On Energy Efficient
Encryption for Video
Streaming
in Wireless Sensor Networks
Introduction:
VIDEO
streaming protocols such as MPEG-4 H.264/AVC
have gained popularity or their wide applications in wireless sensor
networks (WSNs). It is well known that many applications in WSNs are mission
critical, such as battlefield assistance, adversary intrusion detection,
distributed signal processing, etc. In these applications, the multimedia
semantic information and video content are extremely sensitive to malicious
attacks, including eavesdropping/intercepting of ongoing traffic, and
manipulating/counterfeiting of the existing media flows. In this paper, we
tackle the challenges of eavesdropping and intercepting attacks in WSNs,
motivated by a simple but critical fact, i.e., the accessibility of
surveillance video stream content information to adversaries will reveal the
location of cameras to them, jeopardizing information retrieval functionalities
critical to the WSNs. Conventional data
encryption schemes such as advanced encryption standard (AES) and elliptic
curve cryptography (ECC) are difficult to be applied directly to wireless video
privacy protection due to the large
volume of data and real-time transmission requirements. Selective encryption
[4], [5] has been proposed recently as an ideal candidate to achieve content
protection. However, most of the previous works on multimedia selective encryption
have been focused mainly on the application layer cryptography, and they did
not consider the optimal delivery of encrypted video frames in error-prone
wireless channels. Furthermore, the study on critical energy-distortion
optimization in WSNs with flexible network resource allocation is missing in
the literature.
The works in [4] and [5]
surveyed state-of-the-art multimedia privacy protection technologies, and the
authors strongly advocated selective encryption as an efficient solution to
achieve multimedia secrecy. Lain et al. [6] proposed a partial
encryption scheme aiming to hide important MPEG-4 H.264 content information. In
an approach revealed in [6], the intra-prediction mode information, residue
data, and motion vectors were selected and ciphered based on the Exp-Golomb
coding, the context-adaptive variable length coding (CAVLC), and the sign
coding. The work reported in [7] also proposed a selective encryption algorithm
for H.264/AVC video, in which the first eight bytes of data in each macro block
were encrypted based on data encryption standard (DES) to distort the video
visual quality. The works demonstrated in [7] and [8] proposed the schemes
for
the frequency domain scrambling of the significant transformation coefficients
to avoid video content fruition by unauthorized or illegitimate users. The
carefully designed scrambling techniques in those approaches considerably
alleviates the
Plaintext
attacks. Efficient quad-tree and zero-tree-based selective encryption
approaches were suggested in [9] for digital images and videos.
Existing System:
·
The issues on
joint optimization of video quality, content protection, and communication
energy efficiency in a wireless sensor network (WSN) have not been fully
performed.
·
applications, the multimedia semantic
information and video content are extremely sensitive to malicious attacks,
including eavesdropping/intercepting of ongoing
Traffic and manipulating/counterfeiting.
·
The previous works on multimedia
selective encryption have been focused mainly on the application layer
cryptography, and they did not consider the optimal delivery of encrypted video
frames in error-prone wireless channels.
·
In all the aforementioned works, various
challenging issues of improving energy efficiency in WSNs and a joint design of
energy-distortion-encryption schemes were not considered.
·
our previous works were focused on
providing security for a single
·
image only, without considering the
temporal correlation and dependency among multiple pictures in a video sequence
PROPOSED
SYSTEM:
·
We propose a
scheme to optimize the energy, distortion, and encryption performance of video
streaming in WSNs a channel-aware selective encryption approach is proposed to
minimize the extra encryption dependency overhead at the application layer.
·
Second, an
unequal error protection (UEP)-based network resource allocation scheme is proposed
to improve the communication efficiency at the lower Layers.
·
Simulation
experiments demonstrate that the proposed joint selective encryption and
resource allocation scheme can improve the video transmission quality.
·
Proposed a partial encryption scheme
aiming to hide important MPEG-4 H.264 content information.
·
The work reported in also proposed a
selective encryption algorithm for H.264/AVC video, in which the first eight
bytes of data in each macro block were encrypted based on data encryption standard
(DES) to distort the video visual quality.
·
The proposed application layer selective
encryption improves the robustness against transmission error by minimizing the
encryption overhead among video frames.
·
The proposed network resource allocation
scheme at the lower layers enhances the energy-distortion-encryption
performance by distributing energy resources and communication efforts
efficiently.
