• Title/Summary/Keyword: phishing

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A Study proposal for URL anomaly detection model based on classification algorithm (분류 알고리즘 기반 URL 이상 탐지 모델 연구 제안)

  • Hyeon Wuu Kim;Hong-Ki Kim;DongHwi Lee
    • Convergence Security Journal
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    • v.23 no.5
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    • pp.101-106
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    • 2023
  • Recently, cyberattacks are increasing in social engineering attacks using intelligent and continuous phishing sites and hacking techniques using malicious code. As personal security becomes important, there is a need for a method and a solution for determining whether a malicious URL exists using a web application. In this paper, we would like to find out each feature and limitation by comparing highly accurate techniques for detecting malicious URLs. Compared to classification algorithm models using features such as web flat panel DB and based URL detection sites, we propose an efficient URL anomaly detection technique.

Analysis of CMC Call used in Voice Phishing & Artifact from the perspective of investigation (수사 관점에서의 보이스피싱에 활용되는 CMC 기능 및 아티팩트 분석)

  • Min-Jung Yoo;Seung-hyun Park;Seong-Min Kim
    • Annual Conference of KIPS
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    • 2024.05a
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    • pp.214-215
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    • 2024
  • 삼성 스마트폰 계정 기반 서비스인 다른 기기에서 전화/문자하기(CMC) 기능이 보이스피싱의 새로운 기술로 동원되고 있다. 기존의 심박스와 같은 불법 중계기보다 발신 번호 변작에 쉽게 활용할 수 있어 CMC 기능을 악용한 보이스피싱 범죄가 증가하고 있으나, 이에 대한 연구가 미비한 현실이다. 본 논문에서는 삼성 기기에서의 CMC 활성화 및 기능 사용 여부에 따른 안드로이드 시스템 로그에서의 차이를 분석하고, 이를 바탕으로 보이스피싱 수사에 활용할 수 있는 포렌식 아티팩트 분석 방법을 제안한다.

QR-Code Based Mutual Authentication System for Web Service (웹 서비스를 위한 QR 코드 기반 상호 인증 시스템)

  • Park, Ji-Ye;Kim, Jung-In;Shin, Min-Su;Kang, Namhi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.4
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    • pp.207-215
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    • 2014
  • Password based authentication systems are most widely used for user convenience in web services. However such authentication systems are known to be vulnerable to various attacks such as password guessing attack, dictionary attack and key logging attack. Besides, many of the web systems just provide user authentication in a one-way fashion such that web clients cannot verify the authenticity of the web server to which they set access and give passwords. Therefore, it is too difficult to protect against DNS spoofing, phishing and pharming attacks. To cope with the security threats, web system adopts several enhanced schemes utilizing one time password (OTP) or long and strong passwords including special characters. However there are still practical issues. Users are required to buy OTP devices and strong passwords are less convenient to use. Above all, one-way authentication schemes generate several vulnerabilities. To solve the problems, we propose a multi-channel, multi-factor authentication scheme by utilizing QR-Code. The proposed scheme supports both user and server authentications mutually, thereby protecting against attacks such as phishing and pharming attacks. Also, the proposed scheme makes use of a portable smart device as a OTP generator so that the system is convenient and secure against traditional password attacks.

Prevention Methods of Cyber-crimes using the Private Security (민간경비를 활용한 사이버범죄 예방 방안)

  • Kim, Sang-Woon;Jo, Hyun-Bin
    • The Journal of the Korea Contents Association
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    • v.13 no.3
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    • pp.141-151
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    • 2013
  • With the spread of Personal Computers(PC) in the 1980's, many people started to deal businesses with PC. From late 1990's, the Internet age with PC have started and many people have showed keen interest in cyber-space and now they are utilizing it. Since 2000's the use of cyber-space have skyrocketed and it caused significant changes to humans' life. There was a huge prosperity to us but the new kind of crime, cyber-crime, was raised. Unlike past physical type of crimes, those cyber-crimes take place in the cyber-space and they have special features of non-facing, anonymity, specialty, technologic, repetition, continuation. Those cyber-crimes are continually growing since 2003 and in 2010 it almost doubled compared to 2003. General cyber-crimes like phishing-scam pornography circulation was most of them and notably perpetrators of them are younger generation. Recently cyber-crimes are showing the trend of advancing more and more and cyber-bullying, fraud like phishing scam are on the rise. The police are responding by making 'Cyber Terror Response Center', but it does not work effectively with the problems of breakup of prevention and investigation unit, procedure of investigation and the system itself. So, I suggest practical use of private security to remedy our police's weakness and to prevent cyber-crimes. Preventing solutions of cyber-crime with private security are physical defense of large-scale servers and vital computers, building of Back-up system to prevent vital data loss, and building of cyber-crime preventing system combining software and hardware.

A Design of Information Security Education training Databank System for Preventing Computer Security incident (침해사고 예방을 위한 정보보안 교육훈련 문제은행 시스템)

  • Mo, Eun-Su;Lee, Jae-Pil;Lee, Jae-Gwang;Lee, Jun-Hyeon;Lee, Jae-Kwang
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.277-280
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    • 2015
  • Smishing, Phishing personal privacy caused by Incident accidents such as Phishing information security has become a hot topic. Such incidents have privacy in personal information management occurs due to a lack of user awareness. This paper is based on the existing structure of the XML Tag question bank used a different Key-Value Structure-based JSON. JSON is an advantage that does not depend on the language in the text-based interchange format. The proposed system is divided into information security sector High, Middle and Low grade. and Provides service to the user through the free space and the smart device and the PC to the constraints of time. The use of open source Apache Load Balancing technology for reliable service. It also handles the user's web page without any training sessions Require server verification result of the training(training server). The result is sent to the training server using jQuery Ajax. and The resulting data are stored in the database based on the user ID. Also to be used as a training statistical indicators. In this paper, we design a level training system to enhance the user's information security awareness.

