• Title/Summary/Keyword: web attack

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Design of AOD System for MP3 Copyright Protection (MP3 저작권 보호를 위한 AOD 시스템의 설계)

  • Kim, Yeong-Jun;Kim, Tae-Yun
    • The KIPS Transactions:PartD
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    • v.9D no.2
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    • pp.323-328
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    • 2002
  • In recent years, e-Commerce is very active on the Internet, especially the World Wide Web alone: with the popularization of Internet using high-speed networks. Especially, Circulation of Multimedia Contents like MP3 data if widely being focused as one of the popular researches. However, the existing models of AOD (Audio On Demand) System lack substantial illegal copy protection or copyright protection. In this paper, we propose an AOD System that guarantees substantial illegal copy protection and copyright protection based on the PKI (Public Key Infrastructure). As transmitting MP3 data using the user's public key, the proposed .method prevents the attack of dropper during transmitting data. Also, it guarantees the right of users and distributors by prohibiting illegal users from using MP3 data.

A Methodology for Security Vulnerability Assessment Process on Binary Code (실행코드 취약점 분석 프로세스 방법론)

  • Hwang, Seong-Oun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.5
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    • pp.237-242
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    • 2012
  • Cyber attacks have rapidly increased by exploiting the underlying vulnerabilities in the target software. However, identifying and correcting these vulnerabilities are extremely difficult and time consuming tasks. To address these problems efficiently, we propose a systematic methodology for security vulnerability assessment process on binary code in the paper. Specifically, we first classified the existing vulnerabilities based on whether the target software run in a Web environment and features of the software. Based on the classification, we determined the list and scope of the vulnerabilities. As our future research direction, we need to further refine and validate our methodology.

Analysis of Naver CAPTCHA with Effective Segmentation (효과적인 글자 분리 방법을 사용한 네이버 캡차 공격)

  • Nyang, Dae Hun;Choi, Yong Heon;Hong, Seok Jun;Lee, Kyunghee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.23 no.5
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    • pp.909-917
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    • 2013
  • CAPTCHA is an automated test to tell apart computers from human mainly for web services, and it has been evolved since the most naive form in which users are requested to input simple strings has been introduced. Though many types of CAPTCHAs have been proposed, text-based CAPTCHAs have been widely prevailed for user convenience. In this paper, we introduce new segmentation schemes and show an attack method to break the CAPTCHA of Naver that occupies more than 70% of the market share in search engine. The experimental results show that 938 trials out of 1000 have successfully analyzed, which implies that we cannot use the CAPTCHA anymore.

Threats and countermeasures of malware (악성코드의 위협과 대응책)

  • Lim, Dong Yul
    • Journal of Convergence Society for SMB
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    • v.5 no.1
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    • pp.13-18
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    • 2015
  • The malware, as hackers generic name of executable code that is created for malicious purposes, depending on the presence or absence of a self-replicating ability infected subjects, and are classified as viruses, worms, such as the Trojan horse. Mainly Web page search and P2P use, such as when you use a shareware, has become penetration is more likely to occur in such a situation. If you receive a malware attack, whether the e-mail is sent it is automatically, or will suffer damage such as reduced system performance, personal information leaks. While introducing the current malware, let us examine the measures and describes the contents related to the malicious code.

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A Study on Traffic Anomaly Detection Scheme Based Time Series Model (시계열 모델 기반 트래픽 이상 징후 탐지 기법에 관한 연구)

  • Cho, Kang-Hong;Lee, Do-Hoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.5B
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    • pp.304-309
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    • 2008
  • This paper propose the traffic anomaly detection scheme based time series model. We apply ARIMA prediction model to this scheme and transform the value of the abnormal symptom into the probability value to maximize the traffic anomaly symptom detection. For this, we have evaluated the abnormal detection performance for the proposed model using total traffic and web traffic included the attack traffic. We will expect to have an great effect if this scheme is included in some network based intrusion detection system.

Secure Coding guide support tools design for SW individual developers (SW 개인 개발자를 위한 Secure_Coding 가이드 지원 도구 설계)

  • Son, Seung-wan;Kim, Kwang-seok;Choi, Jeong-won;Lee, Gang-soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.595-598
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    • 2014
  • The cyber attacks of recent attacks that target zero-day exploit security vulnerabilities before the security patch is released (Zero Day) attack, the web site is without the Lord. These attacks, those that use the vulnerability of security that is built into the software itself is in most cases, cyber attacks that use the vulnerability of the security of the source code, in particular, has a characteristic response that are difficult to security equipment. Therefore, it is necessary to eliminate the security vulnerability from step to implement the software to prevent these attacks. In this paper, we try to design a Secure Coding Guide support tool to eliminate the threat of security from the stage of implementation.

