This ppt is on "Robust video data hiding". Includes intro, issues, challenges, motivation, design, implementation, result with snapshots, conclusion and future work.
HOPE THIS HELPS !! :)
Dr. Shiraz Munshi discusses his approach to treating chronic back pain, which involves precision diagnosis through a combination of history, physical exam, imaging, and diagnostic injections to identify the specific source of pain in 70% of cases. This allows for targeted, minimally invasive treatments like nerve blocks, radiofrequency ablation, and spinal cord stimulation to effectively manage pain and improve outcomes like returning to work. The document outlines various potential sources of spinal pain and techniques for diagnosing and treating conditions of the discs, facet joints, sacroiliac joints, and nerves.
Dr. Shankaragouda Patil presented on spondylolisthesis, beginning with its historical aspects defined by Herbiniaux in 1782 and the term being coined by Kilian in 1854. Spondylolisthesis is defined as the forward slippage of one vertebra on its adjacent caudal segment, often caused by a defect in the pars interarticularis. Wiltse, Newman, and Macnab's classification system categorizes spondylolisthesis into six types based on etiology. The natural history and progression of spondylolisthesis depends on factors like age, gender, degree of slippage, and type (developmental, isthmic, or degenerative).
This short slide deck describes some basic principles and frameworks for use in technical training.
The target audience for this presentation is SMEs who are being called to train. These trainers need a basic introduction to training without the deep dive into instructional theory.
Robust video data hiding using forbidden data hidingnandhu_m08
This document proposes a new video data hiding method that uses erasure correction capability of Repeat Accumulate codes and Forbidden Zone Data Hiding. It selectively embeds data to determine suitable host signal samples for data hiding. It also includes a temporal synchronization scheme to withstand frame drop and insert attacks. The proposed method was tested on typical broadcast material against various compression and frame rate conversion attacks, and outperformed other well-known video data hiding methods, with lower decoding error rates reported for typical system parameters. Simulation results indicate the method can successfully be used for video data hiding applications.
Robust video data hiding using forbidden zoneMadonna Ranjini
The document proposes a new video data hiding method that uses forbidden zone data hiding and selective embedding. It utilizes repeat accumulate codes to handle errors caused by differences in selected host signal samples between the embedder and decoder. Frames are selectively embedded with message bits or frame synchronization markers. Frame markers allow detection of frame drops, inserts and repeats to withstand temporal attacks. Simulation results show the method can successfully hide data and withstand various attacks like compression, frame rate conversion and other data hiding methods.
This document discusses basic digital circuits and their components. It explains that a simple circuit consists of voltage, resistance, and amperage. Logic in circuits uses a binary system of 1s and 0s. Gates are used to change inputs into outputs, like the buttons and display of a microwave. The basic gates are AND, OR, and NOT. The AND gate outputs 1 if both inputs are 1, while the OR gate outputs 1 if either input is 1. Combining these gates allows building circuits to interpret inputs and produce desired outputs.
Dr. Shiraz Munshi discusses his approach to treating chronic back pain, which involves precision diagnosis through a combination of history, physical exam, imaging, and diagnostic injections to identify the specific source of pain in 70% of cases. This allows for targeted, minimally invasive treatments like nerve blocks, radiofrequency ablation, and spinal cord stimulation to effectively manage pain and improve outcomes like returning to work. The document outlines various potential sources of spinal pain and techniques for diagnosing and treating conditions of the discs, facet joints, sacroiliac joints, and nerves.
Dr. Shankaragouda Patil presented on spondylolisthesis, beginning with its historical aspects defined by Herbiniaux in 1782 and the term being coined by Kilian in 1854. Spondylolisthesis is defined as the forward slippage of one vertebra on its adjacent caudal segment, often caused by a defect in the pars interarticularis. Wiltse, Newman, and Macnab's classification system categorizes spondylolisthesis into six types based on etiology. The natural history and progression of spondylolisthesis depends on factors like age, gender, degree of slippage, and type (developmental, isthmic, or degenerative).
This short slide deck describes some basic principles and frameworks for use in technical training.
The target audience for this presentation is SMEs who are being called to train. These trainers need a basic introduction to training without the deep dive into instructional theory.
Robust video data hiding using forbidden data hidingnandhu_m08
This document proposes a new video data hiding method that uses erasure correction capability of Repeat Accumulate codes and Forbidden Zone Data Hiding. It selectively embeds data to determine suitable host signal samples for data hiding. It also includes a temporal synchronization scheme to withstand frame drop and insert attacks. The proposed method was tested on typical broadcast material against various compression and frame rate conversion attacks, and outperformed other well-known video data hiding methods, with lower decoding error rates reported for typical system parameters. Simulation results indicate the method can successfully be used for video data hiding applications.
