Detecting Malicious Email Accounts on Social Media
Santhosh Nunna1, Nagurbabu Kaladi2, S.Jancy3
1Santhosh Nunna, Student, School of Computing, Sathyabama Institute of Science & Technology, Chennai (Tamil Nadu), India.
2Nagurbabu Kaladi, Assistant Professor, School of Computing, Sathyabama Institute of Science & Technology, Chennai (Tamil Nadu), India.
3S.Jancy, School of Computing, Sathyabama Institute of Science & Technology, Chennai (Tamil Nadu), India.
Manuscript received on 19 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 577-579 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11060782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1106.0782S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this area, we have introduced the scheme for detecting malicious communication over the network and for maintaining the pipeline until the communication ends. Targeted malicious emails (TME) is the method for detecting the malicious email in the computer network, this scheme has a unique protocol for detecting the fault. Methods have two variant namely Spam Analyzing and ClamAV with the classifier of random forest which has a strong mathematical model in TME. The dynamical process will take everything under detection process, Filtering will extract the feature into an alternative. Threats are filtered from the communication by using the protocol which was developed. We develop a unique scheme for auditing the network continuously till the network is idle.
Keywords: Information, Email, Threats, Administration, Malicious.
Scope of the Article: Social Networks