Academic literature on the topic 'Forensic detection'

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Journal articles on the topic "Forensic detection"

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Iacono, William G. "Forensic “Lie Detection”." Journal of Forensic Psychology Practice 1, no. 1 (2001): 75–86. http://dx.doi.org/10.1300/j158v01n01_05.

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Suttipasit, Papanu. "Forensic Spermatozoa Detection." American Journal of Forensic Medicine and Pathology 40, no. 4 (2019): 304–11. http://dx.doi.org/10.1097/paf.0000000000000517.

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O. A., Leonenko, Yesypenko O. H., and Rakhilchuk І.V. "Modern legal and organizational principles for the development of judicial examination in crime investigation." Scientific Herald of Sivershchyna. Series: Law 2020, no. 2 (2020): 93–101. http://dx.doi.org/10.32755/sjlaw.2020.02.093.

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The scientific article is devoted to the problems of using forensic examinations and their results in the pre-trial investigation. Perspective directions of development of criminology according to its components are defined. The current state of develop-ment of forensic technology, tools and cybernetics in general, which is successfully used in forensics makes it possible to use retinal schemes to register criminals. It is noted that the development of forensic technologies involves the develop-ment of information retrieval programs, such as Automated Workplaces (AWP) for pre-trial investigati
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Liodorova, Julija, Irina Voronova, and Ruta Shneidere. "ADVANCED FORENSIC METHODS TO DETECT FRAUD." Criminalistics and Forensics, no. 66 (2021): 66–73. http://dx.doi.org/10.33994/kndise.2021.66.06.

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The aim of the article is to study forensic accounting methods to detect fraud in financial statements. A taxonomy of forensic analytics methods is proposed and a generalization of seven mathematical models for detecting fraud recommended by forensic accounting experts and practitioners is provided, allowing for the detection of fraudulent financial statements before it is too late. The authors’ qualitative analysis of evaluating fraud detection models is based on data from semi-structured interviews conducted in the focus group of forensic accountants, investigators, and prosecutors.
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Narang*, Deepak, Reena Kulshreshtra, Fatima Khan, et al. "Microbes in forensic medicine: a microbiologist perspective." International Journal of Bioassays 5, no. 10 (2016): 4913. http://dx.doi.org/10.21746/ijbio.2016.10.004.

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Microbial forensics is a naïve branch that involves multi-disciplinary approach to detection, tracing and evidencing the bio crime, with a predominant microbiological approach by studying evidence from inadvertent microorganism or its toxins released in bioterrorism act, biocrime, or for attribution purposes using advanced molecular techniques. Methods for identification and attribution of potential microbial weapons is challenging and forensic microbiological investigations involves crime scene investigation, chain of custody practices, evidence collection, handling and preservation, evidence
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Laijie, Lu, Yang Gaobo, and Xia Ming. "Anti-Forensics for Unsharp Masking Sharpening in Digital Images." International Journal of Digital Crime and Forensics 5, no. 3 (2013): 53–65. http://dx.doi.org/10.4018/jdcf.2013070104.

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As a retouching tool, image sharpening can be applied as the final step to hide those possible forgery operations in an image. Unsharp masking (USM) is a popular sharpening method supported by most image editing software such as Adobe Photoshop. Several passive forensics methods have been presented for the detection of USM Sharpening. In this paper, an anti-forensic scheme for USM Sharpening is proposed to invalidate the existing forensic algorithms. It removes the overshoot artifacts in image edges and abrupt change in histogram ends. The effectiveness of the proposed method is proved by the
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Kitpipit, Thitika, Nathinee Panvisavas, and Nuntavan Bunyapraphatsara. "Forensic detection of marijuana trace." Forensic Science International: Genetics Supplement Series 1, no. 1 (2008): 600–602. http://dx.doi.org/10.1016/j.fsigss.2007.11.013.

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Bond, John W. "A strategy for the forensic detection of distraction burglary." International Journal of Police Science & Management 18, no. 4 (2016): 251–60. http://dx.doi.org/10.1177/1461355716667526.

