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The document provides details about a project report on security extensibility in steganography. It discusses existing steganography techniques like the Least Significant Bit (LSB) algorithm and their drawbacks. It proposes developing a new Security Extensibility Algorithm (SRM algorithm) to provide better security for steganography compared to the LSB algorithm. The SRM algorithm would be used for steganography, cryptography, password authentication, and digital watermarking. The report outlines the system analysis, design, and testing of the proposed SRM algorithms to enhance security when embedding secret messages within digital files.
This document provides an overview of steganography. It discusses how steganography hides messages within carriers so that the message is concealed. The document then discusses the history of steganography dating back to ancient Greece. It also discusses modern uses of steganography during the Cold War and by terrorist groups. The document outlines the objectives of the study which are to provide security during message transmission. It then discusses steganography techniques like the LSB algorithm and provides snapshots of its implementation. Finally, it discusses the results of using LSB steganography and concludes with possibilities for further enhancement.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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The document provides details about a project report on security extensibility in steganography. It discusses existing steganography techniques like the Least Significant Bit (LSB) algorithm and their drawbacks. It proposes developing a new Security Extensibility Algorithm (SRM algorithm) to provide better security for steganography compared to the LSB algorithm. The SRM algorithm would be used for steganography, cryptography, password authentication, and digital watermarking. The report outlines the system analysis, design, and testing of the proposed SRM algorithms to enhance security when embedding secret messages within digital files.
This document provides an overview of steganography. It discusses how steganography hides messages within carriers so that the message is concealed. The document then discusses the history of steganography dating back to ancient Greece. It also discusses modern uses of steganography during the Cold War and by terrorist groups. The document outlines the objectives of the study which are to provide security during message transmission. It then discusses steganography techniques like the LSB algorithm and provides snapshots of its implementation. Finally, it discusses the results of using LSB steganography and concludes with possibilities for further enhancement.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Vampire attacks draining life from w...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Optimal multicast capacity and delay...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT On the real time hardware implementa...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Model based analysis of wireless sys...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Mobile relay configuration in data i...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Distributed cooperative caching in s...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Cooperative packet delivery in hybri...IEEEGLOBALSOFTTECHNOLOGIES
The document proposes a solution for cooperative packet delivery in hybrid wireless mobile networks using a coalitional game-theoretic approach. Mobile nodes form coalitions to cooperatively deliver packets to reduce delivery delays. A coalitional game model analyzes nodes' incentives to cooperate based on delivery costs and delays. Markov chain and bargaining models determine payoffs to find stable coalitions. Simulation results show nodes achieve higher payoffs by cooperating in coalitions than acting alone.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Content sharing over smartphone base...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Community aware opportunistic routin...IEEEGLOBALSOFTTECHNOLOGIES
This document proposes a Community-Aware Opportunistic Routing (CAOR) algorithm for mobile social networks. It models communities as "homes" that nodes frequently visit. The CAOR algorithm computes optimal relay sets for each home to minimize message delivery delays. It represents an improvement over existing social-aware algorithms by achieving optimal routing performance between homes rather than relying on locally optimal node characteristics.
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Adaptive position update for geograp...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Scalable and secure sharing of person...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...IEEEGLOBALSOFTTECHNOLOGIES
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using vir...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Collaboration in multicloud computing...IEEEGLOBALSOFTTECHNOLOGIES
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Model based analysis of wireless sys...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Mobile relay configuration in data i...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Distributed cooperative caching in s...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Delay optimal broadcast for multihop...IEEEGLOBALSOFTTECHNOLOGIES
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To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Cooperative packet delivery in hybri...IEEEGLOBALSOFTTECHNOLOGIES
The document proposes a solution for cooperative packet delivery in hybrid wireless mobile networks using a coalitional game-theoretic approach. Mobile nodes form coalitions to cooperatively deliver packets to reduce delivery delays. A coalitional game model analyzes nodes' incentives to cooperate based on delivery costs and delays. Markov chain and bargaining models determine payoffs to find stable coalitions. Simulation results show nodes achieve higher payoffs by cooperating in coalitions than acting alone.
