This document summarizes a study on using watermarking and security techniques for image broadcast. The study embeds a unique user ID watermark into images before distributing them in order to identify the source of any pirated images. The watermark is generated based on the user's encrypted ID and different keys are used for different users. When a pirated image is found, the watermark can be extracted to reveal the ID of the leaking user. The document describes the watermark embedding and extraction procedures and presents experimental results demonstrating the system's ability to extract watermarks after various image processing attacks.
Today piracy is one of the most important issues that the owners of multimedia contents are facing now. So
it becomes necessary to protect the copyright of digital media. The new technology proposed to solve the “problem”
of enforcing the copyright of content transmitted across shared networks is Invisible Digital Watermark. It is a
technique of steganography that allow a copyright holder to insert a hidden message (invisible watermark) within
images, sound files, moving pictures and even raw text. To watermark a video it is divided into frames then extract
each bit of a frame and modify it with reference to original RGB value to embed a watermark in it. The location of
the embedded text is maintained as a key file and the frames are integrated as a video again. The slight changes in
RGB value scattered across the frame makes it impossible to visibly detect the difference when compared to original
video. To detect the piracy of video using the key file the copyright information is extracted from the watermarked
data. From the copyright information it is possible to find the source of piracy and thus necessary action can be
taken.
Keywords — hacking, authentication, cryptography, steganography, copyright.
The document discusses digital watermarking. It begins by defining digital watermarking as a process that embeds various types of information into digital content in order to protect copyrights and validate data. It then discusses the need for digital watermarking due to the ease of copying digital content. The summary concludes with an overview of the different types of digital watermarks and their applications.
Digital watermarking involves embedding a hidden signal or watermark into digital content like images, audio or video. It can be used for copyright protection, content authentication and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking, color separation and bit stream watermarking. Digital watermarking faces attacks from techniques like Stirmark and mosaic attacks but continues to be an effective method for protecting digital multimedia content and verifying its authenticity.
The document discusses digital watermarking, which involves embedding invisible copyright information into digital media like images, video, and audio. It can serve as a supplementary technique to encryption to help address challenges of protecting intellectual property in the digital age. The summary provides an overview of digital watermarking technology and classifications of watermarks, distinguishing visible watermarks meant to identify owners from invisible watermarks that are imperceptible but can still embed copyright details. The goal is to make watermarks robust against modifications while keeping them invisible or inaudible to humans.
This document summarizes a research paper that proposes a fragile watermarking technique for image authentication using a hierarchical mechanism. The technique embeds watermark data at both the pixel and block levels of an image. At the receiver end, tampered blocks can first be identified using block-level watermarks. Then pixel-level watermarks in untampered blocks are used to precisely locate any tampered pixels. The technique aims to accurately locate tampered regions even if a large area is modified, and also allows perfect restoration of the original watermarked image.
Optical Watermarking Literature survey....Arif Ahmed
1. The document discusses optical watermarking, a technique for protecting copyright of real-world objects like artwork by embedding watermarks in the illumination of the objects. When photos are taken of the illuminated objects, the watermarks are captured in the digital images and can be extracted.
2. Optical watermarking works by transforming binary data into patterns of light projected onto objects. The patterns differ based on 1s and 0s in the data. When photos of the illuminated objects are taken, the patterns can be read from the captured images. Visible light is used with fine or low-contrast patterns to make the watermarks imperceptible.
3. Optical watermarking provides copyright protection for valuable
This document summarizes a student project on reversible data hiding techniques. The project compares different reversible watermarking methods and proposes a new technique that embeds a secret bitstream into a color image using bisection and square root interpolation. Experimental results showed the embedded and extracted bitstreams had a correlation of 1, indicating no data loss. Future work could improve the algorithm security by using multiple color planes and transformations for watermarking.
Today piracy is one of the most important issues that the owners of multimedia contents are facing now. So
it becomes necessary to protect the copyright of digital media. The new technology proposed to solve the “problem”
of enforcing the copyright of content transmitted across shared networks is Invisible Digital Watermark. It is a
technique of steganography that allow a copyright holder to insert a hidden message (invisible watermark) within
images, sound files, moving pictures and even raw text. To watermark a video it is divided into frames then extract
each bit of a frame and modify it with reference to original RGB value to embed a watermark in it. The location of
the embedded text is maintained as a key file and the frames are integrated as a video again. The slight changes in
RGB value scattered across the frame makes it impossible to visibly detect the difference when compared to original
video. To detect the piracy of video using the key file the copyright information is extracted from the watermarked
data. From the copyright information it is possible to find the source of piracy and thus necessary action can be
taken.
