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Blacklist (computing)

Known as: Black list (computing), Blacklist (disambiguation), Blocklist 
In computing, a blacklist or block list is a basic access control mechanism that allows through all elements (email addresses, users, passwords, URLs… 
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Related topics

Related topics

43 relations
Access controlActive DirectoryBogofilterCache invalidation

Broader (1)

Computer security

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Peek Inside the Closed World: Evaluating Autoencoder-Based Detection of DDoS to Cloud
Machine-learning-based anomaly detection (ML-based AD) has been successful at detecting DDoS events in the lab. However published… 
2015
2015
Booters (black)list
Distributed Denial of Service (DDoS) attacks are a continuously growing threat of the present Internet. Without proper protection… 
Review
2013
Review
2013
Survey of Filtering System For OSN ( Online Social Networks )
  • Miss.
  • 2013
  • Corpus ID: 11712050
In recent years, Online Social Networks (OSNs) have become an important part of daily life. Users build explicit networks to… 
2012
2012
Spam Detection Using Artificial Neural Networks (Perceptron Learning Rule)
Spam is email sent in bulk where there is no direct agreement in place between the recipient and the sender to receive email… 
2012
2012
Internet bad neighborhoods aggregation
Internet Bad Neighborhoods have proven to be an innovative approach for fighting spam. They have also helped to understand how… 
2011
2011
Collaborative cyberporn filtering with collective intelligence
This paper presents a user intent method to generate blacklists for collaborative cyberporn filtering. A novel porn detection… 
2010
2010
Functional enhancements of cooperative session control for “Minimum Core” architecture
This paper proposes functional enhancements of cooperative session control for “Minimum Core” architecture. In past work, the… 
2009
2009
Attribute-Based Prevention of Phishing Attacks
This paper describes a set of innovative attribute based checks for defending against phishing attacks. We explain a number of… 
Review
2009
Review
2009
Sentiment Analysis of Movie
This paper presents an empirical study of efficacy of machine learning techniques in classifying text messages by semantic… 
2009
2009
Inferring Spammers in the Network Core
Despite a large amount of effort devoted in the past years trying to limit unsolicited mail, spam is still a major global concern… 
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