[HTML][HTML] Detection of attack-targeted scans from the Apache HTTP Server access logs
A web application could be visited for different purposes. It is possible for a web site to be
visited by a regular user as a normal (natural) visit, to be viewed by crawlers, bots, spiders …
visited by a regular user as a normal (natural) visit, to be viewed by crawlers, bots, spiders …
A detailed survey of denial of service for IoT and multimedia systems: Past, present and futuristic development
The rise in frequency and volume of Distributed Denial of Service (DDoS) attacks has made
it a destructive weapon of attackers which can disrupt the services of any network including …
it a destructive weapon of attackers which can disrupt the services of any network including …
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 …
[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 …
Poisoning self-supervised learning based sequential recommendations
Self-supervised learning (SSL) has been recently applied to sequential recommender
systems to provide high-quality user representations. However, while facilitating the learning …
systems to provide high-quality user representations. However, while facilitating the learning …
Exploratory Analysis on Current Application-Layer HTTP-Payload-Based DDoS Attack on Internet of Things (IoT) Devices
The Internet of Things (IoT) Security has newly become a major concern and important
research topic because it directly interacts with human users. Application-layer Distributed …
research topic because it directly interacts with human users. Application-layer Distributed …
[HTML][HTML] Identifying legitimate Web users and bots with different traffic profiles—an Information Bottleneck approach
G Suchacka, J Iwański - Knowledge-Based Systems, 2020 - Elsevier
Recent studies reported that about half of Web users nowadays are intelligent agents (Web
bots). Many bots are impersonators operating at a very high sophistication level, trying to …
bots). Many bots are impersonators operating at a very high sophistication level, trying to …
Detection of advanced web bots by combining web logs with mouse behavioural biometrics
Web bots vary in sophistication based on their purpose, ranging from simple automated
scripts to advanced web bots that have a browser fingerprint, support the main browser …
scripts to advanced web bots that have a browser fingerprint, support the main browser …