Keywords — hacking, authentication, cryptography, steganography, copyright.
The document discusses digital watermarking. It begins by defining digital watermarking as a process that embeds various types of information into digital content in order to protect copyrights and validate data. It then discusses the need for digital watermarking due to the ease of copying digital content. The summary concludes with an overview of the different types of digital watermarks and their applications.
Digital watermarking involves embedding a hidden signal or watermark into digital content like images, audio or video. It can be used for copyright protection, content authentication and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking, color separation and bit stream watermarking. Digital watermarking faces attacks from techniques like Stirmark and mosaic attacks but continues to be an effective method for protecting digital multimedia content and verifying its authenticity.
The document discusses digital watermarking, which involves embedding invisible copyright information into digital media like images, video, and audio. It can serve as a supplementary technique to encryption to help address challenges of protecting intellectual property in the digital age. The summary provides an overview of digital watermarking technology and classifications of watermarks, distinguishing visible watermarks meant to identify owners from invisible watermarks that are imperceptible but can still embed copyright details. The goal is to make watermarks robust against modifications while keeping them invisible or inaudible to humans.
This document summarizes a research paper that proposes a fragile watermarking technique for image authentication using a hierarchical mechanism. The technique embeds watermark data at both the pixel and block levels of an image. At the receiver end, tampered blocks can first be identified using block-level watermarks. Then pixel-level watermarks in untampered blocks are used to precisely locate any tampered pixels. The technique aims to accurately locate tampered regions even if a large area is modified, and also allows perfect restoration of the original watermarked image.
Optical Watermarking Literature survey....Arif Ahmed
1. The document discusses optical watermarking, a technique for protecting copyright of real-world objects like artwork by embedding watermarks in the illumination of the objects. When photos are taken of the illuminated objects, the watermarks are captured in the digital images and can be extracted.
2. Optical watermarking works by transforming binary data into patterns of light projected onto objects. The patterns differ based on 1s and 0s in the data. When photos of the illuminated objects are taken, the patterns can be read from the captured images. Visible light is used with fine or low-contrast patterns to make the watermarks imperceptible.
3. Optical watermarking provides copyright protection for valuable
This document summarizes a student project on reversible data hiding techniques. The project compares different reversible watermarking methods and proposes a new technique that embeds a secret bitstream into a color image using bisection and square root interpolation. Experimental results showed the embedded and extracted bitstreams had a correlation of 1, indicating no data loss. Future work could improve the algorithm security by using multiple color planes and transformations for watermarking.
Annotating Microblog Posts with Sensor Data for Emergency Reporting ApplicationsDavid Crowley
This document discusses annotating microblog posts with sensor data from smartphones for emergency reporting applications. It describes using sensors like GPS, accelerometers and microphones to provide context like location, activity and noise levels to tweets. The goal is to develop a semantic microblogging app that can attach this sensor metadata to tweets in emergencies, providing more useful information to emergency teams while addressing challenges around privacy, data quality and usability. Future work involves building and evaluating a prototype mobile app to collect and model sensor data from tweets.
Digital watermarking involves imperceptibly embedding a watermark signal into digital content like images, video or audio. It can be used for copyright protection, content authentication, and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking and color separation. Digital watermarking has applications in copyright protection, online music industry, and news gathering using digital cameras.
This document compares watermarking and cryptography. It discusses that watermarking involves hiding secret information in digital images while cryptography transforms information into an unreadable format. Watermarking provides security and an extra layer of authentication while cryptography focuses on protecting the meaning of documents. The document also outlines some advantages and disadvantages of each technique such as watermarking being more resistant to attacks but cryptography providing better security through encryption.
Digital watermarking is a technique for hiding copyright information in digital content such as images, audio and video. A digital watermark is imperceptibly embedded in the digital content and can be extracted or detected to prove ownership. There are two main types of watermarks - visible watermarks that can be seen and invisible watermarks that cannot be seen by the human eye. Watermarking techniques include spatial domain and frequency domain methods. The Fast Hadamard Transform is commonly used for digital image watermarking as it allows for faster processing times and robust watermarks. The watermarking process involves embedding, attacks on the watermarked content, and detection of the watermark.
