[HTML][HTML] Sok: An evaluation of the secure end user experience on the dark net through systematic literature review
The World Wide Web (www) consists of the surface web, deep web, and Dark Web,
depending on the content shared and the access to these network layers. Dark Web consists …
depending on the content shared and the access to these network layers. Dark Web consists …
Ai-powered fraud detection in decentralized finance: A project life cycle perspective
In recent years, blockchain technology has introduced decentralized finance (DeFi) as an
alternative to traditional financial systems. DeFi aims to create a transparent and efficient …
alternative to traditional financial systems. DeFi aims to create a transparent and efficient …
[HTML][HTML] Drug abuse ontology to harness web-based data for substance use epidemiology research: ontology development study
Background Web-based resources and social media platforms play an increasingly
important role in health-related knowledge and experience sharing. There is a growing …
important role in health-related knowledge and experience sharing. There is a growing …
[HTML][HTML] Detecting substance use disorder using social media data and the dark web: time-and knowledge-aware study
Background Opioid and substance misuse has become a widespread problem in the United
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …
Forensic investigation of the dark web on the Tor network: pathway toward the surface web
P Jin, N Kim, S Lee, D Jeong - International Journal of Information Security, 2024 - Springer
Abstract The Dark Web is notorious for being a huge marketplace that promotes illegal
products such as indecent images of children, drug, private data, and stolen financial data …
products such as indecent images of children, drug, private data, and stolen financial data …
Identification of Chinese dark jargons in Telegram underground markets using context-oriented and linguistic features
When cybercriminals communicate with their customers in underground markets, they tend
to use secure and customizable instant messaging (IM) software, ie Telegram. It is a popular …
to use secure and customizable instant messaging (IM) software, ie Telegram. It is a popular …
Knowledge-infused deep learning
Deep Learning has shown remarkable success during the last decade for essential tasks in
computer vision and natural language processing. Yet, challenges remain in the …
computer vision and natural language processing. Yet, challenges remain in the …
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting
Probabilistic time-series forecasting enables reliable decision making across many
domains. Most forecasting problems have diverse sources of data containing multiple …
domains. Most forecasting problems have diverse sources of data containing multiple …
dstyle-gan: Generative adversarial network based on writing and photography styles for drug identification in darknet markets
Despite the persistent effort by law enforcement, illicit drug trafficking in darknet markets has
shown great resilience with new markets rapidly appearing after old ones being shut down …
shown great resilience with new markets rapidly appearing after old ones being shut down …
[HTML][HTML] “When they say weed causes depression, but it's your fav antidepressant”: knowledge-aware attention framework for relationship extraction
With the increasing legalization of medical and recreational use of cannabis, more research
is needed to understand the association between depression and consumer behavior …
is needed to understand the association between depression and consumer behavior …