• Title/Summary/Keyword: Social engineering

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Performance analysis of information propagation in DTN-like scale-free mobile social network

  • Wang, Zhifei;Deng, Su;Huang, Hongbin;Wu, Yahui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3984-3996
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    • 2014
  • Mobile social network can be seen as a specific application of the DTN (Delay Tolerant Network), in which the information propagation can be impacted by many social behaviors of the nodes. For a specific node, its social behaviors are various. For example, the node may not be interested in the information before receiving it and may also discard the information after getting it. On the other hand, people are more willing to forward the message to his friends. These interactive behaviors between nodes can be seen as social behaviors. It is easy to see that the impact of the social behaviors is related to the social ties, which can be manifested by the structure of the social network. State of the art works often simply assumes that the social networks can be divided into some communities. At present, some works find that the structure of some social networks is scale-free. To overcome this problem, this paper proposes a theoretical model to evaluate the impact of above social behaviors in the DTN-like scale-free network. Simulation shows the accuracy of the model. Numerical results show that both social behaviors and scale-free character have significant impact on information propagation. Moreover, the impact of social behaviors is related to the scale-free character of the networks.

Study of Social Network Site Interactivity to Identify and Avert Usability Flaws for Effective User's Experience

  • Abduljalil, Sami;Hwang, Gi-Hyun;Kang, Dae-Ki
    • Journal of information and communication convergence engineering
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    • v.9 no.3
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    • pp.325-330
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    • 2011
  • Due to the wide growth and popularity of social network website, large numbers of users discover these social network sites are a place where they can be able to spend their leisure time sharing interests, sharing ideas freely, sharing personal experience, and also to search for new friends or partners. These websites give an opportunity for its users to socialize with new people and to keep in touch or reconnect with current or old friends and families across disperse continents, which traditionally replace the common traditional methods. These social network websites need accurate and careful investigations and findings on the usability issues for effective interactivity and more usability. However, little research might have previously invested on the usability of these social network websites. Therefore, we propose a new framework to study and test the usability of these social network sites. We namely call our framework "Interactivity". This framework will enable developers to assess the usability of the social network sites. It will provide an overview of the user's behavior while interacting in these social network websites. Performance of the framework will be performed using Camtasia software. This software will entirely capture the interactivity of users including the screen and the movements, which the screen and the motion of the user action will undergo to analysis at the end of our research.

Social Capital, Social Engineering, and the Technopolis

  • Phillips, Fred Young
    • World Technopolis Review
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    • v.1 no.2
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    • pp.86-91
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    • 2012
  • The paper briefly presents the social and cultural context of technopolis development. It offers a catalog of the social considerations a technopolis designer must attend to. Technopolis planners may use this list for preliminary assessment and benchmarking of their region against others, and to reach a realistic view of the challenges facing a new technopolis project.

A Study on the Analysis of the Vision Achievement and Social Status of the ABEEK (한국공학교육인증원의 2020 비전 달성도 및 사회적 위상 분석)

  • Han, Jiyoung
    • Journal of Engineering Education Research
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    • v.27 no.2
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    • pp.3-12
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    • 2024
  • The purpose of this study was to evaluate how well the 2020 vision presented by the Accreditation Board for Engineering Education of Korea(ABEEK) had been achieved, and to objectively examine the social status. It was very necessary for the development of engineering education in Korea to provide room for improvement by diagnosing how well the ABEEK, one of the major engineering education communities, was achieving its own vision. In order to achieve the objectives of the study, research methods such as literature review, survey research, and expert advisory committee were used. To evaluate the level of achievement of the Vision 2020 of the ABEEK, the analysis was based on the response results of 61 people who had experience as a member of the steering committe. In addition, the vision and mission of the 23 countries that are currently signatory members of the Washington Accord were surveyed, and the social responsibility and financial independence of the 20 countries that joined the signatory member countries before 2020 were compared with each other. As a result of the analysis, the item of securing international equivalence in engineering education received the most positive evaluation, and the social compensation efforts for accreditied graduates received the least evaluation. The ABEEK was evaluated as having a medium level of social responsibility and a low level of financial independence. Based on the results of this research, we proposed ways the ABEEK to contribute to the improvement of Korean engineering education.

Unsupervised Scheme for Reverse Social Engineering Detection in Online Social Networks (온라인 소셜 네트워크에서 역 사회공학 탐지를 위한 비지도학습 기법)

  • Oh, Hayoung
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.3
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    • pp.129-134
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    • 2015
  • Since automatic social engineering based spam attacks induce for users to click or receive the short message service (SMS), e-mail, site address and make a relationship with an unknown friend, it is very easy for them to active in online social networks. The previous spam detection schemes only apply manual filtering of the system managers or labeling classifications regardless of the features of social networks. In this paper, we propose the spam detection metric after reflecting on a couple of features of social networks followed by analysis of real social network data set, Twitter spam. In addition, we provide the online social networks based unsupervised scheme for automated social engineering spam with self organizing map (SOM). Through the performance evaluation, we show the detection accuracy up to 90% and the possibility of real time training for the spam detection without the manager.