Digital image watermarking is a technique to hide information (the watermark) within an image. It can be used for identification, authentication, and copyright protection. There are different domains to embed watermarks, including the spatial, wavelet, and frequency domains. The watermark is imperceptible, robust, inseparable from the image, and provides security. Watermarks can be extracted from the watermarked image after embedding.
This document provides a survey of digital image watermarking techniques. It begins with an introduction to digital watermarking and describes the basic watermarking process. It then discusses the main requirements of image watermarking, including transparency, robustness, and capacity. Various applications of watermarking are outlined, such as copyright protection and tamper detection. The document proceeds to classify watermarking techniques based on the domain in which data is embedded, such as the spatial domain and transform domains like DCT, DWT, and DFT. A detailed survey of DCT-based watermarking algorithms is provided, categorizing approaches based on whether they use no, implicit, or explicit perceptual modeling.
This document discusses using biometric watermarking for information security. It proposes a method of securing biometric information like face images with watermarking and a secret key. The biometric information is watermarked with an iris image and secret key. This allows secure transmission of information that can only be recovered by the receiver if they know the secret key and watermarked image. It concludes biometric-based identification combined with watermarking and steganography improves security against unauthorized access. Future work could use multiple biometrics and codes together to further enhance security.
The document discusses watermarking, including its history and different types. It defines watermarking as a recognizable image or pattern embedded in paper or a digital signal inserted into digital content to carry ownership information. The summary describes visible watermarking, which embeds visible logos or text, and invisible watermarking, which makes imperceptible changes to encode data. It also classifies watermarking as either text-based, image-based, or audio/video-based and discusses example watermarking techniques and applications for copyright protection.
Digital watermarking knowledge is a leading edge research field and it mainly focuses on the
intellectual property rights, hides data and embedded inside an image to show authenticity or proof
of ownership, discovery and authentication of the digital media to protect the important documents.
Digital watermarking can help to verify ownership, to recognize a misappropriate person and find the
marked documents. One of the significant technological actions of the last two decades was the
attack of digital media in a complete range of everyday life aspects.
Digital data can be stored efficiently with a very high quality and it can be manipulated very
easily using computers. In addition digital data can be transmitted in a fast and inexpensive way
through data communication networks without losing quality. According to the necessary study of
digital image watermarking, the digital watermarking model consists of two modules, which are
watermark embedding module and watermark extraction and detection module.
Digital watermarks are embedded signals or patterns inserted into digital media like text, images, or video that carry copyright information. There are various techniques for watermarking different types of media. Watermarking leaves the original file intact while encryption transforms the file contents. Popular watermarking applications include ownership assertion, fingerprinting to trace copies, authentication and integrity verification, content labeling, usage control, and content protection with visible watermarks. Watermarks should be detectable, unambiguous, and robust against attacks. Text watermarking alters spacing, images can modify pixel values in spatial or frequency domains, and checksum techniques embed a checksum in pixel bits. However, early watermarking schemes provided only limited protection against removal or forgery.
The document summarizes a proposed method for authenticating grayscale images using visual cryptographic techniques and secret sharing. The method embeds a watermark into the original grayscale image for authentication purposes. It then divides the watermarked image into shares using Shamir's secret sharing scheme. To authenticate the image, the shares are reconstructed using the reverse secret sharing scheme to obtain the original watermarked image. The watermark is then extracted from the reconstructed image to check authenticity. The document provides background on digital watermarking, secret sharing, and describes the proposed authentication method in detail.
This document is a seminar report submitted by Ope Sinzu to the Department of Computer Science at Enugu State University of Science and Technology in partial fulfillment of the requirements for a Bachelor of Science degree in Computer Science. The report discusses digital watermarking, including acknowledging those who helped with the report, providing an abstract that explains digital watermarking techniques are used for security purposes like copyright protection. It then discusses the introduction, background, objectives, significance, scope, constraints, and organization of the report.
Lsb hiding using random approach for image watermarkingeSAT Journals
Abstract A digital image watermarking is the process of embedding an image with a secondary parameter called watermark, without deterioration in the quality of image to provide copyright protection means to provide protection for intellectual property from illegal copying. In this paper the method of nested digital image watermarking is used that means a watermark inside another watermark embedded into the cover image that is the main image. Here the Randomized LSB hiding algorithm is used for embedding one image into another as it has lesser complexity and the approach is more robust to the variations in the type of image. The blowfish algorithm is used to encrypt the watermark image before embedding into the cover image. The concept of encryption of watermark image before get embedded into the main image is used here to increase the security of the watermark image. This is because the research work is mainly focus on to get the more secured watermark by improving and enhancing the embedding capacity. Key Words: Digital image Watermarking, Randomized LSB, Blowfish, Copyright Protection
This document discusses a randomized LSB hiding approach for nested digital image watermarking. It proposes encrypting one watermark image using Blowfish before embedding it into another watermark image using randomized LSB hiding. This nested watermark is then encrypted again using Blowfish before being embedded into the cover image for increased security. Randomized LSB hiding is used for embedding as it has lower complexity and is more robust than direct LSB hiding. The approach aims to improve security and embedding capacity for copyright protection of digital images.
