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Application possibilities of digital forensic procedures in vehicle telematics systems

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Technological development has resulted in the possibility of implementing a large number of telematics systems and subsystems within the vehicle. Their purpose is to collect data through a number of sensors on the state of the vehicle as well as its environment. The result of the collected data processing is information that can be used to increase the passengers' safety insi de the vehicle, but also to other participants of traffic network, and to optimize the desired resources such as fuel consumption, travel time etc. The use ofvehicle telematics systems and collected data can be of great importance when an unwanted event occurs in which the vehicle is involved. The aim of this research is to identifyvehicle systems that store data, data types and the possibility of their extraction using a digital forensic framework, for the purpose of timely reaction to the negative event occurrence.
Słowa kluczowe
Rocznik
Tom
Strony
133--144
Opis fizyczny
Bibliogr. 24 poz., rys., tab.
Twórcy
autor
  • University of Zagreb, Faculty of Transport and Traffic Sciences
  • University of Zagreb, Faculty of Transport and Traffic Sciences
autor
  • University of Zagreb, Faculty of Transport and Traffic Sciences
  • University of Zagreb, Faculty of Transport and Traffic Sciences
Bibliografia
  • [1] Horsman G., Conniss L.R.: lnvestigating evidence of mobile phone usage by drivers in road traffic accidents, Digit. lnvestig., vol.12, 2015, p. 30-37.
  • [2] Jacobs D., Choo K.K.R., Kechadi M. T., Le-Khac N. A.: Volkswagen Car Entertaiment System Forensics. IEEE Trustcom/BigDataSE/ICESS, 2017, p. 699-705.
  • [3] Hossa in M., Hasan R., Zawoad S.: Trust-loV: A Trustworthy Forensic lnvestigation Framework for the Internet of Vehicles (loV), in 2017 IEEE International Congress on Internet ofThings (ICIOT), 2017, p. 25-32.
  • [4] Husnjak S., Peraković D., Forenbacher I., Mumdziev M.: Telematics System in Usage Based Motor lnsurance, in 25th DAAAM International Symposium on lntelligent Manufacturing and Automation, DAAAM 2014, 2015, p. 816-825.
  • [5] Akalu R., Paving the way for lntelligent Transport Systems (ITS): The Privacy lmplications of Vehicular lnotainment Platforms, Ontario 2016.
  • [6] Mansor H., Markantonakis K., Akram R. N., Mayes K., I. Gurulian, "Log Your Car: The Noninvasive Vehicle Forensics, in 2016 IEEE Trustcom/BigDataSE/ISPA, 2016, p. 974-982.
  • [7] Navet N., Simonot-Lion F., ln-vehicle communication networks-a historical perspective and review, vol. 96. Boca Ratan, FL, USA: CRC Press, 2013.
  • [8] Lee J.-W., Choi K.-Y., Lee J.-W., Collecting Big Data from Automotive ECUs beyond the CAN Bandwidth for Fault Visualization, Mob. Inf. Syst., vol. 2017, p. 1-13, 2017.
  • [9] Kwasnoski J., Crash Reconstruction Basics for Prosecutors, St. Louis, USA, 2003.
  • [10] Peraković D., et al., Using mobile devices while driving in Croatia - preliminary analysis, in Proceedings of The 5th International Virtual Research Conference in Technical Disciplines (RCITD-2017), 2017, p. 56-61.
  • [11] Karie N. M., Venter H. S., Taxonomy of Challenges for Digital Forensics, J. Forensic Sci., vol. 60, no. 4, p. 885-893, 2015.
  • [12] KoscherK., et al., "Experimental Security Ana lysis of a Modern Automobile," in 2010 IEEE Symposium on Security and Priva cy, 201 O, p. 447-462.
  • [13] Pan L., Zheng X., Chen H. X., Luan T., Bootwala H., Batten L., Cyber security attacks to modern vehicular systems, J. Inf. Secur. Appl., vol. 36, p. 90-100, Oct. 2017.
  • [14] Bortles W., McDonough S., Smith C., Stogsdill M., An lntroduction to the Forensic Acquisition of Passenger Vehicle lnfotainment and Telematics Systems Data, 2017. [Online]. Available: http://papers.sae.org/2017-01-1437 /.
  • [15] Agbonkhese O., Visa G., Agbonkhese E., Akan bi D., Aka E., Mondigha E., Road Traffic Accidents in Nigeria: Causes and Preventive Mea su res., Civ. Environ. Res., vol. 3, no. 13, p. 90-99, 2013.
  • [16] Larson U. E., Phung P. H., Nilsson D. K., Vehicle ECU classification based on safety-security characteristics, IET Road Transp. Inf. Control Conf. ITS United Kingdom Members' Conf. (RTIC 2008), p. 102-102, 2008.
  • [17] llakkiya B., Vanitha V., A survey on engine control unit, Int. J. Adv. Res. In nov. ldeas Educ., vol. 2, no. 3, p. 21-25,2016.
  • [18] Rana N., Sansanwal G., Khatter K., Singh S., Taxonomy of Digital Forensics: lnvestigation Tools and Challenges, Comput. Soc., 2017.
  • [19] Pilli E. S., Joshi R. C., Niyogi R., A Generic Framework for Network Forensics, lnt.J. Comput. Appl., vol. 1, no. 11, pp. 1-6, Feb. 201 O.
  • [20] Carrier B., Spafford E., An event-based digital forensic investigation framework, in Digital forensic research workshop, 2004, p. 1-12.
  • [21] Parate S., Nirkhi M. S. M., A Review of Network Forensics Techniques for the Ana lysis of Web Based Attack, Int. J. Adv. Comput. Res., vol. 2, no. 4, p. 2-7, 2012.
  • [22] Gandomi A., Haider M., Beyond the hype: Big data concepts, methods, and analytics, Int. J. Inf. Manage., vol. 35, no. 2, p. 137-144, 2015.
  • [23] Hauke J., Kossowski T., Comparison of values of pearson's and spearman's correlation coefficients on the same sets of data, Quaest. Geogr., vol. 30, no. 2, p. 87-93, 2011.
  • [24] Onishi H., Wu K., Yoshida K., Kato T., Approaches for vehicle cyber-security in the US, Int. J. Automat. Eng., vol. 8, no. 1, p. 1-6, 2017.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-99e384a5-27b4-4c1a-9c61-f9b63a138a27
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