including intelligent malware that can evade the current security systems. This addresses the fact that current security systems have limits on protecting advanced and intelligent security threats. To enhance the overall level of security, first of all, it needs to increase detection ratio of each security solution within a security system. In addition, it is also necessary to implement internetworking between multiple security solutions to increase detection ratio and response speed. In this paper, we suggest a collaborative security response method to overcome the limitations of the previous Internet service security solutions. The proposed method can show an enhanced result to respond to intelligent security threats.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2024.01a
• /
• pp.49-50
• /
• 2024

본 논문에서는 웹쉘 악성코드를 정확하게 분류하고, 빠른시간안에 자동으로 웹쉘 분류 및 분석을 통하여 웹쉘을 탐지하기 위하여 인공지능 머신러닝 기반의 Supervised AI ML 및 Classification 알고리즘을 적용하여 빠른 시간안에 분류, 정확한 분석을 통하여 자동화된 탐지시스템인 MWSDS를 제안하고 웹쉘 실험 데이터를 통하여 실증하였다. 본제안의 경우 웹쉘악성코드 공격에 대한 대응뿐만아니라 관리적인 정보보호 체계수립을 통하여 보다 효과적이며, 지속적으로 대응할 수 있을 것으로 전망된다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.10a
• /
• pp.619-621
• /
• 2001

현재 대부분의 액티브 네트워크에서 액티브 노드로 전송된 패킷은 프로그램 코드와 데이터를 동시에 가지고 있으며, 기존 네트웍 방식에서의 저장(store)-전송(forward) 형태와는 달리 저장(store)-연산(compute)-전송(forward) 방식으로 패킷 처리를 한다 이 과정에서 패킷에 악성 코드가 추가되거나 실제 데이터가 변경되는 경우에는 데이터의 무결성을 보장할 수 없다. 따라서 이 논문에서는 액티브 노드에 들어오는 패킷과 그 노드에서 처리가 이루어진 후 나가는 패킷을 비교하여 악의적이거나 악의 적이지는 않지만 실수로 인한 패킷의 오류를 방어함으로서 액티브 노드의 QoS를 향상시켜주는 방식을 제안한다.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.3
• /
• pp.161-166
• /
• 2023

In recent years, new and variant hacking of binary codes has increased, and the limitations of techniques for detecting malicious codes in source programs and defending against attacks are often exposed. Advanced software security vulnerability detection technology using machine learning and deep learning technology for binary code and defense and response capabilities against attacks are required. In this paper, we propose a malware clustering method that groups malware based on the characteristics of the taint information after entering dynamic taint information by tracing the execution path of binary code. Malware vulnerability detection was applied to a three-layered Few-shot learning model, and F1-scores were calculated for each layer's CPU and GPU. We obtained 97~98% performance in the learning process and 80~81% detection performance in the test process.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2015.04a
• /
• pp.499-500
• /
• 2015

최근 인터넷 기술 발전에 따라 웹 시장이 커지고 웹 사이트 범죄가 급증하고 있다. 통계에 따르면 악성코드 주요 전파경로로 웹 사이트가 가장 높은 비율을 차지 할 정도로 조심해야 할 전파경로 중 하나이다. 그 중에서 이 논문은 웹 사이트 관련 공격 기술 중 하나인 크로스 사이트 스트립트(Cross Site Script, XSS)취약점을 알아본다. 먼저 XSS에 대해 알아보고, 실제 공격 예시를 살펴본다. 그리고 XSS를 막기위한 방어대책으로 화이트 리스트와 필터링에 대해 알아본다.