• K.Anusha
• K.Nitya
• A.Asritha
• K.Manikanta
• P.Hemanth

The proposal of "fingerprinting" for IoT platform traffic represents a significant advancement in bolstering the security of IoT ecosystems. By introducing a tool like IOTPF, capable of discerning between the traffic of various mainstream. IoT platforms, a critical need in cybersecurity is being addressed. The structured workflows devised for traffic capturing, fingerprint feature extraction, and model construction offer a systematic framework for identifying and analyzing IoT platform traffic. This approach streamlines intrusion detection and vulnerability assessment processes, allowing security experts to concentrate on the specific traffic associated with IoT platforms. Conducting usability and performance tests on IOTPF is pivotal to validate its effectiveness. Through thorough evaluation across diverse conditions and scenarios, confidence in its real world applicability and reliability can be ensured. Going forward, sustained research and development in this field will be imperative to keep pace with the ever- evolving landscape of IoT security threats. As IoT devices become increasingly ubiquitous and inter connected, the demand for robust intrusion detection mechanisms and tools like IOTPF will only continue to escalate.

Fingerprinting, Internet of Things, Transmitting sensitive, Traffic analysis

" Iot Platform Traffic Signature Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.f694-f699, April-2024, Available :http://www.jetir.org/papers/JETIR2404578.pdf

" Iot Platform Traffic Signature Identification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppf694-f699, April-2024, Available at : http://www.jetir.org/papers/JETIR2404578.pdf