Robust video data hiding using forbidden zoneMadonna Ranjini
The document proposes a new video data hiding method that uses forbidden zone data hiding and selective embedding. It utilizes repeat accumulate codes to handle errors caused by differences in selected host signal samples between the embedder and decoder. Frames are selectively embedded with message bits or frame synchronization markers. Frame markers allow detection of frame drops, inserts and repeats to withstand temporal attacks. Simulation results show the method can successfully hide data and withstand various attacks like compression, frame rate conversion and other data hiding methods.
This document discusses basic digital circuits and their components. It explains that a simple circuit consists of voltage, resistance, and amperage. Logic in circuits uses a binary system of 1s and 0s. Gates are used to change inputs into outputs, like the buttons and display of a microwave. The basic gates are AND, OR, and NOT. The AND gate outputs 1 if both inputs are 1, while the OR gate outputs 1 if either input is 1. Combining these gates allows building circuits to interpret inputs and produce desired outputs.
This document is a synopsis submitted for a degree in bachelor of technology. It describes a project on audio steganography, where a secret message is hidden in a digital audio file. The synopsis includes an introduction describing the objective, benefits and scope of the project. It also includes sections on the encoding and decoding algorithms, flow charts, use case and data flow diagrams, and references.
DATA HIDING IN ENCRYPTED H.264 VIDEO FORMATalphin jose
I-frames, P-frames, and B-frames are the three major picture types or frame types used in video compression algorithms. I-frames are fully specified frames that do not require other frames to decode but are the least compressible. P-frames store only the changes from previous frames and are more compressible than I-frames but require previous frames to decode. B-frames can use both previous and forward frames for reference and achieve the highest compression but require both previous and forward frames to decode. I-frames are used as random access points and references for decoding other frames.
Captcha as graphical passwords a new security primitive based on hard ai prob...IGEEKS TECHNOLOGIES
The document proposes a new security primitive called Captcha as Graphical Passwords (CaRP) that uses hard AI problems from Captcha technology to create a novel graphical password system. CaRP aims to address security issues like online guessing attacks, relay attacks, and shoulder surfing. It can probabilistically thwart automated online guessing even if the password is in the search set. CaRP also aims to solve the "image hotspot" problem in other graphical password systems. The document outlines examples of how CaRP could work and argues that it offers reasonable security and usability for improving online security.
fog computing provide security to the data in cloudpriyanka reddy
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications closer to end devices and users in order to improve response times for latency-sensitive applications like smart grids and connected vehicles. It creates a distributed network that balances resources between the cloud and edge devices.
This document proposes a new type of graphical password system called CAPTCHA As Graphical Passwords (CaRP) that integrates CAPTCHAs with password authentication. CaRP schemes require users to click on a sequence of visual objects like characters, animals or grid cells in an image to enter their password. This combines the tasks of recognizing CAPTCHA objects and recalling a click-sequence password. CaRP aims to thwart automatic guessing attacks by generating new images for each login attempt. Recognition-based CaRP examples include Click Text and Click Animal, while Animal Grid combines recognition and cued recall. CaRP is resistant to relay attacks and provides stronger security than other graphical passwords by leveraging hard AI problems in CAPT
This document provides an overview and comparison of the H.264 and HEVC video coding standards. It describes the key features and innovations that allow each standard to compress video more efficiently than previous standards. H.264 introduced features like adaptive block sizes, multi-frame prediction, quarter-pixel motion compensation and loop filtering that improved compression performance over prior standards. HEVC aims to further increase compression efficiency through innovations such as larger coding tree blocks, additional intra-prediction modes, and improved entropy coding. The document analyzes these standards to understand how their new coding tools enable significantly higher compression ratios and support for new applications like higher resolution video.
Fog computing provide security to data in cloud pptpriyanka reddy
This document discusses fog computing and a proposed system to improve security of data stored in the cloud. It proposes using decoy technology to monitor for abnormal access patterns and generate fake documents to confuse attackers. The system would profile user behavior to validate authorized access and deploy decoys when abnormal access is detected. This helps prevent attackers from distinguishing real user data from fake data.
The document discusses the evolution of marketing from Marketing 1.0 to Marketing 3.0. Marketing 1.0 was product-centric, while Marketing 2.0 became consumer-centric. Marketing 3.0 focuses on meeting consumers' emotional and rational needs by prioritizing engagement, collaboration, and building brand credibility through trust, authenticity and transparency. Some marketers still rely on outdated metrics like impressions and reach, but Marketing 3.0 requires understanding social media influencers and adapting to the increased power of consumers online.
The document provides an overview of steganography, including its definition, history, techniques, applications, and future scope. It discusses different types of steganography such as text, image, and audio steganography. For image steganography, it describes techniques such as LSB insertion and compares image and transform domain methods. It also provides examples of steganography tools and their usage for confidential communication and data protection.
