Workload characterization: A survey revisited

MC Calzarossa, L Massari, D Tessera - ACM Computing Surveys (CSUR …, 2016 - dl.acm.org
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 …

[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 …

A closer look at intrusion detection system for web applications

N Agarwal, SZ Hussain - Security and Communication …, 2018 - Wiley Online Library
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 …

[HTML][HTML] Efficient on-the-fly Web bot detection

G Suchacka, A Cabri, S Rovetta, F Masulli - Knowledge-Based Systems, 2021 - Elsevier
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 …

Fp-crawlers: studying the resilience of browser fingerprinting to block crawlers

A Vastel, W Rudametkin, R Rouvoy… - MADWeb'20-NDSS …, 2020 - inria.hal.science
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 …

[HTML][HTML] Bot recognition in a Web store: An approach based on unsupervised learning

S Rovetta, G Suchacka, F Masulli - Journal of Network and Computer …, 2020 - Elsevier
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 …

Detection of malicious and non-malicious website visitors using unsupervised neural network learning

D Stevanovic, N Vlajic, A An - Applied Soft Computing, 2013 - Elsevier
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 …

Using association rules to assess purchase probability in online stores

G Suchacka, G Chodak - Information Systems and e-Business …, 2017 - Springer
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 …

Adversarial web search

C Castillo, BD Davison - Foundations and trends® in …, 2011 - nowpublishers.com
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 …

Reinforcement learning based web crawler detection for diversity and dynamics

Y Gao, Z Feng, X Wang, M Song, X Wang, X Wang… - Neurocomputing, 2023 - Elsevier
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 …