Extraction in Digital Forensic Investigation based on Video Enhancement and Machine Learning

Ponsam, J. Godwin; Gracia, S.V. Juno Bella; Geetha, G.; Thenmozhi, M.; Nimala, K.

doi:10.1109/iemecon53809.2021.9689110

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…Crime analysts find it difficult, time-consuming, and expensive to determine whether a crime was committed by the same criminal due to the high number of attacks and crimes that take place each year [9]. In order to estimate the potential locations of crime scenes in the future through statistical projections, analytical techniques are applied.…”

Section: Machine Learning 241 Predicting Attacks and Crimesmentioning

confidence: 99%

Enhancements in the world of digital forensics

Vaddi,

Kamble,

Vaingankar

et al. 2024

IJ-AI

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<p>Currently, the rapid advancement of computer systems and mobile phones has resulted in their utilization in unlawful acts. Ensuring adequate and effective security measures poses a difficult task due to the intricate nature of these devices, thereby exacerbating the challenges associated with investigating crimes involving them. Digital forensics, which involves investigating cyber crimes, plays a crucial role in this realm. Extensive research has been conducted in this field to aid forensic investigations in addressing contemporary obstacles. This paper aims to explore the progress made in the applications of digital forensics and security, encompassing various aspects, and provide insights into the evolution of digital forensics over the past five years.</p>

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Section: Machine Learning 241 Predicting Attacks and Crimesmentioning

confidence: 99%

Enhancements in the world of digital forensics

Vaddi,

Kamble,

Vaingankar

et al. 2024

IJ-AI

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“…b) Digital Image Analysis: Digital forensics today is based on the analysis of digital photographs to distinguish between natural and criminal evidence, thereby enhancing diagnostic precision and investigation [18] . c) Video Analysis: Digital video analysis allows tracking movements and individual behavior, thus making criminal activity investigation possible in addition to providing powerful court evidence [19] . d) Medical Data Analysis: Big data analysis methods may be implemented into electronic medical records to analyze diseases and accurately provide deaths and disease numbers [20] .…”

Section: Digital Forensicsmentioning

confidence: 99%

The current landscape of digital forensics employing machine learning approaches: A Review

Talabani

2024

Int. J. Comput. Artif. Intell.

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This paper discusses and evaluates the present state of digital forensics, as well as how machine learning techniques are used in this field. The paper covers technological advances in forensics medicine and how we may gain from the performance of machine learning algorithms to compare their performances for improvement on data collection, analysis and investigation. The focus is on the benefits and challenges that may arise while adopting algorithms: Naive Bayes (NB), K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), Principal Component Analysis (PCA) and Kmeans. Apart from analyzing the latest research and studies in this subject area. Furthermore, tracing new trends in the digital forensics' domain and outline ways that machine learning can be used for better performance.

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