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An Efficient Model for S.M.S Security and SPAM Detection: A Review

Nikhila Zalpuri1 , Meena Arora2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-12 , Page no. 43-49, Dec-2015

Online published on Dec 31, 2015

Copyright © Nikhila Zalpuri , Meena Arora . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nikhila Zalpuri , Meena Arora, “An Efficient Model for S.M.S Security and SPAM Detection: A Review,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.12, pp.43-49, 2015.

MLA Style Citation: Nikhila Zalpuri , Meena Arora "An Efficient Model for S.M.S Security and SPAM Detection: A Review." International Journal of Computer Sciences and Engineering 3.12 (2015): 43-49.

APA Style Citation: Nikhila Zalpuri , Meena Arora, (2015). An Efficient Model for S.M.S Security and SPAM Detection: A Review. International Journal of Computer Sciences and Engineering, 3(12), 43-49.

BibTex Style Citation:
@article{Zalpuri_2015,
author = {Nikhila Zalpuri , Meena Arora},
title = {An Efficient Model for S.M.S Security and SPAM Detection: A Review},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2015},
volume = {3},
Issue = {12},
month = {12},
year = {2015},
issn = {2347-2693},
pages = {43-49},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=738},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=738
TI - An Efficient Model for S.M.S Security and SPAM Detection: A Review
T2 - International Journal of Computer Sciences and Engineering
AU - Nikhila Zalpuri , Meena Arora
PY - 2015
DA - 2015/12/31
PB - IJCSE, Indore, INDIA
SP - 43-49
IS - 12
VL - 3
SN - 2347-2693
ER -

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Abstract

Short message service (S.M.S) security is a very important issue in today’s time. In spite of the fact that instant messengers have become very popular, S.M.S is still used. S.M.S is prone to several attacks and is not yet marked as a safe means for communication. Security in S.M.S includes message authentication, user authentication, encryption and decryption of the message and Spam .This paper deals with the survey of all these aspects of security in order find the best options available for each of them today .It is found that the most widespread functions are SHA-1(Secure Hash Algorithm- 1) and MD5(Message Digest) , MD5 hash algorithm when used with RSA provides a very strong means for authentication of the user , ElGamal algorithm is the most effective for encryption/decryption of SMS and SVM(Support Vector Machine) is the best machine learning technique for SPAM detection.

Key-Words / Index Term

Elgamal , MD5, HMAC, Message digest, non spam , SMS, spam, support vector machines (SVM)

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