The document provides an overview of digital watermarking. It defines watermarking as imperceptibly altering a work to embed a message about the work. The document outlines the history of watermarking and discusses its applications, including owner identification, proof of ownership, broadcast monitoring, transaction tracking, and content authentication. It also compares watermarking to other techniques like cryptography and discusses the importance of digital watermarking for copyright protection in the digital age.
Digital watermarking involves hiding digital information in carrier signals like audio, video, and images. Watermarks can be used to verify authenticity and identify copyright owners. They are mostly invisible but can be detected using algorithms. Various techniques are used for different purposes like copyright protection, source tracking, and tamper detection. Watermarking provides passive protection by marking data without degrading it or controlling access.
This document summarizes a research paper that proposes a two-factor authentication system for online transactions using mobile phones. The system generates one-time passwords (OTPs) using a secret key shared between the server and mobile phone. When users log in, the server sends an OTP as an SMS to their mobile phone. They must enter both their password and the OTP to authenticate. This adds an extra layer of security beyond a single static password by requiring possession of the mobile phone in addition to password knowledge. The system aims to reduce fraud while being easy for users without extra hardware.
The document discusses micro-cantilever sensors and their application for detecting pesticide contents in water. Micro-cantilever sensors are highly sensitive nanomechanical devices that can detect small mass changes or surface stress variations. They have been used to detect a variety of biomolecules and chemicals. The document proposes using micro-cantilever sensors to detect pesticide levels in water sources in Punjab, India, where excessive pesticide use has contaminated water supplies and increased cancer rates. Micro-cantilevers could provide a sensitive method for monitoring pesticide contents and addressing related health and environmental issues in the region.
This document proposes an efficient keyword searching technique (EKST) for encrypted data stored in cloud computing environments. EKST allows for fuzzy keyword searches that tolerate minor typos or inconsistencies. It does this by constructing fuzzy keyword sets for predefined keywords that include variations within a certain edit distance. EKST then designs an efficient search approach based on these fuzzy keyword sets to securely retrieve matching encrypted files from the cloud server while revealing minimal information. The document outlines the problem formulation, related work, and proposes techniques like wildcard-based construction of fuzzy keyword sets to improve storage efficiency and search performance for fuzzy keyword search over encrypted cloud data.
Annotating Microblog Posts with Sensor Data for Emergency Reporting ApplicationsDavid Crowley
This document discusses annotating microblog posts with sensor data from smartphones for emergency reporting applications. It describes using sensors like GPS, accelerometers and microphones to provide context like location, activity and noise levels to tweets. The goal is to develop a semantic microblogging app that can attach this sensor metadata to tweets in emergencies, providing more useful information to emergency teams while addressing challenges around privacy, data quality and usability. Future work involves building and evaluating a prototype mobile app to collect and model sensor data from tweets.
Digital watermarking involves imperceptibly embedding a watermark signal into digital content like images, video or audio. It can be used for copyright protection, content authentication, and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking and color separation. Digital watermarking has applications in copyright protection, online music industry, and news gathering using digital cameras.
This document compares watermarking and cryptography. It discusses that watermarking involves hiding secret information in digital images while cryptography transforms information into an unreadable format. Watermarking provides security and an extra layer of authentication while cryptography focuses on protecting the meaning of documents. The document also outlines some advantages and disadvantages of each technique such as watermarking being more resistant to attacks but cryptography providing better security through encryption.
Digital watermarking is a technique for hiding copyright information in digital content such as images, audio and video. A digital watermark is imperceptibly embedded in the digital content and can be extracted or detected to prove ownership. There are two main types of watermarks - visible watermarks that can be seen and invisible watermarks that cannot be seen by the human eye. Watermarking techniques include spatial domain and frequency domain methods. The Fast Hadamard Transform is commonly used for digital image watermarking as it allows for faster processing times and robust watermarks. The watermarking process involves embedding, attacks on the watermarked content, and detection of the watermark.
