New-flow based DDoS attacks in SDN: Taxonomy, rationales, and research challenges

MP Singh, A Bhandari - Computer Communications, 2020 - Elsevier
Software-defined Networking (SDN) is an emerging technology that revolves around the
fundamental notion of setting up a network with a decoupled control plane and data plane. It …

Botnets unveiled: A comprehensive survey on evolving threats and defense strategies

M Asadi, MAJ Jamali, A Heidari… - Transactions on …, 2024 - Wiley Online Library
Botnets have emerged as a significant internet security threat, comprising networks of
compromised computers under the control of command and control (C&C) servers. These …

Android botnet detection using machine learning models based on a comprehensive static analysis approach

J Alqatawna, AZ Ala'M, MA Hassonah, H Faris - Journal of Information …, 2021 - Elsevier
Today, Android stands out amongst the most well-known and far reaching smartphones'
operating systems. It has millions of applications that are distributed at either accredited or …

A systematic overview of the machine learning methods for mobile malware detection

Y Kim, JJ Lee, MH Go, HY Kang… - Security and …, 2022 - Wiley Online Library
With the deployment of the 5G cellular system, the upsurge of diverse mobile applications
and devices has increased the potential challenges and threats posed to users. Industry and …

[PDF][PDF] A review and Case Study on android malware: Threat model, attacks, techniques and tools

C Negi, P Mishra, P Chaudhary… - Journal of Cyber …, 2021 - journals.riverpublishers.com
As android devices have increased in number in the past few years, the android operating
system has started dominating the smartphone market. The vast spread of android across all …

[PDF][PDF] Double DQN Method For Botnet Traffic Detection System.

Y Hu, Y Zhao, Y Feng, X Ma - Computers, Materials & Continua, 2024 - cdn.techscience.cn
In the face of the increasingly severe Botnet problem on the Internet, how to effectively detect
Botnet traffic in realtime has become a critical problem. Although the existing deep Q …

A systematic literature review on the mobile malware detection methods

Y Kim, JJ Lee, MH Go, HY Kang, K Lee - International Symposium on …, 2021 - Springer
With the advent of the 5G network, the number of mobile users has drastically increased.
Consequently, the users are much more susceptible to cyber-attacks such as mobile …

OneR-DQN: a botnet traffic detection model based on deep Q network algorithm in deep reinforcement learning

Y Hu, Y Zhao, Y Feng, X Ma - International Journal of …, 2024 - inderscienceonline.com
With the continuous progress of network technology, the rapid growth of botnets poses a
significant challenge to network security. A universal detection model needs to be improved …

[HTML][HTML] 2 Android–The Background

C Negi, P Mishra, P Chaudhary, H Vardhan - journals.riverpublishers.com
Before beginning the analysis of Android apps for identifying whether it is a malware or not,
reader should be able to understand the Android architecture and an Android app's …

Enhancing the Communication of SDN Security with 802.1 X Control Classifier Hilltop (ECSCOCH)

T Fathima, SM Vennila - 2021 7th International Conference on …, 2021 - ieeexplore.ieee.org
In the previous paper an approach devised with Inasu for Multiple Server Authentication
RFC control in SAA protocol rules shows that Layer digital exchange can be used for major …