Results 11 to 20 of about 4,679 (205)
The networks of compromised and remotely controlled computers (bots) are widely used in many Internet fraudulent activities, especially in the distributed denial of service attacks. Brute force gives enormous power to bot masters and makes botnet traffic
Jonas Juknius, Antanas Čenys
doaj +4 more sources
Your botnet is my botnet [PDF]
Botnets, networks of malware-infected machines that are controlled by an adversary, are the root cause of a large number of security problems on the Internet. A particularly sophisticated and insidious type of bot is Torpig, a malware program that is designed to harvest sensitive information (such as bank account and credit card data) from its victims.
Brett Stone-Gross +7 more
core +9 more sources
Detecting A Botnet By Reverse Engineering
— Botnet malware is a malicious program. Botnet that infects computers, called bots, will be controlled by a botmaster to do various things such as: spamming, phishing, keylogging Distributed Denial of Service (DDoS) and other activities that are ...
Oesman Hendra Kelana, Khabib Mustofa
doaj +3 more sources
Los ciberdelincuentes se centran en la actualidad en sus últimas y más avanzadas armas, llamadas botnet, expresamente enfocadas al ánimo de lucro, por medio de acciones ilegales. Convirtiéndose estos hackers oscuros en cómplices o ejecutores de todo tipo de delitos.
Arauzo Almirón, Valentín
core +3 more sources
A botnet is a network of computers on the Internet infected with software robots, bots. There are numerous botnets. Some of them control millions of computers. Botnets have become the platform for the scourge of the Internet, namely, spam e-mails, launch denial of service attacks, click fraud, theft of sensitive information, cyber sabotage, cyber ...
Won Kim 0001 +3 more
+9 more sources
Adaptive secure malware efficient machine learning algorithm for healthcare data
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Botnet Detection Method Based on Graph Reconstruction and Subgraph Mining [PDF]
Aiming at the problem that disguised botnet hosts are difficult to detect, a botnet detection method based on graph reconstruction and subgraph mining (GR-SGM) was proposed. Firstly, network data was converted into graph data which was reconstructed to
JING Yongjun +3 more
doaj +1 more source
Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning
The orchestration of software-defined networks (SDN) and the internet of things (IoT) has revolutionized the computing fields. These include the broad spectrum of connectivity to sensors and electronic appliances beyond standard computing devices ...
Worku Gachena Negera +4 more
doaj +1 more source
A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms
Botnets pose a real threat to cybersecurity by facilitating criminal activities like malware distribution, attacks involving distributed denial of service, fraud, click fraud, phishing, and theft identification.
Shanmugam Jagan +6 more
doaj +1 more source
A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection
In the age of sophisticated cyber threats, botnet detection remains a crucial yet complex security challenge. Existing detection systems are continually outmaneuvered by the relentless advancement of botnet strategies, necessitating a more dynamic and ...
Md. Alamgir Hossain, Md. Saiful Islam
doaj +1 more source