The document discusses the marketing mix, also known as the 4Ps of marketing. It begins by explaining the origins of the term "marketing mix," which was first coined in 1953 and further developed in 1960 to describe the four broad categories of product, price, place, and promotion. These four elements, known as the 4Ps, make up the basic components of a marketing plan. The document then provides details on each of the 4Ps, describing what is involved in product, price, place, and promotion decisions for a company's marketing strategy. It notes that while the 4Ps framework was originally developed in the 1960s, it remains the foundation of analyzing a company's marketing mix today.
Now knowledge pre-processing, model and reasoning issues, power metrics, quality
issues, post-processing of discovered structures, isualization, and on-line change is best challenge.
In this paper Neural Network based forecasting of stock prices of selected sectors under Bombay
Stock Exchange show that neural networks have the power to predict prices albeit the volatility in the
markets[9]. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform “intelligent" tasks similar to those performed by the human brain. Artificial Neural Networks are being counted as the wave of the future in computing. They are indeed self-learning mechanisms which don’t require the traditional skills of a
programmer. Back propagation is one of the approaches to implement concept of neural networks. Back propagation is a form of supervised learning for multi-layer nets. Error data at the output layer is back propagated to earlier ones, allowing incoming weights to these layers to be updated. It is most often used as training algorithm in current neural network applications. In this paper, we apply data
mining technology to stock market in order to research the trend of price; it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier structure of the neural network, namely input layer, hidden layer and output layer. Finally, we get a better predictive model to improve forecast accuracy.
Data-Driven Marketing And Sales Predictions 2014 - Lattice EnginesLattice Engines
Sales and marketing professionals will become more data-driven in 2014 by:
1) Using customer insights and data about buyers' journeys to shorten sales cycles by 20% according to one prediction.
2) Modeling B2B sales and marketing after B2C by providing customers instant, real-time responses and value as consumers now demand from companies.
3) Leveraging data and analytics to develop deeper, role-specific customer understandings and insights to drive targeted conversations.
Best practice in sales and marketing alignment B2B Marketing
The B2B marketing world has changed dramatically. Today's marketer must be technically proficient, possess strong analytical skills and be innovative in their approach to aligning effectively with their sales counterparts. They must determine how they will increase demand creation through effective lead generation, inbound marketing and more impactful sales enablement with the sales organisation.
In his keynote, John Neeson will review five best practice strategies that are leveraged by high growth organisations for better alignment and effectiveness. Specifically, he will address the following:
•A best practice demand creation framework
•Strategies that best practice organisations are using to effectively align marketing and sales
•A marketing model for inbound, outbound and sales driven demand creation
•Best practice demand creation for the channel
•Identification of buying cycle phases and alignment of marketing activities and budget according to sales requirements in each phase.
The document is a 20 question Indian history quiz covering various empires, rulers, and events from ancient and medieval India. It includes multiple choice and fill-in-the-blank questions testing knowledge of important figures like Chandragupta Maurya, Raja Raja Chola, the authors of literary works like the Meghadootam, and other significant time periods, places, and people from Indian history.
Lady Gaga has had immense success in her career through savvy marketing and connecting with fans. The document outlines 10 ways Lady Gaga has been a marketing genius, such as leveraging social media to engage with fans directly, giving fans a symbol to connect over, producing high quality music, and having a clear purpose and message in all her work. Overall, the key to her approach is being fearless in engaging authentically with fans and standing out from other artists.
The document contains predictions from various experts about trends in content marketing in 2014. Some key predictions include: short-form video, images and GIFs will see higher engagement than long-form content; the strategies behind paid, owned and earned content will continue to merge; more brands will hire chief content officers; and content marketing will be more closely tied to demand generation and measuring results.
The world of SEO as we know it is drastically changing. The rise of content marketing, the new consumer decision journey, and Google's ever-evolving landscape are changing the way we think about search, social, content, and consumers. Check out this look forward into the future of SEO and content marketing.
This document proposes a new block-based adaptive video data hiding method using forbidden zone data hiding (FZDH) and erasure correction capability of RA codes. The proposed method adaptively selects host video blocks and coefficients for data embedding. It uses frame synchronization markers and RA codes to handle errors from block selection. Experimental results show the proposed method using FZDH is more robust to attacks than quantization index modulation, especially at lower distortion levels. The method can be used for real-time video data hiding applications.
A REAL-TIME H.264/AVC ENCODER&DECODER WITH VERTICAL MODE FOR INTRA FRAME AND ...csandit
The video coding standards are being developed to satisfy the requirements of applications for
various purposes, better picture quality, higher coding efficiency, and more error robustness.
