• 한국컴퓨터정보학회논문지
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• 제23권11호
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• pp.75-84
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• 2018

Social engineering attack means to get information of Social engineering attack means to get information of opponent without technical attack or to induce opponent to provide information directly. In particular, social engineering does not approach opponents through technical attacks, so it is difficult to prevent all attacks with high-tech security equipment. Each company plans employee education and social training as a countermeasure to prevent social engineering. However, it is difficult for a security officer to obtain a practical education(training) effect, and it is also difficult to measure it visually. Therefore, to measure the social engineering threat, we use the results of social engineering training result to calculate the risk by system asset and propose a attack graph based probability. The security officer uses the results of social engineering training to analyze the security threats by asset and suggests a framework for quick security response. Through the framework presented in this paper, we measure the qualitative social engineering threats, collect system asset information, and calculate the asset risk to generate probability based attack graphs. As a result, the security officer can graphically monitor the degree of vulnerability of the asset's authority system, asset information and preferences along with social engineering training results. It aims to make it practical for companies to utilize as a key indicator for establishing a systematic security strategy in the enterprise.

• 융합보안논문지
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• 제19권1호
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• pp.103-110
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• 2019

최근의 보안 관련 공격들은 시스템의 취약점을 악용하는 공격보다는 시스템을 운영하는 사람을 목표로 하는 공격들이 다양하게 발생하고 있다. 그러나 현재 사람을 주요 공격 목표로 하는 사회공학 공격들의 위험도를 분석하여 전략적으로 대응하고자 하는 연구는 매우 부족한 현실이다. 본 논문에서는 사회공학 공격의 위험도를 평가하기 위해 공격 경로, 공격 수단, 공격 단계, 공격 도구, 공격 목표 측면에서 사회공학 공격들을 분석한다. 아울러 동일한 공격에 대해 조직의 특성과 환경에 따라 위험도는 다름을 반영하여 사회공학 공격 위험도와 함께 조직의 특성과 환경을 고려한 조직의 위험도를 평가한다. 뿐만 아니라, 일반적인 공격 위험도 평가 방법인 CVSS, CWSS, OWASP Risk Rating Methodology를 분석하여 사회공학 공격에 대한 조직의 위험도 평가 방안을 제안한다. 제안한 방법론은 조직의 환경 변화에 따라 조직에 적절한 사회공학 공격에 대한 조치를 취할 수 있도록 평가 유연성이 있다.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.280-290
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• 2016

In this paper, we propose a layered pattern authentication scheme resistant to social engineering attacks. Existing android pattern lock scheme has some weak points for social engineering attacks. Thus, the proposed scheme improves the existing pattern lock scheme. In our scheme, pattern is recorded by touch screen, however, it is different with existing schemes because of the layered pattern. During the pattern registration process, users register their own pattern with many layers. Thus, registered pattern is 3D shape. When the smudge attack is occurring, the attacker can see the shape of user pattern through the smudge on smartphone screen. However, it is described on 2D surface, so acquired pattern is not fully determine to users original 3D shape. Therefore, our scheme is resistant to social engineering attack, especially smudge attack.

• 디지털산업정보학회논문지
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• 제11권2호
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• pp.23-35
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• 2015

When people stands near someone's mobile device, it can easily be seen by others. To rephrase this, attackers use human psychology to earn personal information or credit information or other. People are exposed by social engineering attacks. It is certain that we need more than just recommendation for the security to avoid social engineering attacks. This is why I proposed this paper. In this paper, I proposed an authentication technique using NFC and Hash function to stand against social engineering attack. Proposed technique result is showing that it could prevent shoulder surfing, touch event information, spyware attack using screen capture and smudge attack which relies on detecting the oily smudges left behind by user's fingers. Besides smart phone, IPad, Galaxy tab, Galaxy note and more mobile devices has released and releasing. And also, these mobile devices usage rate is increasing widely. We need to attend these matters and study in depth.

• Journal of Information Processing Systems
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• 제13권4호
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• pp.1014-1028
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• 2017

Social networking services (SNSs) such as Twitter, MySpace, and Facebook have become progressively significant with its billions of users. Still, alongside this increase is an increase in security threats such as cross-site scripting (XSS) threat. Recently, a few approaches have been proposed to detect an XSS attack on SNSs. Due to the certain recent features of SNSs webpages such as JavaScript and AJAX, however, the existing approaches are not efficient in combating XSS attack on SNSs. In this paper, we propose a machine learning-based approach to detecting XSS attack on SNSs. In our approach, the detection of XSS attack is performed based on three features: URLs, webpage, and SNSs. A dataset is prepared by collecting 1,000 SNSs webpages and extracting the features from these webpages. Ten different machine learning classifiers are used on a prepared dataset to classify webpages into two categories: XSS or non-XSS. To validate the efficiency of the proposed approach, we evaluated and compared it with other existing approaches. The evaluation results show that our approach attains better performance in the SNS environment, recording the highest accuracy of 0.972 and lowest false positive rate of 0.87.