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Content sharing over smartphone base...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Community aware opportunistic routin...IEEEGLOBALSOFTTECHNOLOGIES
This document proposes a Community-Aware Opportunistic Routing (CAOR) algorithm for mobile social networks. It models communities as "homes" that nodes frequently visit. The CAOR algorithm computes optimal relay sets for each home to minimize message delivery delays. It represents an improvement over existing social-aware algorithms by achieving optimal routing performance between homes rather than relying on locally optimal node characteristics.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE MOBILECOMPUTING PROJECT Adaptive position update for geograp...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE MOBILECOMPUTING PROJECT A scalable server architecture for m...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Attribute based access to scalable me...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Scalable and secure sharing of person...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Privacy preserving public auditing fo...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Dynamic resource allocation using vir...IEEEGLOBALSOFTTECHNOLOGIES
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DOTNET 2013 IEEE CLOUDCOMPUTING PROJECT Collaboration in multicloud computing...IEEEGLOBALSOFTTECHNOLOGIES
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zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Northern Engraving | Modern Metal Trim, Nameplates and Appliance PanelsNorthern Engraving
What began over 115 years ago as a supplier of precision gauges to the automotive industry has evolved into being an industry leader in the manufacture of product branding, automotive cockpit trim and decorative appliance trim. Value-added services include in-house Design, Engineering, Program Management, Test Lab and Tool Shops.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
JAVA 2013 IEEE NETWORKSECURITY PROJECT Reversible data hiding in encrypted images by reserving room before encryption
1. Reversible Data Hiding in Encrypted Images by Reserving
Room Before Encryption
ABSTRACT
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted images, since it
maintains the excellent property that the original cover can be losslessly recovered after embedded data is
extracted while protecting the image content’s confidentiality. All previous methods embed data by reversibly
vacating room from the encrypted images, which may be subject to some errors on data extract ion and/or
image restoration. In this paper, we propose a novel method by reserving room before encryption with a
traditional RDH algorithm, and thus it is easy for the data hider to reversibly embed data in the encrypted
image. The proposed method can achieve real reversibility, that is, data extraction and image recovery are free
of any error. Experiments show that this novel method can embed more than 10 times as large payloads for the
same image quality as the previous methods, such as for PSNR dB.
Architecture
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2. Existing System
In this Existing System, since losslessly vacating room from the encrypted images is relatively difficult
and sometimes inefficient, why are we still so obsessed to find novel RDH techniques working directly for
Encrypted Images? The method in compressed the encrypted LSBs to vacate room for additional data by finding
syndromes of a parity-check matrix, and the side information used at the receiver side is also the spatial
correlation of decrypted images. All the three methods try to vacate room from the encrypted images directly.
However, since the entropy of encrypted images has been maximized, these techniques can only achieve small
payloads generate marked image with poor quality for large payload and all of them are subject to some error
rates on data extraction and/or image restoration.
Disadvantage
X. Low error rate
X. Data extraction and image restoration problem
Proposed System
In proposed method can achieve real reversibility, that is, data extraction and image recovery are free of
any error. If we reverse the order of encryption and vacating room, i.e., reserving room prior to image
3. encryption at content owner side, the RDH tasks in encrypted images would be more natural and much easier
which leads us to the novel framework, “reserving room before encryption (RRBE)”
Advantage
Not only does the proposed method separate data extraction from image decryption but also achieves
excellent performance in two different prospects:
Real reversibility is realized, that is, data extraction and image recovery are free of any error.
For given embedding rates, the PSNRs of decrypted image containing the embedded data are
significantly improved; and for the acceptable PSNR, the range of embedding rates is greatly
enlarged.
Modules
1. Encrypted Image Generation
a) IMAGE PARTITION
b) SELF REVERSIBLE EMBEDDING
2. Data Hiding In Encrypted Image
3. Data Extraction and Image Recovery
4. Data Extraction and Image Restoration
Modules Description
Encrypted Image Generation
In this module, to construct the encrypted image, the first stage can be divided into three steps:
c) IMAGE PARTITION,
d) SELF REVERSIBLE EMBEDDING followed by image encryption.