The new international video coding standard H.264 /AVC aims at having significant
improvements in coding efficiency, and error robustness in comparison with the previous
standards such as MPEG-2, H261, H263,and H264. Video stream needs to be processed from
several steps in order to encode and decode the video such that it is compressed efficiently with
available limited resources of hardware and software. All advantages and disadvantages of
available algorithms should be known to implement a codec to accomplish final requirement.
The purpose of this project is to implement all basic building blocks of H.264 video encoder and
decoder. The significance of the project is the inclusion of all components required to encode
and decode a video in MatLab .
This document is a synopsis submitted for a degree in bachelor of technology. It describes a project on audio steganography, where a secret message is hidden in a digital audio file. The synopsis includes an introduction describing the objective, benefits and scope of the project. It also includes sections on the encoding and decoding algorithms, flow charts, use case and data flow diagrams, and references.
DATA HIDING IN ENCRYPTED H.264 VIDEO FORMATalphin jose
I-frames, P-frames, and B-frames are the three major picture types or frame types used in video compression algorithms. I-frames are fully specified frames that do not require other frames to decode but are the least compressible. P-frames store only the changes from previous frames and are more compressible than I-frames but require previous frames to decode. B-frames can use both previous and forward frames for reference and achieve the highest compression but require both previous and forward frames to decode. I-frames are used as random access points and references for decoding other frames.
Captcha as graphical passwords a new security primitive based on hard ai prob...IGEEKS TECHNOLOGIES
The document proposes a new security primitive called Captcha as Graphical Passwords (CaRP) that uses hard AI problems from Captcha technology to create a novel graphical password system. CaRP aims to address security issues like online guessing attacks, relay attacks, and shoulder surfing. It can probabilistically thwart automated online guessing even if the password is in the search set. CaRP also aims to solve the "image hotspot" problem in other graphical password systems. The document outlines examples of how CaRP could work and argues that it offers reasonable security and usability for improving online security.
fog computing provide security to the data in cloudpriyanka reddy
Fog computing extends cloud computing by providing security and data processing capabilities at the edge of the network, close to end users and devices. It aims to address issues like high latency and bandwidth usage that can occur when all data processing is done in the cloud. Fog computing deploys computing, storage, and applications closer to end devices and users in order to improve response times for latency-sensitive applications like smart grids and connected vehicles. It creates a distributed network that balances resources between the cloud and edge devices.
This document proposes a new type of graphical password system called CAPTCHA As Graphical Passwords (CaRP) that integrates CAPTCHAs with password authentication. CaRP schemes require users to click on a sequence of visual objects like characters, animals or grid cells in an image to enter their password. This combines the tasks of recognizing CAPTCHA objects and recalling a click-sequence password. CaRP aims to thwart automatic guessing attacks by generating new images for each login attempt. Recognition-based CaRP examples include Click Text and Click Animal, while Animal Grid combines recognition and cued recall. CaRP is resistant to relay attacks and provides stronger security than other graphical passwords by leveraging hard AI problems in CAPT
This document provides an overview and comparison of the H.264 and HEVC video coding standards. It describes the key features and innovations that allow each standard to compress video more efficiently than previous standards. H.264 introduced features like adaptive block sizes, multi-frame prediction, quarter-pixel motion compensation and loop filtering that improved compression performance over prior standards. HEVC aims to further increase compression efficiency through innovations such as larger coding tree blocks, additional intra-prediction modes, and improved entropy coding. The document analyzes these standards to understand how their new coding tools enable significantly higher compression ratios and support for new applications like higher resolution video.
Fog computing provide security to data in cloud pptpriyanka reddy
This document discusses fog computing and a proposed system to improve security of data stored in the cloud. It proposes using decoy technology to monitor for abnormal access patterns and generate fake documents to confuse attackers. The system would profile user behavior to validate authorized access and deploy decoys when abnormal access is detected. This helps prevent attackers from distinguishing real user data from fake data.
The document discusses the evolution of marketing from Marketing 1.0 to Marketing 3.0. Marketing 1.0 was product-centric, while Marketing 2.0 became consumer-centric. Marketing 3.0 focuses on meeting consumers' emotional and rational needs by prioritizing engagement, collaboration, and building brand credibility through trust, authenticity and transparency. Some marketers still rely on outdated metrics like impressions and reach, but Marketing 3.0 requires understanding social media influencers and adapting to the increased power of consumers online.
The document provides an overview of steganography, including its definition, history, techniques, applications, and future scope. It discusses different types of steganography such as text, image, and audio steganography. For image steganography, it describes techniques such as LSB insertion and compares image and transform domain methods. It also provides examples of steganography tools and their usage for confidential communication and data protection.
