Cyber Attack Detection in WSN using ML

Author(s)	Monicasri J M, Preethi K, Manojkumar K, Mohammed Hashil, Dr.V. Savitha
Country	India
Abstract	Wireless Sensor Networks (WSNs) play an essential role in bridging the digital and physical worlds, enabling seamless data collection and communication. Constructed with advanced sensors, electronic components, and networking capabilities, WSNs support various applications, including environmental monitoring, healthcare, and industrial processes. However, the automated data flow and interconnected nature of IoT devices in these networks introduce significant security risks. WSNs face a range of common vulnerabilities. One major issue is weak encryption, often due to the limited processing power and energy capacity of sensor nodes, which leaves data susceptible to unauthorized access. In addition, many WSNs transmit information over unsecured channels, increasing the risk of interception and data manipulation by cybercriminals. Physical tampering is also a concern, especially for sensors deployed in accessible or remote locations, where attackers may directly interfere with the devices, modify data, or disable the system.
Field	Computer > Network / Security
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-04-05

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research