The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Dynamic Intelligence-Driven Engineering Flooding Attack Prediction Using Ensemble Learning
|
|
Author(s): R. Angeline (SRM Institute of Science and Technology, Ramapuram, India), S. Aarthi (SRM Institute of Science and Technology, Ramapuram, India), R. Regin (SRM Institute of Science and Technology, India)and S. Suman Rajest (Dhaanish Ahmed College of Engineering, India)
Copyright: 2023
Pages: 16
Source title:
Advances in Artificial and Human Intelligence in the Modern Era
Source Author(s)/Editor(s): S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Bhopendra Singh (Amity University, Dubai, UAE), Ahmed J. Obaid (University of Kufa, Iraq), R. Regin (SRM Institute of Science and Technology, India)and Karthikeyan Chinnusamy (Veritas, USA)
DOI: 10.4018/979-8-3693-1301-5.ch006
Purchase
|
Abstract
The rapid evolution of the Internet and communication technologies has fueled the proliferation of wireless sensor network (WSN) technology, which is increasingly important in today's interconnected world. For a broad variety of industries and applications, an enormous number of sensing devices continuously create and/or gather copious amounts of sensory data. However, it has been shown that WSN is susceptible to security flaws. These networks' abrasive and unmanaged deployment, along with their limited resources and the amount of data produced, raise serious security issues. The development of trustworthy solutions that include quick and continuous processes for live data stream analysis allowing the identification of flooding assaults is crucial since WSN applications are of the utmost importance. To put it in plain words: The assault is carried out by repeatedly sending pointless requests to the target computer in an effort to overwhelm it, cause the systems to fail, and prevent people from accessing the network or machine.
Related Content
|
Bikash Kumar, Rhythm Gaba, Rabi Shaw.
© 2026.
40 pages.
|
|
R. Velmurugan, J. Sudarvel, R. Bhuvaneswari, Ravi Thirumalaisamy.
© 2026.
28 pages.
|
|
J. Vijaya, Soumya Chandrakar, Pragya Shrivastava.
© 2026.
42 pages.
|
|
Yamini Ghanghorkar, Amruta Deshpande.
© 2026.
28 pages.
|
|
B. Bharathi, B. Kalaivani, Kasu Manaswi, Kantabathina Tejaswini.
© 2026.
28 pages.
|
|
Moumita Chowdhury, Aastha Agarwal, Alisha Parveen, Abhishek Mukhopadhyay.
© 2026.
42 pages.
|
|
Utkarsh Trivedi, Yash Vardhan, Piyush Kumar, Ansh Aryan, Parth Batra, Hitesh Mohapatra.
© 2026.
28 pages.
|
|
|