• 융합보안논문지
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• 제12권4호
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• pp.97-108
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• 2012

본 연구는 이메일을 활용한 멀웨어 공격 중 국내 국방 분야 및 방산 분야에 대한 공격 동향을 분석하고, 새로운 공격 유형을 예측하였다. 국방 분야와 방산업계 대상으로 발생하는 멀웨어 배포는 주로 사회공학적으로 수집된 개인정보를 바탕으로, 특정 기능이 포함된 악성코드가 포함된 문서 파일로 배포한다. 배포된 멀웨어는 피해자 사용 단말기의 정보를 습득하려는 의도로 사용된다. 본 연구는 실제 사례들에 대한 분석을 통해 이메일을 활용한 멀웨어 배포 동향을 분석하여, 향후 시도될 것으로 예상되는 멀웨어 배포 유형을 예측했다.

• 융합보안논문지
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• 제23권5호
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• pp.165-172
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• 2023

국가간에 이루어지는 사회공학 공격은 주로 비밀정보, 외교의 협상 또는 미래의 정책 변경에 대해 우위를 확보하기 위해 매우 효율적인 공격이므로 꾸준히 실시되고 있다. 우크라이나-러시아 전쟁이 장기화함에 따라 글로벌 해킹 조직의 활동이 꾸준히 증가하고 있으며, 주요 기반시설 또는 글로벌 기업 대상의 대규모 사이버공격 시도가 지속되므로 이에 대한 대응전략이 필요하다. 이를 위해 다양한 사회공학 공격 모델 중 물리적인 접촉을 배제한 사회공학 사이클이 가장 적합한 모델이라 판단하여 주요 위협국이 선호하는 사회공학 공격 방법을 사례분석을 통해 지정학적 전술과 비교하여 분석하였다. 그 결과 중국은 인해전술과 같은 질보다 양을 선호하는 피싱공격을 러시아는 마치 첩보전을 연상하는 은밀하고 복잡한 스피어 피싱을 선호하며, 북한은 미국과 한국에 대한 공격은 스피어 피싱과 워터링홀로 지정학적 전술을 응용하여 활용하였고 그 외 국가들은 대부분 랜섬웨어로 자금확보를 목표로 하였다. 이에 따라 중국에는 클린패스 정책, 러시아에는 주기적인 의무교육, 북한에는 국제적인 제재 등을 대응전략으로 제시하였다.

• Journal of Communications and Networks
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• 제13권2호
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• pp.102-112
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• 2011

In this paper, we propose a privacy-preserving emergency call scheme, called PEC, enabling patients in life-threatening emergencies to fast and accurately transmit emergency data to the nearby helpers via mobile healthcare social networks (MHSNs). Once an emergency happens, the personal digital assistant (PDA) of the patient runs the PEC to collect the emergency data including emergency location, patient health record, as well as patient physiological condition. The PEC then generates an emergency call with the emergency data inside and epidemically disseminates it to every user in the patient's neighborhood. If a physician happens to be nearby, the PEC ensures the time used to notify the physician of the emergency is the shortest. We show via theoretical analysis that the PEC is able to provide fine-grained access control on the emergency data, where the access policy is set by patients themselves. Moreover, the PEC can withstandmultiple types of attacks, such as identity theft attack, forgery attack, and collusion attack. We also devise an effective revocation mechanism to make the revocable PEC (rPEC) resistant to inside attacks. In addition, we demonstrate via simulation that the PEC can significantly reduce the response time of emergency care in MHSNs.

• International Journal of Computer Science & Network Security
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• 제21권12호
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• pp.213-218
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• 2021

This paper proposes a technique for detecting a significant threat that attempts to get sensitive and confidential information such as usernames, passwords, credit card information, and more to target an individual or organization. By definition, a phishing attack happens when malicious people pose as trusted entities to fraudulently obtain user data. Phishing is classified as a type of social engineering attack. For a phishing attack to happen, a victim must be convinced to open an email or a direct message [1]. The email or direct message will contain a link that the victim will be required to click on. The aim of the attack is usually to install malicious software or to freeze a system. In other instances, the attackers will threaten to reveal sensitive information obtained from the victim. Phishing attacks can have devastating effects on the victim. Sensitive and confidential information can find its way into the hands of malicious people. Another devastating effect of phishing attacks is identity theft [1]. Attackers may impersonate the victim to make unauthorized purchases. Victims also complain of loss of funds when attackers access their credit card information. The proposed method has two major subsystems: (1) Data collection: different websites have been collected as a big data corresponding to normal and phishing dataset, and (2) distributed detection system: different artificial algorithms are used: a neural network algorithm and machine learning. The Amazon cloud was used for running the cluster with different cores of machines. The experiment results of the proposed system achieved very good accuracy and detection rate as well.

• 융합보안논문지
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• 제6권4호
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• pp.171-177
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• 2006

최근의 해킹 공격 양상은 급격히 변화하고 있으며 사회공학적 기법을 이용한 피싱 공격은 정보 사회를 위협하고 있다. 사회공학적 기법을 이용한 피싱 공격은 기술적으로 취약한 시스템을 해킹하는 것 이외에도 사용자를 기만하여 개인 및 기업의 내부 정보 및 중요 정보를 획득하는 수단이 되고 있다. 따라서 본 연구에서는 사회공학적 기법을 이용한 피싱 공격에 대해 국내외의 사례 분석 및 통계 분석을 통하여 향후 위협의 방향성을 찾고, 이에 대응하는 기술들을 분석하여 국내 실정에 맞는 모델을 제시하고자 한다. 이를 통해 향후 미래에 발생할 사회공학적 기법을 이용한 해킹 공격으로부터 개인 및 기업을 보호할 수 있으리라 판단된다.