A voting ensemble machine learning based credit card fraud detection using highly imbalance data

R Chhabra, S Goswami, RK Ranjan - Multimedia Tools and Applications, 2024 - Springer
Long gone is the time when people preferred using only cash. In recent years, cashless
transactions have gained much popularity, be it using UPI apps or credit and debit cards …

Reviewing various feature selection techniques in machine learning‐based botnet detection

S Baruah, DJ Borah, V Deka - Concurrency and Computation …, 2024 - Wiley Online Library
Machine learning approaches are widely used for the detection and classification of
emerging botnet variations due to their ability to yield more precise results compared to …

ACNN-BOT: An ant colony inspired feature selection approach for ANN based botnet detection

C Joshi, RK Ranjan, V Bharti - Wireless Personal Communications, 2023 - Springer
With the growth and development of Internet and wireless communication, Internet-of-Things
(IoT) has become a prominent technology for smart devices. In general, IoT systems are …

Embracing Business Sustainability Through Innovation and Productivity in the Automotive Sector: Creativity, Collaboration, and Generating Savings

AD Bolton, L Goosen, E Kritzinger - … Business Sustainability Through …, 2023 - igi-global.com
The purpose of the study reported on in this chapter was to explore and attempt to answer
the primary research question: To what extent can embracing business sustainability …

Detekce těžby kryptoměn na základě periodického chování síťové komunikace

C Vojtěch - 2023 - dspace.cvut.cz
Tato bakalářská práce se zabývá detekcí těžby kryptoměn ze síťového provozu. Takový
provoz je zpravidla šifrovaný. Periodické vlastnosti síťové komunikace jsou jako vstup …

[PDF][PDF] A Study On IoT-Botnet Detection Techniques

R Sharma, HS Khyati, C Joshi - researchgate.net
With a rapid growth in the area of communication, it is easy for people to connect with each
other. The accumulation of data is also increased exponentially and it also facilitate many …

[PDF][PDF] Zadání bakalářské práce

V Chvojka, J Koumar - netmon.fit.cvut.cz
Nastudujte problematiku detekce těžby kryptoměn v síti [1] a metodu detekce periodického
chování síťového provozu [2]. Pomocí metody detekce periodického chování vytvořte …

[引用][C] Designing Secure Model to Classify IoT Vulnerabilities Using Binary and Multi Class Deep Neural Network Classification

R SINGHAI, R SUSHIL - International Journal of Computing …, 2024 - University of Bahrain