The document discusses the marketing mix, also known as the 4Ps of marketing. It begins by explaining the origins of the term "marketing mix," which was first coined in 1953 and further developed in 1960 to describe the four broad categories of product, price, place, and promotion. These four elements, known as the 4Ps, make up the basic components of a marketing plan. The document then provides details on each of the 4Ps, describing what is involved in product, price, place, and promotion decisions for a company's marketing strategy. It notes that while the 4Ps framework was originally developed in the 1960s, it remains the foundation of analyzing a company's marketing mix today.
Now knowledge pre-processing, model and reasoning issues, power metrics, quality
issues, post-processing of discovered structures, isualization, and on-line change is best challenge.
In this paper Neural Network based forecasting of stock prices of selected sectors under Bombay
Stock Exchange show that neural networks have the power to predict prices albeit the volatility in the
markets[9]. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform “intelligent" tasks similar to those performed by the human brain. Artificial Neural Networks are being counted as the wave of the future in computing. They are indeed self-learning mechanisms which don’t require the traditional skills of a
programmer. Back propagation is one of the approaches to implement concept of neural networks. Back propagation is a form of supervised learning for multi-layer nets. Error data at the output layer is back propagated to earlier ones, allowing incoming weights to these layers to be updated. It is most often used as training algorithm in current neural network applications. In this paper, we apply data
mining technology to stock market in order to research the trend of price; it aims to predict the future trend of the stock market and the fluctuation of price. This paper points out the shortage that exists in current traditional statistical analysis in the stock, then makes use of BP neural network algorithm to predict the stock market by establishing a three-tier structure of the neural network, namely input layer, hidden layer and output layer. Finally, we get a better predictive model to improve forecast accuracy.
Data-Driven Marketing And Sales Predictions 2014 - Lattice EnginesLattice Engines
Sales and marketing professionals will become more data-driven in 2014 by:
1) Using customer insights and data about buyers' journeys to shorten sales cycles by 20% according to one prediction.
2) Modeling B2B sales and marketing after B2C by providing customers instant, real-time responses and value as consumers now demand from companies.
3) Leveraging data and analytics to develop deeper, role-specific customer understandings and insights to drive targeted conversations.
Best practice in sales and marketing alignment B2B Marketing
The B2B marketing world has changed dramatically. Today's marketer must be technically proficient, possess strong analytical skills and be innovative in their approach to aligning effectively with their sales counterparts. They must determine how they will increase demand creation through effective lead generation, inbound marketing and more impactful sales enablement with the sales organisation.
In his keynote, John Neeson will review five best practice strategies that are leveraged by high growth organisations for better alignment and effectiveness. Specifically, he will address the following:
•A best practice demand creation framework
•Strategies that best practice organisations are using to effectively align marketing and sales
•A marketing model for inbound, outbound and sales driven demand creation
•Best practice demand creation for the channel
•Identification of buying cycle phases and alignment of marketing activities and budget according to sales requirements in each phase.
The document is a 20 question Indian history quiz covering various empires, rulers, and events from ancient and medieval India. It includes multiple choice and fill-in-the-blank questions testing knowledge of important figures like Chandragupta Maurya, Raja Raja Chola, the authors of literary works like the Meghadootam, and other significant time periods, places, and people from Indian history.
Lady Gaga has had immense success in her career through savvy marketing and connecting with fans. The document outlines 10 ways Lady Gaga has been a marketing genius, such as leveraging social media to engage with fans directly, giving fans a symbol to connect over, producing high quality music, and having a clear purpose and message in all her work. Overall, the key to her approach is being fearless in engaging authentically with fans and standing out from other artists.
The document contains predictions from various experts about trends in content marketing in 2014. Some key predictions include: short-form video, images and GIFs will see higher engagement than long-form content; the strategies behind paid, owned and earned content will continue to merge; more brands will hire chief content officers; and content marketing will be more closely tied to demand generation and measuring results.
The world of SEO as we know it is drastically changing. The rise of content marketing, the new consumer decision journey, and Google's ever-evolving landscape are changing the way we think about search, social, content, and consumers. Check out this look forward into the future of SEO and content marketing.
This document proposes a new block-based adaptive video data hiding method using forbidden zone data hiding (FZDH) and erasure correction capability of RA codes. The proposed method adaptively selects host video blocks and coefficients for data embedding. It uses frame synchronization markers and RA codes to handle errors from block selection. Experimental results show the proposed method using FZDH is more robust to attacks than quantization index modulation, especially at lower distortion levels. The method can be used for real-time video data hiding applications.
A REAL-TIME H.264/AVC ENCODER&DECODER WITH VERTICAL MODE FOR INTRA FRAME AND ...csandit
The video coding standards are being developed to satisfy the requirements of applications for
various purposes, better picture quality, higher coding efficiency, and more error robustness.