Analysis on the Convergence for Knowledge Fusion in the Field of the Engineering, Science, Aesthetics, Humanities and Social Sciences (공학·과학·미학·인문학 및 사회과학 분야간 지식융합을 위한 수렴영역 분석)

  • Park, Sung-Mi
    • Journal of Fisheries and Marine Sciences Education
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    • v.25 no.5
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    • pp.1031-1045
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    • 2013
  • The purpose of this study was to analyze on the convergence for knowledge fusion in the filed of the engineering, science, aesthetics, humanities and social sciences. For the study, the related literatures were reviewed focusing on the convergence in the basis of the inter-disciplinary. In addition, interviews with 5 professors in the field of the engineering, science, aesthetics, humanities and social sciences were analyzed. The keys of analysis were perspective of academic disciplines. The findings of this study were as follows; most of professors recognized the inter-disciplinary of engineering, science, aesthetics, humanities and social sciences. But, there were some barriers engineering of professors in inter-disciplinary.

Applying Hebbian Theory to Enhance Search Performance in Unstructured Social-Like Peer-to-Peer Networks

  • Huang, Chester S.J.;Yang, Stephen J.H.;Su, Addison Y.S.
    • ETRI Journal
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    • v.34 no.4
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    • pp.591-601
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    • 2012
  • Unstructured peer-to-peer (p2p) networks usually employ flooding search algorithms to locate resources. However, these algorithms often require a large storage overhead or generate massive network traffic. To address this issue, previous researchers explored the possibility of building efficient p2p networks by clustering peers into communities based on their social relationships, creating social-like p2p networks. This study proposes a social relationship p2p network that uses a measure based on Hebbian theory to create a social relation weight. The contribution of the study is twofold. First, using the social relation weight, the query peer stores and searches for the appropriate response peers in social-like p2p networks. Second, this study designs a novel knowledge index mechanism that dynamically adapts social relationship p2p networks. The results show that the proposed social relationship p2p network improves search performance significantly, compared with existing approaches.

A Study on the Concept of Social Engineering Cyber Kill Chain for Social Engineering based Cyber Operations (사회공학 사이버작전을 고려한 사회공학 사이버킬체인 개념정립 연구)

  • Shin, Kyuyong;Kim, Kyoung Min;Lee, Jongkwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.5
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    • pp.1247-1258
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    • 2018
  • The Cyber Kill Chain originally proposed by Lockheed Martin defines the standard procedure of general cyber attacks and suggests tailored defensive actions per each step, eventually neutralizing the intent of the attackers. Defenders can effectively deal with Advanced Persistent Threat(APT)s which are difficult to be handled by other defensive mechanisms under the Cyber Kill Chain. Recently, however, social engineering techniques that exploits the vulnerabilities of humans who manage the target systems are prevail rather than the technical attacks directly attacking the target systems themselves. Under the circumstance, the Cyber Kill Chain model should evolve to encompass social engineering attacks for the improved effectiveness. Therefore, this paper aims to establish a definite concept of Cyber Kill Chain for social engineering based cyber attacks, called Social Engineering Cyber Kill Chain, helping future researchers in this literature.

The relationship among self-efficacy, engineering interest and social support on adjustment to college and learning persistence in first year engineering college students (공과대학 신입생의 자기효능감, 공학흥미, 사회적지지, 대학생활적응 및 학업지속의향 간의 관계)

  • Lee, Myunghwa;Lee, Jeongmin
    • Journal of Engineering Education Research
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    • v.21 no.6
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    • pp.13-24
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    • 2018
  • The purpose of this research is to investigate the relationship among self-efficacy, engineering interest and social support on adjustment to college and learning persistence in first year engineering college students. The participants were 74 freshman of engineering college students, SPSS and SmartPLS were used to analyze the data. The key findings revealed were as follows: First, self-efficacy, engineering interest and social support had a significant influence on adjustment to college. Second, engineering interest and adjustment to college had a significant influence on learning persistence. This research suggested the implications for adjustment to college and learning persistence in engineering education.

Exploration on Interpersonal Problems, Emotional Clarity, and Empathic Ability in Engineering Students (공과대학생의 대인관계문제, 정서인식명확성, 공감능력 탐색)

  • Choi, Jung Ah
    • Journal of Engineering Education Research
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    • v.22 no.6
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    • pp.64-73
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    • 2019
  • The purpose of this study is to explore characteristics of engineering students' Interpersonal Problems, Emotional Clarity, and Empathic Ability compared with humanities and social sciences students. A total of 739 college students participated in the study (459 enginerring students and 280 humanities and social sciences students). We tested research question by employing the t-test. The result showed that engineering students have higher level of clarity of feelings, perspective taking, empathic concern and lower level of attention to feelings, personal distress than humanities and social sciences students. Moreover, engineering students showed lower level of cold, socially avoidant, exploitable problems than humanities and social sciences students. We dicussed that programs aiming at developing engineering students' emotional awareness and improving their interpersonal relationships should be provided.