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Although much reduced in recent years, distraction burglary involving elderly or vulnerable victims continues to make up ∼ 4% of recorded UK domestic burglaries. Detection of these offences by forensic means, such as DNA or fingerprints, can be problematic due to the forensic awareness of the offender and a lack of recall by the victim. In this study, we consider a range of measures designed to improve the forensic detection of distraction burglary using trace DNA or fingerprints. Our findings show that attendance at a distraction burglary by two crime scene investigators, one of whom conducte
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Qureshi, Sirajuddin, Jianqiang Li, Faheem Akhtar, Saima Tunio, Zahid Hussain Khand, and Ahsan Wajahat. "Analysis of Challenges in Modern Network Forensic Framework." Security and Communication Networks 2021 (August 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/8871230.

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Network forensics can be an expansion associated with network security design which typically emphasizes avoidance and detection of community assaults. It covers the necessity for dedicated investigative abilities. When you look at the design, this indeed currently allows investigating harmful behavior in communities. It will help organizations to examine external and community this is undoubtedly around. It is also important for police force investigations. Network forensic techniques can be used to identify the source of the intrusion and the intruder’s location. Forensics can resolve many c
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Kerniakevych-Tanasiichuk, Yuliia V., Viktor S. Sezonov, Iryna M. Nychytailo, Maryna A. Savchuk, and Iryna V. Tsareva. "Problems of forensic identification of handwriting in forensic examination." Journal of the National Academy of Legal Sciences of Ukraine 28, no. 1 (2021): 195–204. http://dx.doi.org/10.37635/jnalsu.28(1).2021.195-204.

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The handwritten signature as a characteristic of authentication has been legally and publicly recognised for centuries and has been used in the forensic field for many decades to identify an author. Approaches to biometric user authentication developed in recent years are also based in part on handwriting characteristics, such as automatic signature verification. This article systematically identifies handwriting features published in forensics and analyses which of these properties can be adapted as biometrics to verify the user. A user verification procedure based on a set of 14 forensic cha
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Dissertations / Theses on the topic "Forensic detection"

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Yau, Kin-pong Harry. "The role of accountants in fraud detection." Click to view the E-thesis via HKUTO, 2000. http://sunzi.lib.hku.hk/hkuto/record/B42575552.

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Feng, X. "Forensic detection of re-quantization and re-sampling." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1346449/.

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This thesis investigates the forensic detection of re-quantization and re-sampling that often occurs when multimedia content has been tampered with. The detection is based on statistical classification techniques, including Fisher linear discriminant (FLD) and support vector machine (SVM). Successively compressing an image with different quality factors is a typical example of uniform re-quantization. In the first part of the thesis, we investigate the forensic detection of uniform re-quantization for images. Three features are introduced based on the observation that uniform re-quantization (
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Jones, Justin. "Parts-based detection of AK-47s for forensic video analysis." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5200.

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Approved for public release; distribution is unlimited<br>Law enforcement, military personnel, and forensic analysts are increasingly reliant on imaging ystems to perform in a hostile environment and require a robust method to efficiently locate bjects of interest in videos and still images. Current approaches require a full-time operator to monitor a surveillance video or to sift a hard drive for suspicious content. In this thesis, we demonstrate the effectiveness of automated analysis tools to detect AK-47s in images. By training on a large corpus of labeled data, we created Viola-Jones clas
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Cooper, Alan John. "Detection of copies of digital audio recordings for forensic purposes." Thesis, Open University, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.430588.

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Takaichi, Kenichi. "Nail analysis in forensic toxicology for the detection of drug misuse." Thesis, University of Glasgow, 2004. http://theses.gla.ac.uk/3533/.

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This thesis examines the use of nail as an alternative biological specimen in forensic toxicology. Nail is a difficult analytical matrix from which to extract drugs because of its tough physical composition, based on keratin. The initial part of the project investigated the use of a cryogenic grinding method for fingernail clippings. Grinding at liquid nitrogen temperatures was found to be an effective procedure and the conditions were optimised to a two or three cycle programme of freezing and grinding. Small particle sizes were obtained of approximate size 1µm. It was established that drugs
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Smith, Jamie P. "Forensic electrochemistry : developing electrochemical sensors for the detection of illicit compounds." Thesis, Manchester Metropolitan University, 2015. http://e-space.mmu.ac.uk/618071/.

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The following thesis reports the development of novel electrochemical protocols to further expand the niche research area of Forensic Electrochemistry. 0 introduces the key fundamental concepts within electrochemistry detailing why it is a significant analytical tool. Also described within this chapter are prior examples of electrochemistry used within in a forensic environment to further justify the use of such techniques in this work setting a solid foundation for the development of electrochemical sensors for previously un-detected (electrochemically) materials. Chapter 2 focuses on the gro
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Efiong, Eme Joel. "An exploration of forensic accounting education and practice for fraud prevention and detection in Nigeria." Thesis, De Montfort University, 2013. http://hdl.handle.net/2086/10118.

