Results 1 to 10 of about 958 (168)

Diffusion of White-Hat Botnet Using Lifespan with Controllable Ripple Effect for Malware Removal in IoT Networks [PDF]

open access: yesSensors, 2023
Self-propagating malware has been infecting thousands of IoT devices and causing security breaches worldwide. Mitigating and cleaning self-propagating malware is important but challenging because they propagate unpredictably.
Mohd Anuaruddin Bin Ahmadon   +1 more
doaj   +2 more sources

A Survey on Botnets, Issues, Threats, Methods, Detection and Prevention

open access: yesJournal of Cybersecurity and Privacy, 2022
Botnets have become increasingly common and progressively dangerous to both business and domestic networks alike. Due to the Covid-19 pandemic, a large quantity of the population has been performing corporate activities from their homes.
Javad Zarrin, Shahrzad M Pour
exaly   +3 more sources

Botnet Defense System: Observability, Controllability, and Basic Command and Control Strategy [PDF]

open access: yesSensors, 2022
This paper deals with the observability, controllability, and command and control strategy in the Botnet Defense System (BDS) that disinfects malicious botnets with white-hat botnets. The BDS defends an IoT system built over the Internet. The Internet is
Shingo Yamaguchi
doaj   +2 more sources

Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

open access: yesFuture Internet, 2019
Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and ...
Georgios Spathoulas   +2 more
exaly   +3 more sources

GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things [PDF]

open access: yesSensors
The rapid development of the Internet of Things (IoT) has brought many conveniences to our daily life. However, it has also introduced various security risks that need to be addressed. The proliferation of IoT botnets is one of these risks.
Ruidong Chen   +5 more
doaj   +2 more sources

A Botnets Circumspection: The Current Threat Landscape, and What We Know So Far

open access: yesInformation (Switzerland), 2019
Botnets have carved a niche in contemporary networking and cybersecurity due to the impact of their operations. The botnet threat continues to evolve and adapt to countermeasures as the security landscape continues to shift.
Oludele Awodele, Emmanuel C Ogu
exaly   +3 more sources

Examination of Traditional Botnet Detection on IoT-Based Bots [PDF]

open access: yesSensors
A botnet is a collection of Internet-connected computers that have been suborned and are controlled externally for malicious purposes. Concomitant with the growth of the Internet of Things (IoT), botnets have been expanding to use IoT devices as their ...
Ashley Woodiss-Field   +2 more
doaj   +2 more sources

On botnets [PDF]

open access: yesProceedings 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   +3 more
  +7 more sources

Review on Development of Social Botnets [PDF]

open access: yesJisuanji gongcheng, 2022
With the development of social platforms, social media networks have gradually become an ideal platforms for attackers to infiltrate Botnets.Social botnets utilize the high flexibility, degree of automation, and popularity of social platforms to create ...
GE Xin, ZOU Futai, GUO Wanda, TAN Yue, LI Linsen
doaj   +1 more source

IoT Network Cybersecurity Assessment With the Associated Random Neural Network

open access: yesIEEE Access, 2023
This paper proposes a method to assess the security of an $n$ device, or IP address, IoT network by simultaneously identifying all the compromised IoT devices and IP addresses. It uses a specific Random Neural Network (RNN) architecture composed of two
Erol Gelenbe, Mert Nakip
doaj   +1 more source

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