Abstract:
SMS messages are one of the popular ways of communication. Sending an SMS
is cheap, fast and simple. When confidential information is exchanged using
SMS, it is very difficult to protect the information from SMS security threats
like man-in-middle attack, DOS attack as well as ensure that the message is
sent by authorized senders. These papers describe solution that provides SMS
security that guarantees provision of confidentiality, authentication, and
integrity service. These provide hybrid compression encryption technique to
secure the SMS data. The proposed techniques encrypt the SMS Elliptic curve
encryption techniques and compress the encrypted SMS to reduce its length
this document using lossless compression techniques.
One
SMS message can contain at most 140 bytes (1120 bits) of data, so one
SMS
message can contain up to:
• 160
characters if 7-bit character encoding is used. (7- bit character encoding
is
suitable for encoding Latin characters like English alphabets.)
• 70
characters if 16-bit Unicode UCS2 (2-byte Universal Character Set)
character
encoding is used. (SMS text messages containing non-Latin
characters like
Chinese characters should use 16-bit character encoding.)
SMS text messaging supports languages internationally. It works fine with all
languages supported by Unicode, including Arabic, Chinese, Japanese and
Korean.
SMS
Security: What is Needed?
• Authentication:
Confirm true identities between sender and receiver, and
prevent impersonation
attack from illegal intruders.
• Confidentiality:
Ensure that decrypted messages are accessible only to
those authorized senders
and receivers.
• Integrity:
Ensure that receivers can check out whether the message has
been modified, and
prevent tampered messages.
Comparisons performance:
Following
are some measurements used to evaluate the performances of
lossless algorithms.
Compression
Ratio is the ratio between the size of the compressed file and
the size of the
source file.
Compression
Ratio=size after compression/size before compression
Compression
Factor is the inverse of the compression ratio. That is the ratio
between the
size of the source file and the size of the compressed file.
Compression
factor=size before compression/size after compression
Saving
Percentage calculates the shrinkage of the source file as a percentage.
Saving
Percentage=size before compression-size
after compression/ size
before compression.
All
the above methods evaluate the effectiveness of compression algorithms
using
file sizes.
CONCLUSION:
In this report we studied the techniques for securing SMS. The proposed
technique combines the encryption and compression process. The proposed
technique encrypts the SMS using Elliptic Curve algorithm. After this step the
encrypted SMS compressed using a lossless algorithm i.e. Shannon Fano
algorithm. The advantage of this technique is achieving the protection criteria
such as confidentiality and authenticity between two communication parties
and at the same time decreasing the message lengths.
algorithm. The advantage of this technique is achieving the protection criteria
such as confidentiality and authenticity between two communication parties
and at the same time decreasing the message lengths.
So, here we are using algorithms
ReplyDeleteElliptic Curve algorithm for encryption and decryption.
Shannon Fano algorithm for compression process.