The new international video coding standard H.264 /AVC aims at having significant
improvements in coding efficiency, and error robustness in comparison with the previous
standards such as MPEG-2, H261, H263,and H264. Video stream needs to be processed from
several steps in order to encode and decode the video such that it is compressed efficiently with
available limited resources of hardware and software. All advantages and disadvantages of
available algorithms should be known to implement a codec to accomplish final requirement.
The purpose of this project is to implement all basic building blocks of H.264 video encoder and
decoder. The significance of the project is the inclusion of all components required to encode
and decode a video in MatLab .
Enabling data integrity protection in regenerating coding-based cloud storage...Papitha Velumani
The document proposes a data integrity protection (DIP) scheme for regenerating-coding-based cloud storage. It augments regenerating codes with cryptographic techniques to allow clients to remotely verify the integrity of random subsets of outsourced data. This addresses vulnerabilities in traditional cloud storage models where data can be corrupted accidentally or maliciously. The proposed FMSR-DIP codes preserve fault tolerance, efficient repair traffic, and add integrity checking abilities while only requiring standard read/write functionalities from servers.
International Refereed Journal of Engineering and Science (IRJES)irjes
International Refereed Journal of Engineering and Science (IRJES) is a leading international journal for publication of new ideas, the state of the art research results and fundamental advances in all aspects of Engineering and Science. IRJES is a open access, peer reviewed international journal with a primary objective to provide the academic community and industry for the submission of half of original research and applications.
JPD1406 Enabling Data Integrity Protection in Regenerating-Coding-Based Clou...chennaijp
We have best 2014 free dot not projects topics are available along with all document, you can easy to find out number of documents for various projects titles.
For More Details:
http://jpinfotech.org/final-year-ieee-projects/2014-ieee-projects/dot-net-projects/
This document summarizes a research paper that presents a scheme called Hydan for steganographically embedding information in x86 program binaries. The scheme defines sets of functionally equivalent instructions and uses a key-derived selection process to encode bits by choosing the appropriate instructions from each set. Testing showed an encoding rate of about 1 bit for every 110 bits of program code. This capacity could be used for watermarking, fingerprinting executables, or encoding a digital signature in the program binaries. The document reviews related work in classical and code steganography and information hiding.
The concept of motion image based wireless monitoring and control system, the main requirements from the M2M communities and related encryption method of the wireless system are described. Section I is the introduction of M2M system, section II is the concept for the scrambling of motion image based video signals with transcendental number that is iterated over Fibonacci prime number sequence, with video time stamp and user pass phrase ...
Securing the digital landscape is paramount in our interconnected world. This abstract delves into the fundamentals of cyber security, exploring its vital role in safeguarding individuals, organizations, and nations against the pervasive threat of cybercrime. It examines the evolving challenges posed by cyber threats, from sophisticated attacks to emerging vulnerabilities, while elucidating practical strategies to mitigate risks and fortify defenses. Through an exploration of cybercrime's multifaceted nature, coupled with insights into the latest antivirus and firewall technologies, this abstract equips readers with essential knowledge to navigate the digital realm safely and responsibly.
In today's interconnected world, the protection of digital assets is paramount. This abstract serves as a deep dive into the foundational principles and advanced strategies of cyber security, illuminating its indispensable role in safeguarding individuals, organizations, and nations against the ever-looming specter of cybercrime. Beginning with an exploration of cyber security's core tenets, including confidentiality, integrity, and availability, readers are introduced to the fundamental principles that underpin effective defense strategies. Through insightful analysis and real-world examples, the abstract highlights the critical importance of maintaining these principles in the face of evolving cyber threats.
Image Compression Using Intra Prediction of H.264/AVC and Implement of Hiding...ijsrd.com
The current still image compression technique lacks the required level of standardization and still have something can be improve according to compression rate, computation, and so on. This paper employs the technique of H.264/MPEG-4 Advanced Video Coding to improve still image compression. The H.264/MPEG-4 standard promises much higher compression and quality compared to other existing standard, such as MPEG-4 and H.263. This paper utilizes the intra prediction approach of H.264/AVC and Huffman coding to improve the compression rate. Each 4x4 block is predicted by choosing the best mode out of the 9 different modes. The best prediction mode is selected by SAE (Sum of Absolute Error) method. Also this paper deals with an image hiding algorithm based on singular value decomposition algorithm. This paper propose a data hiding algorithm, applying on encoded bit-stream. Before embedding the secret image into cover image, the residue of the cover image is first calculated and encoded using Huffman coding. At the decoder side the secret image is extracted and the cover image is reconstructed with sufficient peak signal to noise ratio.
