KS-DDoS: Kafka streams-based classification approach for DDoS attacks

NV Patil, CR Krishna, K Kumar - The Journal of Supercomputing, 2022 - Springer
A distributed denial of service (DDoS) attack is the most destructive threat for internet-based
systems and their resources. It stops the execution of victims by transferring large numbers …

SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks

NV Patil, CR Krishna, K Kumar - Cluster Computing, 2022 - Springer
Distributed denial of service (DDoS) is an immense threat for Internet based-applications
and their resources. It immediately floods the victim system by transmitting a large number of …

K‐DDoS‐SDN: A distributed DDoS attacks detection approach for protecting SDN environment

A Kaur, CR Krishna, NV Patil - Concurrency and Computation …, 2024 - Wiley Online Library
Software‐defined networking (SDN) is an advanced networking paradigm that decouples
forwarding control logic from the data plane. Therefore, it provides a loosely‐coupled …

SS-DDoS:: spark-based DDoS attacks classification approach

NV Patil, CR Krishna, K Kumar - Security and Resilience of Cyber …, 2022 - taylorfrancis.com
A Distributed Denial of Service (DDoS) attack is a critical threat to web-based systems and
overwhelms systems by transferring a large number of attack packets. Several classification …

SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks

P Shukla, CR Krishna, NV Patil - Cluster Computing, 2024 - Springer
In the world of connected devices, there is huge growth of less secure Internet of Things
(IoT) devices, and the ease of performing sophisticated cyberattacks using these devices …

S-DDoS: Apache spark based real-time DDoS detection system

NV Patil, C Rama Krishna… - Journal of Intelligent & …, 2020 - content.iospress.com
Abstract A Distributed Denial of Service (DDoS) attack is the biggest threat to Internet-based
applications and consumes victim service by sending a massive amount of attack traffic. In …

A feature selection-based method for DDoS attack flow classification

L Zhou, Y Zhu, T Zong, Y Xiang - Future Generation Computer Systems, 2022 - Elsevier
Abstract Distributed Denial of Service (DDoS) attacks still be a great threat to the availability
of online servers. To defend against attacks, the challenge is not only detecting DDoS …

K-Means clustering-based semi-supervised for DDoS attacks classification

MN Jasim, MT Gaata - Bulletin of Electrical Engineering and Informatics, 2022 - beei.org
Network attacks of the distributed denial of service (DDoS) form are used to disrupt server
replies and services. It is popular because it is easy to set up and challenging to detect. We …

Ddos detection system: utilizing gradient boosting algorithm and apache spark

A Alsirhani, S Sampalli… - 2018 IEEE Canadian …, 2018 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) is one of the major threats to the Internet security.
Various DDoS attacks have been reported against many organizations in recent years …

An effective classification of DDoS attacks in a distributed network by adopting hierarchical machine learning and hyperparameters optimization techniques

S Dasari, R Kaluri - IEEE Access, 2024 - ieeexplore.ieee.org
Data privacy is essential in the financial sector to protect client's sensitive information,
prevent financial fraud, ensure regulatory compliance, and safeguard intellectual property. It …