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A study on Countermeasures by Detecting Trojan-type Downloader/Dropper Malicious Code

  • Kim, Hee Wan
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.288-294
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    • 2021
  • There are various ways to be infected with malicious code due to the increase in Internet use, such as the web, affiliate programs, P2P, illegal software, DNS alteration of routers, word processor vulnerabilities, spam mail, and storage media. In addition, malicious codes are produced more easily than before through automatic generation programs due to evasion technology according to the advancement of production technology. In the past, the propagation speed of malicious code was slow, the infection route was limited, and the propagation technology had a simple structure, so there was enough time to study countermeasures. However, current malicious codes have become very intelligent by absorbing technologies such as concealment technology and self-transformation, causing problems such as distributed denial of service attacks (DDoS), spam sending and personal information theft. The existing malware detection technique, which is a signature detection technique, cannot respond when it encounters a malicious code whose attack pattern has been changed or a new type of malicious code. In addition, it is difficult to perform static analysis on malicious code to which code obfuscation, encryption, and packing techniques are applied to make malicious code analysis difficult. Therefore, in this paper, a method to detect malicious code through dynamic analysis and static analysis using Trojan-type Downloader/Dropper malicious code was showed, and suggested to malicious code detection and countermeasures.

Comparative Study of Machine learning Techniques for Spammer Detection in Social Bookmarking Systems (소셜 복마킹 시스템의 스패머 탐지를 위한 기계학습 기술의 성능 비교)

  • Kim, Chan-Ju;Hwang, Kyu-Baek
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.5
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    • pp.345-349
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    • 2009
  • Social bookmarking systems are a typical web 2.0 service based on folksonomy, providing the platform for storing and sharing bookmarking information. Spammers in social bookmarking systems denote the users who abuse the system for their own interests in an improper way. They can make the entire resources in social bookmarking systems useless by posting lots of wrong information. Hence, it is important to detect spammers as early as possible and protect social bookmarking systems from their attack. In this paper, we applied a diverse set of machine learning approaches, i.e., decision tables, decision trees (ID3), $na{\ddot{i}}ve$ Bayes classifiers, TAN (tree-augment $na{\ddot{i}}ve$ Bayes) classifiers, and artificial neural networks to this task. In our experiments, $na{\ddot{i}}ve$ Bayes classifiers performed significantly better than other methods with respect to the AUC (area under the ROC curve) score as veil as the model building time. Plausible explanations for this result are as follows. First, $na{\ddot{i}}ve$> Bayes classifiers art known to usually perform better than decision trees in terms of the AUC score. Second, the spammer detection problem in our experiments is likely to be linearly separable.

Performance analysis of volleyball games using the social network and text mining techniques (사회네트워크분석과 텍스트마이닝을 이용한 배구 경기력 분석)

  • Kang, Byounguk;Huh, Mankyu;Choi, Seungbae
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.619-630
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    • 2015
  • The purpose of this study is to provide basic information to develop a game strategy plan of a team in a future by identifying the patterns of attack and pass of national men's professional volleyball teams and extracting core key words related with volleyball game performance to evaluate game performance using 'social network analysis' and 'text mining'. As for the analysis result of 'social network analysis' with the whole data, group '0' (6 players) and group '1' (11 players) were partitioned. A point of view the degree centrality and betweenness centrality in 'social network analysis' results, we can know that the group '1' more active game performance than the group '0'. The significant result for two group (win and loss) obtained by 'text mining' according to two groups ('0' and '1') obtained by 'social network analysis' showed significant difference (p-value: 0.001). As for clustering of each network, group '0' had the tendency to score points through set player D and E. In group '1', the player K had the tendency to fail if he attack through 'dig'; players C and D have a good performance through 'set' play.

Password-Based Authentication Protocol for Remote Access using Public Key Cryptography (공개키 암호 기법을 이용한 패스워드 기반의 원거리 사용자 인증 프로토콜)

  • 최은정;김찬오;송주석
    • Journal of KIISE:Information Networking
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    • v.30 no.1
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    • pp.75-81
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    • 2003
  • User authentication, including confidentiality, integrity over untrusted networks, is an important part of security for systems that allow remote access. Using human-memorable Password for remote user authentication is not easy due to the low entropy of the password, which constrained by the memory of the user. This paper presents a new password authentication and key agreement protocol suitable for authenticating users and exchanging keys over an insecure channel. The new protocol resists the dictionary attack and offers perfect forward secrecy, which means that revealing the password to an attacher does not help him obtain the session keys of past sessions against future compromises. Additionally user passwords are stored in a form that is not plaintext-equivalent to the password itself, so an attacker who captures the password database cannot use it directly to compromise security and gain immediate access to the server. It does not have to resort to a PKI or trusted third party such as a key server or arbitrator So no keys and certificates stored on the users computer. Further desirable properties are to minimize setup time by keeping the number of flows and the computation time. This is very useful in application which secure password authentication is required such as home banking through web, SSL, SET, IPSEC, telnet, ftp, and user mobile situation.