An Efficient Code-word Substitution Method for Data Embedding Technique in Encrypted H.264/AVC Video Streams Anisha Jose – PG Scholar,
Anu K Kuriakose – Assistant Professor,
Department of Electronics and Communication,
Federal Institute of Science and Technology, Ernakulam, India
The document proposes protocols for secure launch of virtual machines (VMs) in Infrastructure as a Service (IaaS) clouds. This would provide cloud tenants assurance that their VM instances were launched on hosts with expected software stacks. Currently, cloud tenants have limited control over security mechanisms and lack symbols confirming the integrity of their VM hosts. The proposed protocols aim to address this by verifying platform integrity for hosts and giving tenants symbols of expected code stacks for their launched VMs.
IRJET - Information Hiding in H.264/AVC using Digital WatermarkingIRJET Journal
This document summarizes information hiding methods for compressed video, specifically focusing on the H.264 video compression standard. It first discusses the general framework of information hiding and data representation schemes. It then identifies possible venues for information hiding within the H.264 coding structure, such as the prediction process, transformation, quantization, and entropy coding. The document reviews related information hiding methods for each venue and presents applications. It also provides a timeline of information hiding method development and compares methods based on factors like payload, video quality, and complexity. Finally, it presents perspectives on current trends and opportunities in information hiding for compressed video.
This document describes a project to design an H.264 video decoder using Verilog. It implements the key decoding blocks like Context-Based Adaptive Binary Arithmetic Coding (CABAC), inverse quantization, and inverse discrete cosine transform. CABAC is the entropy decoding method used in H.264 that is computationally intensive. The project develops hardware modules for these blocks to accelerate decoding and enable real-time performance. It presents the designs of the individual modules and simulation results showing their functionality. The goal is to improve on software implementations by using dedicated hardware for the critical decoding stages.
S.A.kalaiselvan- robust video data hiding at forbidden zonekalaiselvanresearch
This document summarizes a proposed video data hiding method that uses selective embedding and error correction coding to make the data hiding robust against attacks. The method uses forbidden zone data hiding to embed data in selected DCT coefficients of video frames. Adaptive coefficient selection is used to determine the best coefficients for embedding. Repeat accumulate codes are then used to encode the data bits and provide error correction against desynchronization caused by selective embedding or attacks. Frame synchronization markers are also embedded to detect attacks like frame dropping. The proposed method was found to successfully embed data in video and withstand various attacks through simulation tests.
This document contains a summary of Ameya Kasbekar's experience and qualifications. He currently works as a Senior Software Engineer at Qualcomm Technologies Inc, where he has designed and developed modem algorithms and supported commercialization of new chipsets over 9 years. Previously, he worked as a Software Engineer at Infosys Technologies Ltd and in system administration at Clemson University. He has a Master's degree in Computer Science from Clemson University and a Bachelor's degree in Computer Engineering.
This document proposes a secure communication framework for embedded networking. The framework aims to be platform neutral and hardware independent. It incorporates a secured database containing all possible system events. Embedded systems can authenticate and access this database. The framework also protects the communication channel by encrypting transmissions, secure handshaking, and using self-adaptive frame structures. It references event indexes from the database rather than transmitting actual information. The database is dynamically recreated on each power-on to change event indexes and improve security. The framework is designed to be easily implemented using proven security technologies while providing modest protection for embedded network devices.
The proposed scheme embedded the watermark during the differential pulse code modulation process and extracted through decoding the entropy details. This technique utilize the moving picture expert groups standard (MPEG-2) in which discrete cosine transform coefficients are adjusted from selected instantaneous decoder refresh frames for watermarking purpose. The subsets of frames as candidate I-frames are chosen to achieve better perceptibility and robustness. A secret key based cryptographic technique is used to select the candidate frames. Three more keys are required to extract the watermark whereas one of the key is used to stop the extraction process and the remaining two are used to display the scrambled watermark. The toughness is evaluated by testing spatial and temporal synchronization attacks. High sturdiness is achieved against video specific attacks frequently occurs in the real world. Even a single frame can accommodate thousand of watermark bits which reflect that high watermark capacity can be obtained.
The document proposes enhancing security in video communication through visual cryptography and firefly optimization. Key points:
- The approach uses visual cryptography to hide a watermark in selected video frames. Frames are selected using a threshold determined by the firefly optimization algorithm.
- The watermark is embedded into frames using reversible data hiding. The embedded watermark can then be extracted after attacks and has minimum distortion.
- The goals are to achieve high security, accommodate high capacity data, and recover data with minimum distortion compared to other reversible data hiding techniques.
Cloud computing moves application software and databases to large data centers where management may not be fully trustworthy, posing security challenges. The article focuses on cloud data storage security and proposes a scheme using erasure-coded data with distributed verification and error localization to identify misbehaving servers. Unlike prior works, the scheme supports secure dynamic operations like update, delete and append. Extensive analysis shows it efficiently protects against attacks while supporting data dependencies and dynamics.
