Social-behavioral Detection System of Malicious Insiders in Industrial Espionage
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In this explorative study, an attempt is made to lay groundwork for a social-behavioral detection system of malicious insiders who have the intent of engaging in industrial espionage. This proposed detection system takes advantage of technologies that allow massive inflow of information of biometric indicators. For synthesizing this detection system, three frameworks are proposed; a procedural framework, a theoretical framework and a methodological framework. As procedural framework, Behavioral Evidence Analysis criminal profiling is proposed, which is able to systematically exclude bias and neglect of idiographic evidence of a case through the rigorous application of the scientific method of continued hypothesis testing of the case against its idiographic evidence. With characteristics of industrial espionage in consideration, the Rational Choice Paradigm is proposed as the theoretical framework, which is a vast interdisciplinary paradigm of multiple theories based on rational choice. As methodological framework, the social network analysis is proposed, which is a form of network analysis, an established data mining method that is already in use in many security projects. These three frameworks are integrated to synthesize a social-behavioral detection system of malicious insiders intended for use in specified workspace used by an organization, such as office buildings. While this study is limited in its scope, lack of empirical research and non-consideration of legal issues, it is meaningful in the sense that this study attempts to lay groundwork for further endeavors in research on industrial espionage for the specific purpose of developing a social-behavioral detection system of malicious insiders.
Abstract
In this explorative study, an attempt is made to lay groundwork for a social-behavioral detection system of malicious insiders who have the intent of engaging in industrial espionage. This proposed detection system takes advantage of technologies that allow massive inflow of information of biometric indicators. For synthesizing this detection system, three frameworks are proposed; a procedural framework, a theoretical framework and a methodological framework. As procedural framework, Behavioral Evidence Analysis criminal profiling is proposed, which is able to systematically exclude bias and neglect of idiographic evidence of a case through the rigorous application of the scientific method of continued hypothesis testing of the case against its idiographic evidence. With characteristics of industrial espionage in consideration, the Rational Choice Paradigm is proposed as the theoretical framework, which is a vast interdisciplinary paradigm of multiple theories based on rational choice. As methodological framework, the social network analysis is proposed, which is a form of network analysis, an established data mining method that is already in use in many security projects. These three frameworks are integrated to synthesize a social-behavioral detection system of malicious insiders intended for use in specified workspace used by an organization, such as office buildings. While this study is limited in its scope, lack of empirical research and non-consideration of legal issues, it is meaningful in the sense that this study attempts to lay groundwork for further endeavors in research on industrial espionage for the specific purpose of developing a social-behavioral detection system of malicious insiders.
참고문헌 (43)
- Mitnick, KD, "The art of deception: controlling the humanelement of security" (2002), Wiley
- National Intelligence Service, "Protection Trends ofState-of-the-Art Industrial Technology" (2009)
- Kim, YB, "Industrial Espionage and IntellectualAssets" (2007), Japmundang
- Manning, PK, "A view of surveillance ,in: Technocrime", pp.209~242 (2008), Willan Publishing
- "Defense Advanced Research Projects Agency.Requestfor Information.DARPA-SN-10-46.Suspected MaliciousInsider Threat Elimination(SMITE)2010"[URL]
- "Model-based IntrusionAssessment in Common Lisp 2009"[URL]