At the beginning, image partition step divides original image into two parts and then, the LSBs of are reversibly
embedded into with a standard RDH algorithm so that LSBs of can be used for accommodating messages; at
last, encrypt the rearranged image to generate its final version.
a) IMAGE PARTITION
The operator here for reserving room before encryption is a standard RDH technique, so the goal of
image partition.
b) SELF REVERSIBLE EMBEDDING
4. The goal of self-reversible embedding is to embed the LSB-planes of into by employing
traditional RDH algorithms. We simplify the method in to demonstrate the process of self-embedding.
Data Hiding In Encrypted Image
In this module, a content owner encrypts the original image using a standard cipher with an encryption
key. After producing the encrypted image, the content owner hands over it to a data hider (e.g., a database
manager) and the data hider can embed some auxiliary data into the encrypted image by losslessly vacating
some room according to a data hiding key. Then a receiver, maybe the content owner himself or an authorized
third party can extract the embedded data with the data hiding key and further recover the original image from
the encrypted version according to the encryption key.
Data Extraction and Image Recovery
In this module, Extracting Data from Encrypted Images to manage and update personal information of
images which are encrypted for protecting clients’ privacy, an inferior database manager may only get access to
the data hiding key and have to manipulate data in encrypted domain. When the database manager gets the data
hiding key, he can decrypt and extract the additional data by directly reading the decrypted version. When
requesting for updating information of encrypted images, the database manager, then, updates information
through LSB replacement and encrypts up dated information according to the data hiding key all over again. As
the whole process is entirely operated on encrypted domain, it avoids the leakage of original content.
Data Extraction and Image Restoration
In this module, after generating the marked decrypted image, the content owner can further extract the
data and recover original image.
5. Reversible Data Hiding (RDH) – Compression Algorithm
private void Encrypt_btn_Click(object sender, EventArgs e)
{
pictureBox1.Image = Image.FromFile(EnImage_tbx.Text);
if (saveFileDialog1.ShowDialog() == DialogResult.OK)
{
saveToImage = saveFileDialog1.FileName;
}
else
return;
if (EnImage_tbx.Text == String.Empty || EnFile_tbx.Text ==
String.Empty)
{
MessageBox.Show("Encrypton information is incomplete!nPlease
complete them frist.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
if (8 * ((height * (width / 3) * 3) / 3 - 1) < fileSize +
fileNameSize)
{
//MessageBox.Show("File size is too large!nPlease use a larger
image to hide this file.", "Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
//return;
}
fileContainer = File.ReadAllBytes(loadedFilePath);
EncryptLayer();
//SqlConnection con = new SqlConnection(constring);
//con.Open();
//SqlCommand cmd2 = new SqlCommand("update Embedding set
saveimagepath='" + saveToImage + "' where id1='" + int2 + "' and autid='" + auid1
+ "'", con);
//cmd2.ExecuteNonQuery();
//SqlCommand cmd1 = new SqlCommand("update Embedding set
loadimagepath='" + EnImage_tbx.Text + "',loadfilepath='" + EnFile_tbx.Text + "'
where id1='" + int2 + "' and autid='" + auid1 + "'", con);
//cmd1.ExecuteNonQuery();
//con.Close();
