Study Report of Tor Antiforensic Techniques

Joshi, Preeti S.; Dinesha, H. A.

doi:10.1007/978-981-99-2742-5_9

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2024

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“…. In [6] the authors take a review of antiforensic techniques provided by the TOR network and a detailed analysis of deanonymizing techniques implemented by researchers.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Forensic Investigation of Onion Sites Based on Fuzzy Encoded LSTM

Dinesha H.A.

2024

jes

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The only way to access onion services is via the TOR browser providing anonymity and privacy to the client as well as the server. Information about these hidden services and the contents available on them cannot be gathered like websites on the surface web. So, they become a fertile ground for illegal content dissemination and hosting for cybercriminals. There is a persistent need to classify and block such content from onion sites. In this paper, we investigate data requested from onion services to help law enforcement agencies collect traces of cybercrime on these hidden services. We propose a system using fuzzy encoded LSTM to analyze contents retrieved from these sites and raise alerts if found illegal. The accuracy of fuzzy-encoded LSTM is found to be 81.04 % and it outperforms other classifiers.

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“…. In [6] the authors take a review of antiforensic techniques provided by the TOR network and a detailed analysis of deanonymizing techniques implemented by researchers.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Forensic Investigation of Onion Sites Based on Fuzzy Encoded LSTM

Dinesha H.A.

2024

jes

View full text Add to dashboard Cite

show abstract

Study Report of Tor Antiforensic Techniques

Cited by 1 publication

References 25 publications

Multidimensional Forensic Investigation of Onion Sites Based on Fuzzy Encoded LSTM

Multidimensional Forensic Investigation of Onion Sites Based on Fuzzy Encoded LSTM

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