A Log Correlation Model to Support the Evidence Search Process in a Forensic Investigation

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.

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A Study on Problems of Behaviour-based User Attribution in Computer Forensic Investigation

Proceedings of the 19th European Conference on Cyber Warfare ◽

10.34190/ews.20.117 ◽

2020 ◽

Keyword(s):

Forensic Investigation ◽

Computer Forensic

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A Robust Blind Image Forensic-Detection Method based on Fuzzy Technique

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.c4742.098319 ◽

2019 ◽

Vol 8 (3) ◽

pp. 5926-5929

Keyword(s):

Research Direction ◽

Geometric Transformation ◽

Detection Accuracy ◽

Forensic Investigation ◽

Image Forensic ◽

Fuzzy Logic Approach ◽

Logic Approach ◽

Tampered Image ◽

New Research ◽

Blind Image

Blind forensic-investigation in a digital image is a new research direction in image security. It aims to discover the altered image content without any embedded security scheme. Block and key point based methods are the two dispensation options in blind image forensic investigation. Both the techniques exhibit the best performance to reveal the tampered image. The success of these methods is limited due to computational complexity and detection accuracy against various image distortions and geometric transformation operations. This article introduces different blind image tampering methods and introduces a robust image forensic investigation method to determine the copy-move tampered image by means of fuzzy logic approach. Empirical outcomes facilitate that the projected scheme effectively classifies copy-move type of forensic images as well as blurred tampered image. Overall detection accuracy of this method is high over the existing methods.

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