Results 11 to 20 of about 1,644 (170)

Botnet propagation via public websited detection algorithm / Botnet plitimo viešuose interneto tinkluose aptikimo algoritmas

Mokslas: Lietuvos Ateitis, 2011
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

On botnets [PDF]

Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services, 2010
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, Ok-Ran Jeong, Chulyun Kim, Jungmin So   +3 more
  +7 more sources

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
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, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

Review of Botnet Attack Detection in SDN-Enabled IoT Using Machine Learning

Sensors, 2022
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, Friedhelm Schwenker, Taye Girma Debelee, Henock Mulugeta Melaku, Yehualashet Megeresa Ayano   +4 more
doaj   +1 more source

Detecting A Botnet By Reverse Engineering

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013
— 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   +1 more source

A novel hybrid feature selection and ensemble-based machine learning approach for botnet detection

Scientific Reports, 2023
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

A Meta-Classification Model for Optimized ZBot Malware Prediction Using Learning Algorithms

Mathematics, 2023
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, Ashish Ashish, Miroslav Mahdal, Kenneth Ruth Isabels, Jyoti Dhanke, Parita Jain, Muniyandy Elangovan   +6 more
doaj   +1 more source

Botnet Vulnerability Intelligence Clustering Classification Mining and Countermeasure Algorithm Based on Machine Learning

IEEE Access, 2019
Botnet detection, vulnerability mining and confrontation bring many challenges to network security, and become the main dangerous source threatening economic development and causing significant economic losses. To solve these problems, we combine machine
Zenan Chu, Yi Han, Kai Zhao
doaj   +1 more source

Security Hardening of Botnet Detectors Using Generative Adversarial Networks

IEEE Access, 2021
Machine learning (ML) based botnet detectors are no exception to traditional ML models when it comes to adversarial evasion attacks. The datasets used to train these models have also scarcity and imbalance issues. We propose a new technique named Botshot,
Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Husnain Rafiq, Frank Comeau   +4 more
doaj   +1 more source

Hybrid Botnet Detection Based on Host and Network Analysis

Journal of Computer Networks and Communications, 2020
Botnet is one of the most dangerous cyber-security issues. The botnet infects unprotected machines and keeps track of the communication with the command and control server to send and receive malicious commands.
Suzan Almutairi, Saoucene Mahfoudh, Sultan Almutairi, Jalal S. Alowibdi   +3 more
doaj   +1 more source