Results 111 to 120 of about 4,679 (205)

Detecting botnet traffic using machine learning

, 2017
Over the past few years, many cybersecurity incidents were reported worldwide through distributed denial of service attacks. Many of these attacks were conducted through botnet, which usually consists of a group of infected computers, smartphones or IoT ...
Vardhamane, Pallavi
core  

Protect Android based system from Botnet

, 2016
With the rapid development of mobile Internet today, smart mobile phone has become an important tool for people to communicate and acquiring the outside information.
Ma, Jizhou
core  

Graph metadata dataset from grouped botnet network activities. [PDF]

Data Brief
Putra MAR, Ahmad T, Ijtihadie RM, Hostiadi DP.   +3 more
europepmc   +1 more source

Minimum Vertex Cut with Reachable Set (MVCRS) Problem for Suppressing Botnet Propagation in IoT Networks: Complexity and Algorithms. [PDF]

Sensors (Basel)
Yamaguchi S.
europepmc   +1 more source

Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach. [PDF]

Sensors (Basel)
Özmen G, Yiltas-Kaplan D.
europepmc   +1 more source

Advancing Machine Learning Strategies for Power Consumption-Based IoT Botnet Detection. [PDF]

Sensors (Basel)
Wakili AA, Guni S, Khan SA, Yu W, Jung W.   +4 more
europepmc   +1 more source

A Survey of Emerging DDoS Threats in New Power Systems. [PDF]

Sensors (Basel)
Luo F, Fan S, Shao G.
europepmc   +1 more source

Correction: Okey et al. BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning. <i>Sensors</i> 2022, <i>22</i>, 7409. [PDF]

Sensors (Basel)
Okey OD, Maidin SS, Adasme P, Rosa RL, Saadi M, Carrillo Melgarejo D, Zegarra Rodríguez D.   +6 more
europepmc   +1 more source

FORT-IDS: a federated, optimized, robust and trustworthy intrusion detection system for IIoT security. [PDF]

Sci Rep
Mazroa AA.
europepmc   +1 more source

Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches. [PDF]

Sci Rep
Ranpara R, Patel SK, Kumar OP, Al-Zahrani FA.   +3 more
europepmc   +1 more source