Are you a cyborg, bot or human?—a survey on detecting fake news spreaders
One of the major components of Societal Digitalization is Online social networks (OSNs).
OSNs can expose people to different popular trends in various aspects of life and alter …
OSNs can expose people to different popular trends in various aspects of life and alter …
[HTML][HTML] A genomic rule-based KNN model for fast flux botnet detection
Abstract Fast Flux Botnet (FFB) is an advance method developed by cyber criminals to
perpetrate distributed malicious attacks. The major problems of existing FFB detection …
perpetrate distributed malicious attacks. The major problems of existing FFB detection …
Fast-flux hunter: a system for filtering online fast-flux botnet
A Almomani - Neural Computing and Applications, 2018 - Springer
Fast-flux networks is a domain name system (DNS) technique used by botnets, which is
hiding some attack like phishing and malware delivery sites behind associate dynamical …
hiding some attack like phishing and malware delivery sites behind associate dynamical …
A survey on fast-flux attacks
S Zhou - Information Security Journal: A Global Perspective, 2015 - Taylor & Francis
ABSTRACT “Fast-flux” refers to rapidly assigning different IP addresses to the same domain
name. Although there are some legitimate uses for this technique, recently it has become a …
name. Although there are some legitimate uses for this technique, recently it has become a …
Detecting domain‐flux botnet based on DNS traffic features in managed network
DT Truong, G Cheng - Security and Communication Networks, 2016 - Wiley Online Library
Modern botnets such as Zeus and Conficker commonly utilize a technique called domain
fluxing or a domain generation algorithm to generate a large number of pseudo‐random …
fluxing or a domain generation algorithm to generate a large number of pseudo‐random …
A survey of fast flux botnet detection with fast flux cloud computing
A botnet refers to a set of compromised machines controlled distantly by an attacker. Botnets
are considered the basis of numerous security threats around the world. Command and …
are considered the basis of numerous security threats around the world. Command and …
Insider attack: Internal cyber attack detection using machine learning
PV Suresh, ML Madhavu - 2021 12th International conference …, 2021 - ieeexplore.ieee.org
A Cyber Attack is a sudden attempt launched by cybercriminals against multiple computers
or networks. According to evolution of cyber space, insider attack is the most serious attack …
or networks. According to evolution of cyber space, insider attack is the most serious attack …
Detection of suspicious domains through graph inference algorithm processing of host-domain contacts
(57) ABSTRACT A processing device comprises a processor coupled to a memory and is
configured to obtain data relating to communications initiated by host devices of a computer …
configured to obtain data relating to communications initiated by host devices of a computer …
Fast flux service network detection via data mining on passive DNS traffic
In the last decade, the use of fast flux technique has become established as a common
practice to organise botnets in Fast Flux Service Networks (FFSNs), which are platforms able …
practice to organise botnets in Fast Flux Service Networks (FFSNs), which are platforms able …
A machine learning based approach to detect malicious fast flux networks
SAP Kumar, B Xu - 2018 IEEE Symposium Series on …, 2018 - ieeexplore.ieee.org
The fast flux domain or network is defined as the rapid and repeated changes to host or
domain name server resource records, which result in rapid changes in the Internet Protocol …
domain name server resource records, which result in rapid changes in the Internet Protocol …