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Whereas the problem of fraud is a global one, the rate and extent to which it is perpetrated in Nigeria, particularly in the public sector, is quite high and alarming. Literature reveals that different fraud prevention and detection mechanisms are being adopted to combat the menace of fraud; forensic accounting techniques appears to be the most effective and are currently used in most developed countries of the world. However, the extent to which forensic accounting techniques are being applied in fraud prevention and detection in Nigeria is not known. Also, the intention to use forensic accou
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Al-Ahmadi, Tareq Mohammed. "A comparison of derivatisation procedures for the detection of multiple analytes in systematic forensic toxicology." Connect to e-thesis, 2007. http://theses.gla.ac.uk/948/.

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Thesis (Ph.D.) - University of Glasgow, 2007.<br>Ph.D. thesis submitted to the Department of Forensic Medicine and Science, University of Glasgow, 2007. Includes bibliographical references. Print version also available.
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Dick, Henry C. "The detection of forensic and archaeological burials using geophysics and soil analysis." Thesis, Keele University, 2017. http://eprints.keele.ac.uk/4361/.

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Graveyards and cemeteries around the world are increasingly being designated as full. There is growing requirements to identify burial space or to exhume and re-inter if necessary. Near-surface geophysical methods offer a potentially non-invasive target detection solution, with additional soil sampling analysis to provide ground truth information; however there has been lack of research to identify optimal detection methods. This study has collected multi-frequency (225 MHz – 900 MHz) ground penetrating radar, electrical resistivity, electromagnetic induction and magnetic susceptibility surfac
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Garner, Jeffrey Lee. "Forensic Detection for Earnings Management in Selected Code Law Nations of Europe." Thesis, Walden University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10932861.

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<p> This study investigated earnings management in European firms. The private investors became victims of manipulated earnings where few laws offered regulatory oversight. The study forensically examined the attributes of earnings management identified using a discretionary accrual model published in Jones&rsquo; work and Schippers&rsquo; work. The firms&rsquo; managers should fulfil agency theory when they made reporting decisions, and they should act in the investors&rsquo; best interests to fulfil stewardship theory. The managers failed as they seemed to favor insiders when they reported m
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Books on the topic "Forensic detection"

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Bender, Lionel. Forensic detection. Gloucester Press, 1990.

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Evans, Colin. The Casebook of Forensic Detection. Penguin Group USA, Inc., 2008.

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Curry, A. S. Poison detection in human organs. 4th ed. Thomas, 1988.

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Yinon, Jehuda. Forensic and environmental detection of explosives. John Wiley, 1999.

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F, Fischer John, ed. Crime science: Methods of forensic detection. University Press of Kentucky, 1999.

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Colin, Wilson. Clues!: A history of forensic detection. Warner Books, 1991.

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Oxlade, Chris. Crime detection. Rigby Interactive Library, 1997.

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Dennany, Lynn, ed. Challenges in Detection Approaches for Forensic Science. Royal Society of Chemistry, 2021. http://dx.doi.org/10.1039/9781839160912.

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Lane, Brian. Crime & detection. DK Pub., 2005.

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Crime & detection. DK Pub., 2005.

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Book chapters on the topic "Forensic detection"

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Johnson, Peter, and Stephanie Schuckers. "Fingerprint Spoofing and Liveness Detection." In Forensic Science. Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693535.ch16.

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van der Heide, Susan, and David A. Russell. "Detection of Cocaine on Paper Currency." In Forensic Science. Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693535.ch13.

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La Tona, Giuseppe, Maria Chiara Terranova, Federica Vernuccio, et al. "Lie Detection: fMRI." In Radiology in Forensic Medicine. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-96737-0_18.

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Wang, Joseph, and Aoife M. O'Mahony. "Electrochemical Detection of Gunshot Residue for Forensic Analysis." In Forensic Science. Wiley-VCH Verlag GmbH & Co. KGaA, 2016. http://dx.doi.org/10.1002/9783527693535.ch6.

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Frick, Amanda A., Patrick Fritz, and Simon W. Lewis. "Chemical methods for the detection of latent fingermarks." In Forensic Chemistry. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118897768.ch9.

