Spam Filtering Security Evaluation Framework Using SVM, LR and MILR
Kunjali Pawar, Madhuri Patil · International Journal of Computer-Aided Technologies · 2016
The Pattern classification system classifies the pattern into feature space within a boundary.In case adversarial applications use, for example Spam Filtering, the Network Intrusion Detection System (NIDS), Biometric Authentication, the pattern classification systems are used.Spam filtering is an adversary application in which data can be employed by humans to attenuate perspective operations.To appraise the security issue related Spam Filtering voluminous machine learning systems.We presented a framework for the experimental evaluation of the classifier security in an adversarial environments, that combines and constructs on the arms race and security by design, Adversary modelling and Data distribution under attack.Furthermore, we presented a SVM, LR and MILR classifier for classification to categorize email as legitimate (ham) or spam emails on the basis of thee text samples.