Semi-supervised cyber threat identification in dark net markets: A transductive and deep learning approach

M Ebrahimi, JF Nunamaker Jr… - Journal of Management …, 2020 - Taylor & Francis
ABSTRACT Dark Net Marketplaces (DNMs), online selling platforms on the dark web,
constitute a major component of the underground economy. Due to the anonymity and …

Cross-lingual cybersecurity analytics in the international dark web with adversarial deep representation learning

M Ebrahimi, Y Chai, S Samtani, H Chen - MIS quarterly, 2022 - par.nsf.gov
International dark web platforms operating within multiple geopolitical regions and
languages host a myriad of hacker assets such as malware, hacking tools, hacking tutorials …

Latent feature reconstruction for unsupervised anomaly detection

J Lin, Y He, W Xu, J Guan, J Zhang, S Zhou - Applied Intelligence, 2023 - Springer
Anomalies (or outliers) indicate a minority of data items that are quite different from the
majority (inliers) of a dataset in a certain aspect. Unsupervised anomaly detection (UAD) is …

[PDF][PDF] Increasing the efficacy of investigations of online child sexual exploitation

BN Levine - University of Massachusetts Amherst, 2022 - read-me.org
Nothing in history has transformed the character and practice of child sexual exploitation
more than the internet. Individuals who commit child sex crimes use internet services, social …

Efficient anomaly detection via matrix sketching

V Sharan, P Gopalan, U Wieder - Advances in neural …, 2018 - proceedings.neurips.cc
We consider the problem of finding anomalies in high-dimensional data using popular PCA
based anomaly scores. The naive algorithms for computing these scores explicitly compute …

The Dark Web and Human Trafficking

JK Graham - 2023 - digitalcommons.liberty.edu
This is a quantitative-comparative analysis that focuses on Artificial Intelligence (AI)
platforms that assist law enforcement agencies as they combat human trafficking. Human …

Computational criminology: at-scale quantitative analysis of the evolution of cybercrime forums

J Hughes - 2024 - repository.cam.ac.uk
Cybercrime forums and marketplaces are used by members to share hacking techniques,
general community-building discussions, and trade hacking tools. While there is a large …

[图书][B] New Problems and Perspectives on Learning with Limited Memory

V Sharan - 2020 - search.proquest.com
This thesis explores various new questions around the role of memory in learning. These
questions are motivated by the scale of modern machine learning models and datasets …

The Stealth Cyberspace: An Investigative Study of the Impact of the Deep and Dark Web on Cybersecurity Behaviors and Practices in Two Mexican Institutions of …

E Valdes - 2022 - search.proquest.com
The aim of this study is to understand the Tor browser and its multiple applications as related
to cybersecurity. The study also argues that most internet users are not aware of the danger …

Human Trafficking and Machine Learning: A Data Pipeline from Law Agencies to Research Groups

N Hites - 2022 - scholar.smu.edu
Human trafficking is a form of modern-day slavery that, while highly illegal, is more
dangerous with the advancements of modern technology (such as the Internet), which …