//MessageBox.Show("your file is ready to split the packets ,click
packets sending!!!");
}
private void EncryptLayer()
{
toolStripStatusLabel1.Text = "Encrypting... Please wait";
Application.DoEvents();
long FSize = fileSize;
Bitmap changedBitmap = EncryptLayer(8, loadedTrueBitmap, 0, (height *
(width / 3) * 3) / 3 - fileNameSize - 1, true);
FSize -= (height * (width / 3) * 3) / 3 - fileNameSize - 1;
if (FSize > 0)
{
6. for (int i = 7; i >= 0 && FSize > 0; i--)
{
changedBitmap = EncryptLayer(i, changedBitmap, (((8 - i) *
height * (width / 3) * 3) / 3 - fileNameSize - (8 - i)), (((9 - i) * height *
(width / 3) * 3) / 3 - fileNameSize - (9 - i)), false);
FSize -= (height * (width / 3) * 3) / 3 - 1;
}
}
changedBitmap.Save(saveToImage);
toolStripStatusLabel1.Text = "Encrypted image has been successfully
saved.";
EncriptionDone = true;
AfterEncryption = Image.FromFile(saveToImage);
this.Invalidate();
}
private Bitmap EncryptLayer(int layer, Bitmap inputBitmap, long
startPosition, long endPosition, bool writeFileName)
{
Bitmap outputBitmap = inputBitmap;
layer--;
int i = 0, j = 0;
long FNSize = 0;
bool[] t = new bool[8];
bool[] rb = new bool[8];
bool[] gb = new bool[8];
bool[] bb = new bool[8];
Color pixel = new Color();
byte r, g, b;
if (writeFileName)
{
FNSize = fileNameSize;
string fileName = justFName(loadedFilePath);
//write fileName:
for (i = 0; i < height && i * (height / 3) < fileNameSize; i++)
for (j = 0; j < (width / 3) * 3 && i * (height / 3) + (j / 3)
< fileNameSize; j++)
{
byte2bool((byte)fileName[i * (height / 3) + j / 3], ref
t);
pixel = inputBitmap.GetPixel(j, i);
r = pixel.R;
g = pixel.G;
b = pixel.B;
byte2bool(r, ref rb);
byte2bool(g, ref gb);
byte2bool(b, ref bb);
if (j % 3 == 0)
{
rb[7] = t[0];
gb[7] = t[1];
bb[7] = t[2];
}
else if (j % 3 == 1)
{
8. Color result = Color.FromArgb((int)bool2byte(rb),
(int)bool2byte(gb), (int)bool2byte(bb));
outputBitmap.SetPixel(j, i, result);
}
long tempFS = fileSize, tempFNS = fileNameSize;
r = (byte)(tempFS % 100);
tempFS /= 100;
g = (byte)(tempFS % 100);
tempFS /= 100;
b = (byte)(tempFS % 100);
Color flenColor = Color.FromArgb(r, g, b);
outputBitmap.SetPixel(width - 1, height - 1, flenColor);
r = (byte)(tempFNS % 100);
tempFNS /= 100;
g = (byte)(tempFNS % 100);
tempFNS /= 100;
b = (byte)(tempFNS % 100);
Color fnlenColor = Color.FromArgb(r, g, b);
outputBitmap.SetPixel(width - 2, height - 1, fnlenColor);
return outputBitmap;
}
private void byte2bool(byte inp, ref bool[] outp)
{
if (inp >= 0 && inp <= 255)
for (short i = 7; i >= 0; i--)
{
if (inp % 2 == 1)
outp[i] = true;
else
outp[i] = false;
inp /= 2;
}
else
throw new Exception("Input number is illegal.");
}
private byte bool2byte(bool[] inp)
{
byte outp = 0;
for (short i = 7; i >= 0; i--)
{
if (inp[i])
outp += (byte)Math.Pow(2.0, (double)(7 - i));
}
return outp;
}
private string justFName(string path)
{
string output;
int i;
if (path.Length == 3) // i.e: "C:"
return path.Substring(0, 1);
9. for (i = path.Length - 1; i > 0; i--)
if (path[i] == '')
break;
output = path.Substring(i + 1);
return output;
}
private string justEx(string fName)
{
string output;
int i;
for (i = fName.Length - 1; i > 0; i--)
if (fName[i] == '.')
break;
output = fName.Substring(i + 1);
return output;
}
SYSTEM REQUIREMENT SPECIFICATION
HARDWARE REQUIREMENTS
System : Pentium IV 2.4 GHz.
Hard Disk : 80 GB.
Monitor : 15 VGA Color.
Mouse : Logitech.
Ram : 512 MB.
SOFTWARE REQUIREMENTS
Operating system : Windows 7 Ultimate (32-bit) OS
Front End : Visual Studio 2010
Coding Language : C#.NET
Database : SQL Server 2008