Digital image watermarking is a technique to hide information (the watermark) within an image. It can be used for identification, authentication, and copyright protection. There are different domains to embed watermarks, including the spatial, wavelet, and frequency domains. The watermark is imperceptible, robust, inseparable from the image, and provides security. Watermarks can be extracted from the watermarked image after embedding.
This document provides a survey of digital image watermarking techniques. It begins with an introduction to digital watermarking and describes the basic watermarking process. It then discusses the main requirements of image watermarking, including transparency, robustness, and capacity. Various applications of watermarking are outlined, such as copyright protection and tamper detection. The document proceeds to classify watermarking techniques based on the domain in which data is embedded, such as the spatial domain and transform domains like DCT, DWT, and DFT. A detailed survey of DCT-based watermarking algorithms is provided, categorizing approaches based on whether they use no, implicit, or explicit perceptual modeling.
This document discusses using biometric watermarking for information security. It proposes a method of securing biometric information like face images with watermarking and a secret key. The biometric information is watermarked with an iris image and secret key. This allows secure transmission of information that can only be recovered by the receiver if they know the secret key and watermarked image. It concludes biometric-based identification combined with watermarking and steganography improves security against unauthorized access. Future work could use multiple biometrics and codes together to further enhance security.
The document discusses watermarking, including its history and different types. It defines watermarking as a recognizable image or pattern embedded in paper or a digital signal inserted into digital content to carry ownership information. The summary describes visible watermarking, which embeds visible logos or text, and invisible watermarking, which makes imperceptible changes to encode data. It also classifies watermarking as either text-based, image-based, or audio/video-based and discusses example watermarking techniques and applications for copyright protection.
Digital watermarking knowledge is a leading edge research field and it mainly focuses on the
intellectual property rights, hides data and embedded inside an image to show authenticity or proof
of ownership, discovery and authentication of the digital media to protect the important documents.
Digital watermarking can help to verify ownership, to recognize a misappropriate person and find the
marked documents. One of the significant technological actions of the last two decades was the
attack of digital media in a complete range of everyday life aspects.
Digital data can be stored efficiently with a very high quality and it can be manipulated very
easily using computers. In addition digital data can be transmitted in a fast and inexpensive way
through data communication networks without losing quality. According to the necessary study of
digital image watermarking, the digital watermarking model consists of two modules, which are
watermark embedding module and watermark extraction and detection module.
Digital watermarks are embedded signals or patterns inserted into digital media like text, images, or video that carry copyright information. There are various techniques for watermarking different types of media. Watermarking leaves the original file intact while encryption transforms the file contents. Popular watermarking applications include ownership assertion, fingerprinting to trace copies, authentication and integrity verification, content labeling, usage control, and content protection with visible watermarks. Watermarks should be detectable, unambiguous, and robust against attacks. Text watermarking alters spacing, images can modify pixel values in spatial or frequency domains, and checksum techniques embed a checksum in pixel bits. However, early watermarking schemes provided only limited protection against removal or forgery.
The document summarizes a proposed method for authenticating grayscale images using visual cryptographic techniques and secret sharing. The method embeds a watermark into the original grayscale image for authentication purposes. It then divides the watermarked image into shares using Shamir's secret sharing scheme. To authenticate the image, the shares are reconstructed using the reverse secret sharing scheme to obtain the original watermarked image. The watermark is then extracted from the reconstructed image to check authenticity. The document provides background on digital watermarking, secret sharing, and describes the proposed authentication method in detail.
This document is a seminar report submitted by Ope Sinzu to the Department of Computer Science at Enugu State University of Science and Technology in partial fulfillment of the requirements for a Bachelor of Science degree in Computer Science. The report discusses digital watermarking, including acknowledging those who helped with the report, providing an abstract that explains digital watermarking techniques are used for security purposes like copyright protection. It then discusses the introduction, background, objectives, significance, scope, constraints, and organization of the report.
