• Kavita Basappa Melmari
• Aysiri chidananda
• Kavya N
• Dr. soumya Patil

In hostile applications like biometric authentication, network intrusion detection, and spam filtering, where data may be deliberately altered by humans to impede function, pattern classification algorithms are frequently used. Because traditional design methods do not account for this adversarial scenario, pattern categorization systems may contain flaws that could be exploited to significantly lower their performance and, as a result, their usefulness in real- world applications. As a result, extending pattern classification theory and design methods to adversarial situations is a novel and highly pertinent research subject that hasn't been thoroughly explored before.

Pattern Classifiers, Data Mining, Spam Filter, Data Sets

"security assessment for an application using a spam filter and a pattern classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.l542-l548, April-2023, Available :http://www.jetir.org/papers/JETIR2304B78.pdf

"security assessment for an application using a spam filter and a pattern classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppl542-l548, April-2023, Available at : http://www.jetir.org/papers/JETIR2304B78.pdf