A semantic-enhanced trajectory visual analytics for digital forensic

Journal article

Liao, Z.-F., Li, Y., Peng, Y., Zhao, Y., Zhou, F.-F., Liao, Z.-N., Dudley, S. and Ghavami, M. (2015). A semantic-enhanced trajectory visual analytics for digital forensic. Journal of Visualization. 18 (2), pp. 173 - 184. https://doi.org/10.1007/s12650-015-0276-z
AuthorsLiao, Z.-F., Li, Y., Peng, Y., Zhao, Y., Zhou, F.-F., Liao, Z.-N., Dudley, S. and Ghavami, M.
Abstract

With the increasing application of GPS devices, trajectory data have been frequently adopted in digital forensics because it can encompass spatial and temporal aspects of suspects’ movements. However, a lack of semantic information causes difficulty of linking the trajectories with the activities of suspects. Using the situation of a kidnapping, this paper proposes a semantic-enhanced method in trajectory analysis, which categorizes the daily activities of suspects into different semantic types by connecting trajectory data with transaction data. In the meantime, we present an interactive visualization system with four inner-linked views to provide a collaborative visual analytics of trajectory and transaction data in multiple perspectives. In the case study, the kidnapping investigation is used to demonstrate how the system works on the routine pattern analysis of suspects, the detection of abnormal behaviors, and the association exploration among suspects and their abnormal behaviors.

Year2015
JournalJournal of Visualization
Journal citation18 (2), pp. 173 - 184
PublisherSpringer
ISSN1343-8875
Digital Object Identifier (DOI)https://doi.org/10.1007/s12650-015-0276-z
Web address (URL)http://www.scopus.com/inward/record.url?eid=2-s2.0-84939943380&partnerID=MN8TOARS
Publication dates
Print14 Mar 2015
2015
Publication process dates
Deposited25 Jan 2017
Accepted14 Mar 2015
Accepted author manuscript
License
File Access Level
Open
ISBN18758975 13438875
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Awodeyi, AE, Alty, SR and Ghavami, M (2014). Median based method for baseline wander removal in photoplethysmogram signals. Bioinformatics and Bioengineering (BIBE), 2014 IEEE International Conference on. Florida, USA. 10 - 12 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 311 - 314 https://doi.org/10.1109/BIBE.2014.77
Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
A new approach for event detection using k-means clustering and neural networks.
Oladimeji, MO, Turkey, M, Ghavami, M and Dudley, S (2015). A new approach for event detection using k-means clustering and neural networks. 2015 International Joint Conference on Neural Networks (IJCNN). Killarney Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 5 https://doi.org/10.1109/IJCNN.2015.7280752
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Brown, R., Ghavami, N., Siddiqui, H., Adjrad, M., Ghavami, M. and Dudley-Mcevoy, S. (2017). Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles. Energy and Buildings. 141, pp. 134-141. https://doi.org/10.1016/j.enbuild.2017.02.004
Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets
Ghavami, M and Shams Dilmaghani, R (2017). Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets. International Conference on Mathematical Finance, Statistics and Economics. Vienna, Austria 21 - 22 Jun 2017
A Spatially Processed 3D Wideband Adaptive Conical Array System
Ghavami, M (2017). A Spatially Processed 3D Wideband Adaptive Conical Array System. IEEE International Conference on Ubiquitous Wireless Broadband ICUWB’2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE).
UWB Localization Employing Supervised Learning Method
Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
UWB power propagation for bio-medical implanted devices
Ghafari, M, Brennan, P and Ghavami, M (2015). UWB power propagation for bio-medical implanted devices. 17th International Conference on E-health Networking, Application & Services (HealthCom). Boston, MA, USA 14 - 17 Oct 2015 London South Bank University. pp. 483 - 487 https://doi.org/10.1109/HealthCom.2015.7454551
Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Improving time–frequency domain sleep EEG classification via singular spectrum analysis
Mahvash Mohammadi, S., Kouchaki, S., Ghavami, M. and Sanei, S. (2016). Improving time–frequency domain sleep EEG classification via singular spectrum analysis. Journal of Neuroscience Methods. 273, pp. 96-106. https://doi.org/10.1016/j.jneumeth.2016.08.008
Classification of awake, REM, and NREM from EEG via singular spectrum analysis
Mohammadi, SM, Enshaeifar, S, Ghavami, M and Sanei, S (2015). Classification of awake, REM, and NREM from EEG via singular spectrum analysis. International Conference of the IEEE Engineering in Medicine and Biology Society. Milan, Italy 25 - 29 Aug 2015 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/EMBC.2015.7319460
Automatic trust calculation for service-oriented systems
Ye, B., Nekovee, M., Pervez, A. and Ghavami, M. (2014). Automatic trust calculation for service-oriented systems. IET Software. 8 (3), pp. 134 - 142. https://doi.org/10.1049/iet-sen.2013.0056
Ultra-wideband-based multilateration technique for indoor localisation
Onalaja, O., Adjrad, M. and Ghavami, M. (2014). Ultra-wideband-based multilateration technique for indoor localisation. IET COMMUNICATIONS. 8 (10), pp. 1800 - 1809. https://doi.org/10.1049/iet-com.2013.0815
Study of human being detection in an indoor environment using ultra wideband radar
Hassan Khausru, MA and Ghavami, M (2014). Study of human being detection in an indoor environment using ultra wideband radar. IEEE International Conference on Ultra-Wideband 2014. Paris, France Institute of Electrical and Electronics Engineers (IEEE). pp. 113 - 118 https://doi.org/10.1109/ICUWB.2014.6958961
Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment
Uchida, S., Sato, A., Inamori, M., Sanada, Y. and Ghavami, M. (2014). Signal Detection Performance of Overlapped FFT Scheme with Additional Frames Consisting of Non-continuous Samples in Indoor Environment. Wireless Personal Communications. 79 (2), pp. 987 - 1002. https://doi.org/10.1007/s11277-014-1899-4
A user-centric system architecture for residential energy consumption reduction
Vastardis, N, Adjrad, M, Buchanan, K, Liao, Z, Koch, C, Russo, R, Yang, K, Ghavami, M, Anderson, B and Dudley, S (2014). A user-centric system architecture for residential energy consumption reduction. IEEE Online Conference on Green Communications. Online 12 - 14 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-7 https://doi.org/10.1109/OnlineGreenCom.2014.7114423