Similar to Robust video data hiding using forbidden zone data hiding and selective embedding (20)
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Robust video data hiding using forbidden zone data hiding and selective embedding
1. ROBUST VIDEO DATA
HIDING USING
FORBIDDEN ZONE DATA
HIDING AND SELECTIVE
EMBEDDING
Under the guidance of:
Prof. Rekha Patil
Team members:
Geeta S Savalgi
Pooja Lakha
Pooja S Patil
2. WHAT IS DATA SECURITY?
Protecting a database from
destructive forces and the
unwanted actions of
unauthorized users.
INTRODUCTION
4. DATA HIDING
It is the process of embedding information into a host medium.
FORBIDDEN ZONE
It is defined as the host signal range where no alteration is allowed
during data hiding process.
SELECTIVE EMBEDDING
Here host signal samples, which will be used in data hiding, are
determined adaptively. The selection is performed at four stages:
Frame selection, frequency band determination, block selection and
coefficient selection.
KEY TERMS USED IN PROJECT
5. To achieve efficient data hiding in video sequence.
To utilize systematic RA Codes to encode message
bits and frame bits.
To allow handling de-synchronization between
embedder and decoder.
To achieve certain level of robustness against frame
drop, repeat and insertion attacks.
To use 3-D interleaving.
ISSUES AND CHALLENGES
6. Successfully utilized in video data hiding
applications.
Tamper detection in digital videos can be
performed efficiently.
It is used in fragile applications such as
authentication.
It provides excess control, copy control in DVD’s.
Widely suitable for broader range of application.
APPLICATIONS
7. The necessity for practical higher dimensional
data hiding codes.
Adjusting trade-off between robustness(channel
code) and imperceptibility(source) by practical
means.
Design of end-to-end real-life visual applications.
MOTIVATIONS
8. During video data hiding the quality of the image
cannot be preserved.
They cannot survive any format conversion or
transcoding, without any significant loss of perceptual
quality.
Efficiently hide data in video and to preserve the
quality from the external attacks.
PROBLEM STATEMENT
9. A new block based data hiding method which makes
use of erasure correction capability of repeat
accumulates codes.
Uses superiority of forbidden zone for low embedding
distortion levels.
Robust to frame manipulation attacks via frame
synchronization markers.
SCOPE OF WORK
10. The goal of the design process is to
produce a model of a system which can be
used later to build that system and use this
model to build the overall system.
DESIGN
11. Parallel decoders are used to correct de-sync.
The video data hiding methods utilize uncompressed video
data where insertions and erasures occur at decoder, causing
de-sync.
Multiple hronization errors.
This scheme is successful only when the number of selected
host signal samples is much less than the total number of
host signal samples.
EXISTING SYSTEM
12. ARCHITECTURE of proposed
system
EMBED
MESSAGE DATA FILE
OUTPUT FILE
MASTER FILE
ENCODEDVIDEO
COMPRESSION AND ENCRYPTION
DECODE
UNCOMPRESSION DECRYPTION
COMPRESSION AND
ENCRYPTION CHECK
ENCODEDVIDEO
RECEIVED
DECODED FILE
MESSAGE OR DATA FILE
SENDER
RECEIVER
15. Implementation is the stage of the project when the
theoretical design is turned out into a working system.
The implementation stage involves careful planning,
investigation of the existing system and it’s constraints.
IMPLEMENTATION
16. Frame selection is performed and the selected
frames are processed block-wise.
The selection is performed at four stages:
Frame selection
Frequency band determination
Block selection
Coefficient selection
ENCRYPTION MODULE
17. Let fcur and fpre denote the current and previous
frame indices
fcur > T, then skip this frame.
If fcur = fpre, then skip this frame.
Otherwise, process the current frame.
fcur< fpre, then the end of the group of frames is
reached.
DECRYPTION MODULE
18. System flow diagram
System flow
Embed data
Spread frames
Actual video
User give input Msg or data as Data embedded video
input
Spread a video Encrypted video
Decrypt a video View original data or
msg
Encryption
Decryption
24. New video data hiding framework that makes use of erasure
correction capability of RA codes and superiority of FZDH.
It robust to frame manipulation attacks via frame
synchronization markers.
Typical system parameter are reported for error-free decoding.
The results indicate that the framework can be successfully
utilized in video data hiding applications.
User cannot find the original data.
It increases the security.
Conclusion
25. Incorporation of human visual system based spatio
temporal adaption of data hiding method
parameters.
New multilevel embedding technique .
Increase block size to embed more data.
Improve commercialization.
FUTURE WORK