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Özkul, Fatma Ulucan, and Ayşe Pamukçu. "Fraud Detection and Forensic Accounting." In Emerging Fraud. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-20826-3_2.

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Fletcher, Jacqueline, Francisco M. Ochoa Corona, and Mark Payton. "Plant Disease Diagnostics for Forensic Applications." In Detection and Diagnostics of Plant Pathogens. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9020-8_7.

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Ellingsgaard, John, and Christoph Busch. "Altered Fingerprint Detection." In Handbook of Biometrics for Forensic Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50673-9_5.

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Riederer, Josef. "The Detection of Art Forgeries with Scientific Methods." In Forensic Science Progress. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-69400-4_5.

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Obst, J. "Du detection by an automated direct agglutination method that equals detection by indirect antiglobulin test." In Advances in Forensic Haemogenetics. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77324-2_103.

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Conference papers on the topic "Forensic detection"

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Steinebach, Martin, Sascha Zmudzinski, and Dirk Petrautzki. "Forensic audio watermark detection." In IS&T/SPIE Electronic Imaging, edited by Nasir D. Memon, Adnan M. Alattar, and Edward J. Delp III. SPIE, 2012. http://dx.doi.org/10.1117/12.907869.

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Hickman, D. "Forensic image comparison techniques." In IEE International Symposium on Imaging for Crime Detection and Prevention (ICDP 2005). IEE, 2005. http://dx.doi.org/10.1049/ic:20050078.

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Oxlee, G. J. "Training forensic imagery analysts." In IEE International Symposium on Imaging for Crime Detection and Prevention (ICDP 2005). IEE, 2005. http://dx.doi.org/10.1049/ic:20050083.

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Powar, Varsha, Amruta Kulkami, Renuka Lokare, and Aishwarya Lonkar. "Skin detection for forensic investigation." In 2013 International Conference on Computer Communication and Informatics (ICCCI). IEEE, 2013. http://dx.doi.org/10.1109/iccci.2013.6466122.

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Goldenstein, S., and A. Rocha. "High-profile forensic analysis of images." In 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009). IET, 2009. http://dx.doi.org/10.1049/ic.2009.0246.

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Keglevic, M., S. Wilhelm, and R. Sablatnig. "impress: A Forensic Footwear Impression Dataset." In 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.1175.

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Greening, C. M. "Handwriting identification using global and local features for forensic purposes." In European Convention on Security and Detection. IEE, 1995. http://dx.doi.org/10.1049/cp:19950511.

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Greveler, Ulrich, Benjamin Justus, and Dennis Loehr. "Forensic content detection through power consumption." In ICC 2012 - 2012 IEEE International Conference on Communications. IEEE, 2012. http://dx.doi.org/10.1109/icc.2012.6364822.

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Guri, Mordehai, Gabi Kedma, Tom Sela, Buky Carmeli, Amit Rosner, and Yuval Elovici. "Noninvasive detection of anti-forensic malware." In 2013 8th International Conference on Malicious and Unwanted Software: "The Americas" (MALWARE). IEEE, 2013. http://dx.doi.org/10.1109/malware.2013.6703679.

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Rhee, Kang Hyeon. "Forensic Detection of JPEG Compressed Image." In 2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2018. http://dx.doi.org/10.1109/csci46756.2018.00100.

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Reports on the topic "Forensic detection"

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Narayanaswamy, Bharathan, and Seema Bharathan. The Rapid Forensic Evaluation of Microbes in Biodefense Research Program Will Develop a Rapid Screening and Detection System for Multiple Bio-Threat (BT) Agents for the Department of Defense. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada584008.

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Rundberg, Robert S. Nuclear Forensics and Radiochemistry: Radiation Detection. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1408824.

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Chen, Yan. Intrusion Detection and Forensics for Self-Defending Wireless Networks. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada568040.

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Harrison, Richard Karl, Jeffrey B. Martin, Dora K. Wiemann, Junoh Choi, and Stephen W. Howell. New radiological material detection technologies for nuclear forensics: Remote optical imaging and graphene-based sensors. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1214453.

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Barefield, James E., and Elizabeth Judge. Optical Spectroscopy Capabilities:Application to Nuclear Forensics, Nuclear Detection, Nuclear Safeguards, Oil Industry, Material Identification and Analysis, and Sustainable Agricultural Nutrient Analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1120716.

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