-
8/13/2019 anilsemi
1/6
i
SEMINAR REPORT
ON
Energy-efficient and Secure Sensor DataTransmission Using
Encompression
Submitted By
ANILKUMAR P
Reg No. EWAKEEC014
Department of Electronics & Communication Engineering
AWHENGINEERINGCOLLEGE, CALICUT, KERALA
UNIVERSITY OF CALICUT
2014
-
8/13/2019 anilsemi
2/6
ii
DEPARTMENT OF ELECTRONICS & COMMUNICATION
ENGINEERING
CERTIFICATE
Certified that this is the bonafide record of the seminar
titled
Energy-efficient and Secure Sensor DataTransmission Using
Encompression
Carried out by the under mentioned student
ANILKUMAR P
Reg No. EWAKEEC014
In Partial fulfillment of the requirement for the award of
bachelor of technology
degree of electronics and communication engineering under the
University of
Calicut during the year 2014
Ms. Aparna k c Ms. Lekha Pankaj
Assistant Professor and Seminar Coordinator Associate
Professor
and Head Dept. of ECE
Dept. of ECE AWH Engineering
AWH Engineering College , Calicut College, Calicut
Date: / 01/2014 Date: / 01/2014
-
8/13/2019 anilsemi
3/6
iii
ACKNOWLEDGEMENT
Words will not suffice to express my sincere gratitude to
Professor Shahir V K,
Principal, AWH Engineering College, for providing me the
necessary facilities for the
seminar. I express my heartfelt gratitude to Smt.Lekha Pankaj,
Associate Professor
and Head, Department of Electronics and Communication
Engineering for her
valuable guidance and moral support throughout the work.
I wish to express my sincere thanks to Ms. Aparna K C, Assistant
Professor and
Seminar Coordinator, Department of Electronics and Communication
Engineering for
his valuable suggestions and timely help.
I would like to thank my family and all my friends for their
unending support and
motivation
Above all, I thank God for giving me strength, courage and
blessings to complete
this seminar.
ANILKUMAR P
-
8/13/2019 anilsemi
4/6
iv
ABSTRACT
Sensor networks are frequently deployed in physically
insecure
environments and capture sensitive data, making security a
paramount challenge.
Cryptographic techniques,such as encryption and hashing, are
useful in addressing
these concerns. However, the use of these schemes greatly
increases the energy
consumption of sensor nodes and thus shortens their lifetime.To
address this
challenge, we propose encompression (encryption+ compression) as
a strategy to
achieve low-energy secure data transmission in sensor networks.
Our proposal
combines, for the first time, compressive sensing (CS), a
powerful and general
approach for exploiting sparsity of sensor data, with encryption
and integrity checking
of the compressively sensed data. While encompression can be
realized using any
compression technique, CS is particularly well suited since it
can be realized with a
very low computational and energy footprint that is compatible
with the constraints of
sensor nodes.We present an evaluation of a hardware
implementation ofencompression, wherein the CS, encryption, and
integrity checking algorithms are
realized using a 65-nm CMOS technology. We also present a
system-level evaluation
of encompression by realizing it in software on a commercial
embedded sensor
platform and measuring the energy consumption. The evaluation of
encompression in
hardware shows that, with the use of a reasonable compression
ratio of 6-10,
encompression results in an energy reduction of 55-65% over a
hardware
implementation of encryption and integrity checking alone. The
system-level
evaluation demonstrates that the energy of an application that
captures, encompresses,
and transmits data is reduced by upto 78% using encompression
vs. traditional
encryption and integrity checking. Our results also demonstrate
that the total sensor
node energy consumption with encompression may even be less than
the case where
neither cryptography nor compression is employed (for a
compression ratio of 10 ,
this energy bonuscan be upto 14%). These results suggest that
the use of CS may
be a gamechanger in enabling state-of-the-art cryptography to be
employed in highly
energy-constrained sensor networks.
-
8/13/2019 anilsemi
5/6
v
CONTENTS
Chapters Page No
1. INTRODUCTION 12. LITERATURE SURVEY 3
2.1COMPRESSIVE SENCING 3
2.1.1 CS TECHNIQUE
2.2 SECURE HASH ALGORITHM (SHA) 4
2.3 ADVACED ENCRYPTION STANDERD (AES) 5
3. ENCOMPRESSION IN HARDWARE 63.1COMPRESSION 7
3.2ENCRYPTION 8
3.3INTERITY CHECKING 8
4. HARDWARE IMPLIMENTATION 105. SYSTEM LEVEL EVALUATION 13
5.1EXPERIMENTAL SETUP 13
5.2SENSOR ENERGY PROFILE 13
6. CONCLUSION 19REFERENCES
-
8/13/2019 anilsemi
6/6
vi
LIST OF FIGURES
Figures Page No
1 ENCOMPRESSION ARCHITECTURE 4
2 COMPRESSION HARDWARE OVERVIEW 6
3 ENERGY REDUCTION FOR HARDWARE IMPLIMENTATION
OFENCOMPRESSION
4 EZ430 AP AND AD
5 AD TRASMISSION CURRENT PROFILE
6 ENERGY BONUSES
7 ENERGY OVERHEAD