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A Study on a Secure Internet Service Provider Model Using Smart Secure-Pad (스마트 보안패드를 이용한 안전한 인터넷 서비스 제공 모델에 관한 연구)

  • Lee, Jae-Sik;Kim, Hyung-Joo;Jun, Moon-Seog
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.3
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    • pp.1428-1438
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    • 2013
  • Services take place in Internet environment, a formation of the trust relationship between user and service provider for services. Different authentication schemes such as using Certificate of Public Key Infrastructure authentication and using ID/PW for a simple user authentication have been proposed for trust relationship. In addition, in the case of electronic financial transactions, transaction integrity and non-repudiation features are provided. These services are provided in Internet environment, use various measures to ensure service safety. However, it was difficult to prevent attacks using existing security technology because of emergence of MITB attack that manipulate the memory area of the Web browser and social engineering attacks such as phishing/pharming, requires application of new security technologies became. In this paper, we propose a concept of smart secure-pad, and utilize it safely formed a trust relationship between user and service provider, a model has been proposed to ensure safety of data transmission. Proposed model's security evaluation results show security against to MITB attack and phishing/pharming that can't be prevent attack using existing security technology. In addition, service provider can easily apply the model in safe environment can provide Internet service using provided representative services applying the proposed model.

AutoML Machine Learning-Based for Detecting Qshing Attacks Malicious URL Classification Technology Research and Service Implementation (큐싱 공격 탐지를 위한 AutoML 머신러닝 기반 악성 URL 분류 기술 연구 및 서비스 구현)

  • Dong-Young Kim;Gi-Seong Hwang
    • Smart Media Journal
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    • v.13 no.6
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    • pp.9-15
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    • 2024
  • In recent trends, there has been an increase in 'Qshing' attacks, a hybrid form of phishing that exploits fake QR (Quick Response) codes impersonating government agencies to steal personal and financial information. Particularly, this attack method is characterized by its stealthiness, as victims can be redirected to phishing pages or led to download malicious software simply by scanning a QR code, making it difficult for them to realize they have been targeted. In this paper, we have developed a classification technique utilizing machine learning algorithms to identify the maliciousness of URLs embedded in QR codes, and we have explored ways to integrate this with existing QR code readers. To this end, we constructed a dataset from 128,587 malicious URLs and 428,102 benign URLs, extracting 35 different features such as protocol and parameters, and used AutoML to identify the optimal algorithm and hyperparameters, achieving an accuracy of approximately 87.37%. Following this, we designed the integration of the trained classification model with existing QR code readers to implement a service capable of countering Qshing attacks. In conclusion, our findings confirm that deriving an optimized algorithm for classifying malicious URLs in QR codes and integrating it with existing QR code readers presents a viable solution to combat Qshing attacks.

Improving Malicious Web Code Classification with Sequence by Machine Learning

  • Paik, Incheon
    • IEIE Transactions on Smart Processing and Computing
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    • v.3 no.5
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    • pp.319-324
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    • 2014
  • Web applications make life more convenient. Many web applications have several kinds of user input (e.g. personal information, a user's comment of commercial goods, etc.) for the activities. On the other hand, there are a range of vulnerabilities in the input functions of Web applications. Malicious actions can be attempted using the free accessibility of many web applications. Attacks by the exploitation of these input vulnerabilities can be achieved by injecting malicious web code; it enables one to perform a variety of illegal actions, such as SQL Injection Attacks (SQLIAs) and Cross Site Scripting (XSS). These actions come down to theft, replacing personal information, or phishing. The existing solutions use a parser for the code, are limited to fixed and very small patterns, and are difficult to adapt to variations. A machine learning method can give leverage to cover a far broader range of malicious web code and is easy to adapt to variations and changes. Therefore, this paper suggests the adaptable classification of malicious web code by machine learning approaches for detecting the exploitation user inputs. The approach usually identifies the "looks-like malicious" code for real malicious code. More detailed classification using sequence information is also introduced. The precision for the "looks-like malicious code" is 99% and for the precise classification with sequence is 90%.

Group Key Management Protocol for Secure Social Network Service (안전한 소셜 네트워크 서비스를 위한 그룹키 관리 프로토콜)

  • Seo, Seung-Hyun;Cho, Tae-Nam
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.3
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    • pp.18-26
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    • 2011
  • Social network services whose users increase rapidly is the online services that reflect social network. They are used for various purposes such as strategy of election, commercial advertisement and marketing, educational information sharing and exchange of medical knowledge and opinions. These services make users form social networks with other users who have common interests and expand their relationships by releasing their personal information and utilizing other users' social networks. However, the social network services based on open and sharing of information raise various security threats such as violation of privacy and phishing. In this paper, we propose a group key management scheme and protocols using key rings to protect communication of small groups in social network services.

XSS Attack and Countermeasure: Survey (XSS 공격과 대응방안)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.327-332
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    • 2013
  • XSS is an attacker on the other party of the browser that is allowed to run the script. It is seized session of the users, or web site modulation, malicious content insertion, and phishing attack which is available. XSS attacks are stored XSS and reflected XSS. In that, two branch attacks. The form of XSS attacks are cookie sniffing, script encryption, bypass, the malignant cord diffusion, Key Logger, Mouse Sniffer, and addition of lie information addition. XSS attacks are target of attack by script language. Therefore, the countermeasure of XSS is presented and proposed to improve web security.