- Petherick, WA, "Forensic Criminology" (2010), Elsevier Academic
- Turvey, BE, "Criminal Profiling, 3rd edition: An Introductionto Behavioral Evidence Analysis" (2008), Elsevier Academic
- Friedrichs, DO, "Trusted Criminals: White Collar Crimein Contemporary Society, 3rd edition" (2007), Thompson Higher Education
- Croall, H, "Understanding white collar crime" (2001), Open University
- Gilboa, I, "Rational Choice" (2010), The MIT Press
- Grabenhorst, F, "Value, pleasure andchoice in the ventral prefrontal cortex", Trends in CognitiveSciences, 15(2), pp.56~67 (2011)
- Rolls, ET, "The brain and emotion" (1999), Oxford University
- Rolls, ET, "Emotion, higher order syntactic thoughts,and consciousness ,in: Frontiers of Conscoiusness" (2008), Oxford University
- Blair, RJR, "The amygdala and ventromedial prefrontalcortex: functional contributions and dysfunction inpsychopathy", Phil. Trans. R. Soc, 363, pp.2557~2565 (2008)
- Gupta, R, "Theamygdale and decision-making. Neuropsychologia" (2010)[DOI]
- Bandfield, JF, "The Cognitive Neuroscience of Self Regulation ,in: Handbook of Self-Regulation: Research, Theory, andApplication", pp.62~83 (2005), The Guildford Press
- Ochsner, KN, "The cognitive control of emotion", Trends in Cognitive Sciences, 9, pp.242~249 (2005)
- Mitchell, JP, "Social psychology as a natural kind", Trendsin Cognitive Sciences, 13(6), pp.246~251 (2009)
- Jamison, J, "Multiple selves in intert emporal choice", Journal of Economic Psychology, 31(5), pp.832~839 (2010)
- Buckner, RL, "Self-projection and the Brain", Trends in Cognitive Sciences, 11(2) (2006)
- Keltner, D, "Facial Expression of Emotion ,in: Hanbook ofEmotions", pp.236~249 (2000), Guilford Publications
- Ekmen, P, "A new pan cultural facialexpression of emotion", Motivation and Emotion, 10(2), pp.159~168 (1986)
- Ekman, P, "Facial Expressions ,in: The Handbook of Cognition andEmotion", pp.301~320 (1999), John Wiley & Sons
- Eibl-Eibesfeldt, I, "The expressive behavior of the deafand-blind born ,in: Social communication and movement" (1973), Academic Press
- Porter, S, "Reading Between the Lies", Psychological Science, 19(5), pp.508~514 (2008)
- Ekman, P, "Lie Catching and Microexpressions ,in: The Philosophy of Deception" (2009), Oxford University
- Warmelink, L, "Thermal Imaging as a Lie DetectionTool at Airports", Law and Human Behavior, 35(1), pp.40~48 (2011)[DOI]
- Panksepp, J, "Affective Neuroscience: The Foundationsof Human and Animal Emotions" (2005), Oxford University
- Wilson, JQ, "Crime and Human Nature ,in:Classics of Criminology" (1985), Waveland Press
- Clarke, RV, "Modeling Offenders’Decisions: A Framework for Research and Policy ,in:Classics of Criminology" (1985), Waveland Press
- Cohen, LE, "Social Change and Crime: ARoutine Activity Approach ,in:Classics of Criminology" (1985), Waveland Press
- Hirschi, T, "A Control Theory of Delinquency ,in:Classics of Criminology" (1969), Waveland Press
- Taipale, K. A, "Data Mining and Domestic Security:Connecting the Dots to Make Sense of Data", Scienceand Technology Law Review, 5, pp.1~83 (2003)
- "U.S. Senate Select Committee on Intelligence & U.S.House Permanent Select Committee on Intelligence.Joint Inquiry into Intelligence Community ActivitiesBefore and After the Terrorist Attacks of September11, 2001"[URL]
- National Research Council, "Protecting Individual Privacyin the Struggle Against Terrorists: A Frameworkfor Program Assessment" (2008), The National Academies
- "Handbook ofSocial Network Analysis"[URL]
- "Introduction to Social Network Methods"[URL]
- Godavarthy, S, "Microexpression spotting in videousing optical strain", 박사, pp.2010
- "Facial Expression Recognition System.Technical Reports"[URL]
- Pollina, DA, "Facial Skin SurfaceTemperature Changes During a “Concealed Information”Test", Annals of Biomedical Engineering, 34(7), pp.1182~1189 (2006)
- Otsuka, K, "Fast and Robust Face Trackingfor Analyzing Multiparty Face-to-Face Meetings", Machine Learning for Multimodal Interaction, 5237, pp.14~25 (2008)
- Wang, S, "A Natural Visible and Infrared FacialExpression Database for Expression Recognition andEmotion Inference", IEEEE Transactions on Multimedia, 12(7), pp.682~691 (2010)