Lsb hiding using random approach for image watermarkingeSAT Journals
Abstract A digital image watermarking is the process of embedding an image with a secondary parameter called watermark, without deterioration in the quality of image to provide copyright protection means to provide protection for intellectual property from illegal copying. In this paper the method of nested digital image watermarking is used that means a watermark inside another watermark embedded into the cover image that is the main image. Here the Randomized LSB hiding algorithm is used for embedding one image into another as it has lesser complexity and the approach is more robust to the variations in the type of image. The blowfish algorithm is used to encrypt the watermark image before embedding into the cover image. The concept of encryption of watermark image before get embedded into the main image is used here to increase the security of the watermark image. This is because the research work is mainly focus on to get the more secured watermark by improving and enhancing the embedding capacity. Key Words: Digital image Watermarking, Randomized LSB, Blowfish, Copyright Protection
This document discusses a randomized LSB hiding approach for nested digital image watermarking. It proposes encrypting one watermark image using Blowfish before embedding it into another watermark image using randomized LSB hiding. This nested watermark is then encrypted again using Blowfish before being embedded into the cover image for increased security. Randomized LSB hiding is used for embedding as it has lower complexity and is more robust than direct LSB hiding. The approach aims to improve security and embedding capacity for copyright protection of digital images.
The document provides an overview of digital watermarking. It defines watermarking as imperceptibly altering a work to embed a message about the work. The document outlines the history of watermarking and discusses its applications, including owner identification, proof of ownership, broadcast monitoring, transaction tracking, and content authentication. It also compares watermarking to other techniques like cryptography and discusses the importance of digital watermarking for copyright protection in the digital age.
Digital watermarking involves hiding digital information in carrier signals like audio, video, and images. Watermarks can be used to verify authenticity and identify copyright owners. They are mostly invisible but can be detected using algorithms. Various techniques are used for different purposes like copyright protection, source tracking, and tamper detection. Watermarking provides passive protection by marking data without degrading it or controlling access.
This document summarizes a research paper that proposes a two-factor authentication system for online transactions using mobile phones. The system generates one-time passwords (OTPs) using a secret key shared between the server and mobile phone. When users log in, the server sends an OTP as an SMS to their mobile phone. They must enter both their password and the OTP to authenticate. This adds an extra layer of security beyond a single static password by requiring possession of the mobile phone in addition to password knowledge. The system aims to reduce fraud while being easy for users without extra hardware.
The document discusses micro-cantilever sensors and their application for detecting pesticide contents in water. Micro-cantilever sensors are highly sensitive nanomechanical devices that can detect small mass changes or surface stress variations. They have been used to detect a variety of biomolecules and chemicals. The document proposes using micro-cantilever sensors to detect pesticide levels in water sources in Punjab, India, where excessive pesticide use has contaminated water supplies and increased cancer rates. Micro-cantilevers could provide a sensitive method for monitoring pesticide contents and addressing related health and environmental issues in the region.
This document proposes an efficient keyword searching technique (EKST) for encrypted data stored in cloud computing environments. EKST allows for fuzzy keyword searches that tolerate minor typos or inconsistencies. It does this by constructing fuzzy keyword sets for predefined keywords that include variations within a certain edit distance. EKST then designs an efficient search approach based on these fuzzy keyword sets to securely retrieve matching encrypted files from the cloud server while revealing minimal information. The document outlines the problem formulation, related work, and proposes techniques like wildcard-based construction of fuzzy keyword sets to improve storage efficiency and search performance for fuzzy keyword search over encrypted cloud data.
1) The document discusses smart antennas for WiMAX radio systems. Smart antennas can sense their environment and adjust their gain in different directions, improving quality of service and network capacity.
2) Smart antennas use antenna arrays and signal processing to form beams toward desired users and place nulls toward interference, improving performance. They can estimate the directions of signal sources.
3) The document reviews the need for smart antennas in wireless communication systems to combat issues like limited spectrum, signal fading, and interference from frequency reuse. Smart antennas can improve capacity, coverage, and reduce errors.
This document summarizes a research paper that evaluates the performance and delay of unstructured peer-to-peer networks. The paper proposes a novel topology matching method called Self-Adaptive Topology Matching (SAT-Match) to reduce the mismatch between the overlay network and underlying physical network. SAT-Match guides each new peer to initially connect to physically close neighbors. It then adaptively adjusts peers' overlay locations when mismatches are detected to minimize transmission latency and provide a reliable P2P environment. Simulation results show SAT-Match usually requires less time to achieve better results than other considered methods, especially for large-scale networks.
Integrating Help, Support, and Training ContentPaul Mueller
The document discusses integrating help, support, and training content using WordPress. It notes that users want a single place to find answers and integrating content reduces duplicate effort. WordPress was chosen because it is flexible, easy to use, and allows customizing content display through themes and plugins. An example integration at smartvault.com/support is reviewed, showing how WordPress brings together help topics, guides, training videos, a knowledge base, and support policies and contact information into a unified support center.