·
In addition, a new UEP-based network
resource allocation scheme is proposed to
·
Optimize the selectively encrypted video
transmission at the lower layers.
·
For P or B frames with more efficient
inter-prediction, a percentage of 7.6% and 1.8% of the total bit stream are
achieved for effective encryption, respectively.
·
Thus, encryption-distortion performance gain
is achieved by our proposed channel-aware priority-based selective encryption
scheme.
Advantage of proposed system:
The encryption cost is lowered by
reducing the total encryption workload, rather
Than
reducing key length or algorithm complexity.
We use strong block-based encryption
algorithms (such as advanced encryption systems—AES) and a minimum key length
requirement as illustrated in (3) to provide security and the cost is reduced
by using less encrypted multimedia information bits.
The work reported in also proposed a
selective encryption algorithm for H.264/AVC video, in which the first eight
bytes of data in each macro block were encrypted based on data encryption
standard (DES) to distort the video visual quality.
SYSTEM SPECIFICATION:
Hardware
CONFIGURATION
Ø Hard disk : 40 GB
Ø RAM : 512mb
Ø Processor : Pentium IV
Ø Monitor : 17’’Color
Monitor
Software
CONFIGURATION
Ø Front-End : VS
.NET 2005
Ø Coding Language
: C#
Ø Operating System
: Windows XP.
Ø Back End
:
SQLSERVER 2005
Layer approach
Resource allocation
Video selective encryption
Wireless sensor network
Modules Explanation:
Layer approach
The application layer loss aware selective
encryption is to determine the minimum encryption block length to meet the
security requirement.
A greater key length
and hence a larger encryption block length lead to better security and privacy
guarantee. The penalty of increasing encryption key length involves extra
encryption dependency in video stream data and degrades video transmission
quality in wireless channels.
The next step of the proposed scheme is to
determine the encryption priority among t he video frames. We perform a
complete frame level decoding dependency analysis
Input:
Get the video and then we split up into frames. We can give key for encrypt the frames. The
key length is larger it gives the higher security.
We giving higher key length we can protect the
higher protection but the video quality is low
Output:
The frames have keys to encrypt.
Resource allocation
The lower layer resource allocation energy
distortion modeling performance modeling for a single video frame transmission
in wireless channels can be modeled as a resources allocation problem.
The frame delivery
energy consumption and the frame delivery packet loss rate are related to the
resource allocation parameters in closed form.
Since there are typically a large number of
video frames in a group of picture and many resources allocation parameter are
applicable and adjustable a complete and accurate global optimum is hard to
achieve with the limited computational resources at sensor nodes.
Unequal error protection based network
resource allocation for the selectively encrypted video frames in a group of
picture can be further simplified and categorized.
The cross-layer resource
allocation approach is simplified to find the optimal transmission parameters
for each frames class.
The resource allocation parameter for each
video frames is reduced to n=Pt. in the inter correlated code stream.
Input:
Get the frames from layer module. Using this module we can get the
pictures to reduce the video frame length to compress.
Output:
Receive
the Compressed video to encrypt.
Video selective encryption
The decoding dependency of video frames in the
compressed encode stream could result in a significant quality degradation in
error-prone wireless channels.
In addition, the
selective encryptions on certain important code words in each video frame
introduce further inter frame dependency.
Designing a proper
and efficient selective encryption algorithm to minimize the extra encryption
dependency overhead is a critical issue for secure packet video transmission
over wireless sensor nodes.
Input:
Get all the compressed
video frames to set a video format. We can set the code word for each frame to
collect the secret videos.
Output:
Receive the all encrypted frames to a
set of video format to send through internet.
Wireless sensor network
Sensor network extend the existing
internet deep into the physical environment. The resulting new network is order
of magnitude more expansive and dynamic
than the current TCP/IP network and is creating entirely new types of traffic
that are quite different from what one finds
on the internet now.
Information collected
by and transmitted on a sensor network describes conditions of physical
environment.
Advantages
of sensor network
Networked sensor offers unique advantages over
traditional centralized approaches. Dense network of distributed communicating
sensor can improve signal-to –noise by reducing average distance from sensor to
sensor of signal. Increased energy efficiency in communication is enabled by
the Multi topology of the network.
Input:
We can
publish the video into the internet.
Output:
The user will not download the videos.
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