[HTML][HTML] Hybrid model for bot group activity detection using similarity and correlation approaches based on network traffic flows analysis
DP Hostiadi, T Ahmad - Journal of King Saud University-Computer and …, 2022 - Elsevier
In this cyber era, botnets have been a serious threat to computer network security in that they
can infect computers connected to a network through malicious applications known as …
can infect computers connected to a network through malicious applications known as …
[PDF][PDF] Analysis of Botnet Attack Communication Pattern Behavior on Computer Networks.
Botnets are a severe threat to a computer network, affecting various aspects of security
systems, including spreading malicious programs, phishing, sending spam messages, and …
systems, including spreading malicious programs, phishing, sending spam messages, and …
BotGRABBER: SVM-based self-adaptive system for the network resilience against the botnets' cyberattacks
S Lysenko, K Bobrovnikova, O Savenko… - … Conference, CN 2019 …, 2019 - Springer
The paper presents a SVM-based self-adaptive system for the network resilience against the
botnets cyberattacks named BotGRABBER. It is a novel framework, which combines the …
botnets cyberattacks named BotGRABBER. It is a novel framework, which combines the …
B-corr model for bot group activity detection based on network flows traffic analysis
Botnet is a type of dangerous malware. Botnet attack with a collection of bots attacking a
similar target and activity pattern is called bot group activities. The detection of bot group …
similar target and activity pattern is called bot group activities. The detection of bot group …
[HTML][HTML] Botnet sequential activity detection with hybrid analysis
Botnet is one type of malware that infects devices to carry out illegal activities controlled by a
botmaster. Many previous studies detected botnets as a single activity while botnet activities …
botmaster. Many previous studies detected botnets as a single activity while botnet activities …
Sliding time analysis in traffic segmentation for botnet activity detection
DP Hostiadi, T Ahmad - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Botnets are a threat in a dangerous cyber era. Botnets involve malicious software to attack
the system based on instructions from the botmaster. Previous research had introduced a …
the system based on instructions from the botmaster. Previous research had introduced a …
A new approach of botnet activity detection model based on time periodic analysis
DP Hostiadi, T Ahmad… - … Conference on Computer …, 2020 - ieeexplore.ieee.org
Botnet is a serious and dangerous threat in a computer system. Bot infect a new computer to
form bot network and produce an activity track record. Several previous studies have …
form bot network and produce an activity track record. Several previous studies have …
Botnet Attack Analysis through Graph Visualization.
Botnet attacks on computer networks require proper handling because they can have
dangerous consequences. Botnets are dynamic and able to evolve quickly. A botnet can …
dangerous consequences. Botnets are dynamic and able to evolve quickly. A botnet can …
Analyzing The Effect of Network Traffic Segmentation on The Accuracy of Botnet Activity Detection
Botnet is known as a dangerous threat in computer networks. Malicious activities from bots
include phishing, sending spam messages, click misrepresentation, spreading malicious …
include phishing, sending spam messages, click misrepresentation, spreading malicious …
[PDF][PDF] Botnet detection approach based on the distributed systems
O Savenko, A Sachenko, S Lysenko… - International …, 2020 - pdfs.semanticscholar.org
The paper presents a botnet detection approach for the distributed systems. It is based on
the developed three level model, which includes botnet's components: command and …
the developed three level model, which includes botnet's components: command and …