The document contrasts statements of doubt with reassuring responses from God found in scripture. It addresses common doubts like being too tired, feeling unloved, worried or alone. Each doubt is followed by a Bible verse where God promises rest, love, wisdom, forgiveness and that all things are possible through faith in him. The overall message is that no matter the doubt, God provides answers through his word to give hope and reassurance.
The document discusses Open Text (iXOS) archiving at AusPost, including:
1) Open Text is a globally proven solution that is integrated with SAP and meets compliance standards.
2) The current archiving architecture includes logical archives stored on IBM storage using the LEA solution.
3) Many common SAP objects are currently archived such as sales documents, deliveries, and customer master data.
4) New opportunities exist to archive additional SAP objects like sales contacts and purchasing documents to gain more benefits from archiving.
IRJET- Concealing of Deets using Steganography TechniqueIRJET Journal
The document proposes a technique for concealing secret data in images using steganography by embedding audio data into the image pixels of different color planes and encrypting the data using an AES replacement algorithm. The proposed method aims to provide an efficient way to hide and extract data and audio independently without loss by embedding encrypted data into the least significant bits of pixels in a color image. The document evaluates the performance of the proposed multi-plane image and data hiding technique.
IRJET- Concealing of Deets using Steganography TechniqueIRJET Journal
The document proposes a technique for concealing secret data through multi-plane image data embedding and describes using AES replacement algorithm to conceal secret message bits into input image pixels. It discusses using steganography to hide cover data in unpredictable multimedia information for secret communication and extracting the hidden data and audio independently without loss by using the correct password. The proposed method aims to improve data hiding capacity while maintaining image quality.
This document compares the performance of symmetric data encryption techniques. It discusses implementing the Blowfish encryption algorithm in VHDL on an Altera Quartus II platform. Key generation for Blowfish uses substitution boxes to transform an 8-bit input into a 32-bit output, allowing generation of keys up to 448 bits. The VHDL implementation executes one encryption round per clock cycle, computes rounds and key schedules in parallel, and supports both encryption and decryption with minimal cost. Power, speed and resource usage are analyzed for different implementations.
The document compares the performance of symmetric data encryption techniques. It analyzes the Blowfish encryption algorithm, which uses a variable key size for encryption. The algorithm is implemented in VHDL hardware description language on an Altera Quartus II platform. Power analysis shows Blowfish consumes less power than AES, IDEA, and Rijndael algorithms for a 128-bit key. Timing analysis also demonstrates Blowfish's superiority over the other algorithms. The VHDL implementation allows encryption and decryption to be performed efficiently in a single clock cycle with minimal cost.
Digital image security and integrity are the top
prioritized issue in today’s information World. Watermarking
is a famous technique that is used for copyright protection and
authentication. Watermark Should be robust and
imperceptible.
IRJET - Image Watermarking using QR CodeIRJET Journal
This document presents a technique for digital image watermarking using QR codes. It aims to provide copyright protection and authentication of digital images. The technique works by encrypting an image using AES encryption and embedding the encrypted data in a QR code. The QR code is then hidden behind a cover image using steganography. This makes it difficult for unauthorized users to detect the hidden watermark or tamper with the encrypted image data. The document discusses related work on image watermarking and steganography techniques. It also provides details of the proposed system architecture, classification of digital watermarking techniques, the AES encryption algorithm used, and potential applications of the presented image watermarking approach.
This document summarizes an article from the International Journal of Engineering Inventions that proposes a method for image authentication and ensuring data integrity based on discrete wavelet transform. The method integrates message authentication codes and encryption such that the hashed value of an encrypted image is the same as the hashed value of the original unencrypted image, allowing authenticity to be proven without decrypting or revealing the actual data. It applies a digital watermark and signature to the original image using cryptography before transmission. The encryption is used to securely transmit the data over open networks by encrypting the image with a public key and decrypting it with a private key. The document outlines the objectives, introduction, and methodology of applying digital signatures, watermarking, and
This document discusses the implementation of a Network Intrusion Detection System (NIDS) using the International Data Encryption Algorithm (IDEA). IDEA is a block cipher that operates on 64-bit blocks of plaintext and uses a 128-bit key. The most computationally intensive part of IDEA is the modulo (2n+1) multiplier. The paper proposes an efficient hardware structure for the modulo multiplier to improve the speed and efficiency of the IDEA algorithm when used for network intrusion detection.
