Workload characterization: A survey revisited
Workload characterization is a well-established discipline that plays a key role in many
performance engineering studies. The large-scale social behavior inherent in the …
performance engineering studies. The large-scale social behavior inherent in the …
[BOOK][B] Bayesian artificial intelligence
KB Korb, AE Nicholson - 2010 - books.google.com
The second edition of this bestseller provides a practical and accessible introduction to the
main concepts, foundation, and applications of Bayesian networks. This edition contains a …
main concepts, foundation, and applications of Bayesian networks. This edition contains a …
A closer look at intrusion detection system for web applications
Intrusion Detection System (IDS) acts as a defensive tool to detect the security attacks on the
web. IDS is a known methodology for detecting network‐based attacks but is still immature …
web. IDS is a known methodology for detecting network‐based attacks but is still immature …
[HTML][HTML] Efficient on-the-fly Web bot detection
A large fraction of traffic on present-day Web servers is generated by bots—intelligent
agents able to traverse the Web and execute various advanced tasks. Since bots' activity …
agents able to traverse the Web and execute various advanced tasks. Since bots' activity …
Fp-crawlers: studying the resilience of browser fingerprinting to block crawlers
Data available on the Web, such as financial data or public reviews, provides a competitive
advantage to companies able to exploit them. Web crawlers, a category of bot, aim at …
advantage to companies able to exploit them. Web crawlers, a category of bot, aim at …
[HTML][HTML] Bot recognition in a Web store: An approach based on unsupervised learning
Web traffic on e-business sites is increasingly dominated by artificial agents (Web bots)
which pose a threat to the website security, privacy, and performance. To develop efficient …
which pose a threat to the website security, privacy, and performance. To develop efficient …
Detection of malicious and non-malicious website visitors using unsupervised neural network learning
Distributed denials of service (DDoS) attacks are recognized as one of the most damaging
attacks on the Internet security today. Recently, malicious web crawlers have been used to …
attacks on the Internet security today. Recently, malicious web crawlers have been used to …
Using association rules to assess purchase probability in online stores
The paper addresses the problem of e-customer behavior characterization based on Web
server log data. We describe user sessions with the number of session features and aim to …
server log data. We describe user sessions with the number of session features and aim to …
Adversarial web search
Web search engines have become indispensable tools for finding content. As the popularity
of the Web has increased, the efforts to exploit the Web for commercial, social, or political …
of the Web has increased, the efforts to exploit the Web for commercial, social, or political …
Reinforcement learning based web crawler detection for diversity and dynamics
Crawler detection is always an important research topic in network security. With the
development of web technology, crawlers are constantly updating and changing, and their …
development of web technology, crawlers are constantly updating and changing, and their …