This document describes a digital code lock project created by a group of students using a PIC16F627 microcontroller. The objectives of the project were to design a keyless door entry using an electronic digital lock code to help users access areas without a physical key. The project implemented the necessary hardware circuits and programmed the microcontroller to accept a code and unlock the door. Developing this digital code lock provided an opportunity for the students to learn about microcontroller interfacing and programming.
ANALYSIS AND DESIGN OF MULTIPLE WATERMARKING IN A VIDEO FOR AUTHENTICATION AN...Editor Jacotech
Watermarking technique be employ instance & for a second time for
validation and protection of digital data (images, video and audio
files, digital repositories and libraries, web publishing). It is helpful
to copyright protection and illegal copying of digital data like video
frames and making digital data more robust and imperceptible. With
the advent of internet, creation and delivery of digital data has grown
many fold. In that Scenario has to need a technique for transferring
digital data securely without changing their originality and
robustness. In this paper proposed a plan of latest watermarking
method which involves inserting and adding two or more digital data
or pictures in a single video frame for the principle of protection and
replicate the similar procedure for N no video frames for
authentication of entire digital video. After that digital video is
encrypted and decrypted by using motion vector bit-xor encryption
and decryption technique.
ANALYSIS OF IMAGE WATERMARKING USING LEAST SIGNIFICANT BIT ALGORITHMijistjournal
The rapid advancement of internet has made it easier to send the data/image accurate and faster to the destination. But thisadvantage is also accompanied with the disadvantage of modifying and misusing the valuable information through intercepting or hacking.So In order to transfer the data/image to the intended user at destination without anyalterations or modifications, there are many approaches like Cryptography, Watermarking and Steganography. This paper presents the general overview of image watermarking and different security issues. In this paper, Image Watermarking using Least Significant Bit (LSB) algorithm has been used for embedding the message/logo into the image. This work has been implemented through MATLAB.
ANALYSIS OF IMAGE WATERMARKING USING LEAST SIGNIFICANT BIT ALGORITHMijistjournal
The rapid advancement of internet has made it easier to send the data/image accurate and faster to the destination. But thisadvantage is also accompanied with the disadvantage of modifying and misusing the valuable information through intercepting or hacking.So In order to transfer the data/image to the intended user at destination without anyalterations or modifications, there are many approaches like Cryptography, Watermarking and Steganography. This paper presents the general overview of image watermarking and different security issues. In this paper, Image Watermarking using Least Significant Bit (LSB) algorithm has been used for embedding the message/logo into the image. This work has been implemented through MATLAB.
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
A RSA- DWT Based Visual Cryptographic Steganogrphy Technique by Mohit GoelMohit Goel
1) The document presents a technique for visual cryptographic steganography that uses RSA encryption and discrete wavelet transform (DWT) for data security.
2) In the proposed method, data is first encrypted using RSA encryption and then embedded in an image using Haar-DWT based steganography.
3) Experimental results on 100 images show the proposed technique achieves higher PSNR values compared to other techniques like LSB and LSB-DCT steganography, indicating better image quality and security of the hidden data.
This document summarizes a new approach for optimizing invisible image watermarking using symmetric key algorithms. The approach hides information by dividing a message evenly between two images and manipulating the least significant bit of pixels. It also encrypts the image addresses as a key using DES or AES algorithms. The method embeds data in the spatial domain by changing pixel values. This provides improved security compared to single image watermarking by maximizing the number of images used to hide data. Experimental results show encrypted images cannot be viewed without decryption using the user key, and secret messages can be extracted from watermarked images.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
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International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
yahoo journals, bing journals, International Journal of Engineering Research and Development, google journals, hard copy of journal
Designing secured data using a combination of JPEG2000 Compression, RSA Encry...IRJET Journal
This document discusses securing data by combining JPEG2000 compression, RSA encryption, and discrete wavelet transform (DWT) steganography. It describes how the data is first substituted using a 14 square algorithm and then encrypted with RSA. The encrypted message is compressed with JPEG2000 before being hidden within an image using DWT steganography. At the receiver end, the reverse process is performed to decrypt the original message. Combining encryption, compression, and steganography makes the secured information more robust and difficult to hack within a feasible time frame.
Dual-Layer Video Encryption and Decryption using RSA AlgorithmIJARIIT
The document proposes a dual-layer video encryption method using RSA and pseudo-noise sequence algorithms. It discusses encrypting the audio and video components separately with two layers of encryption. The video encryption uses RSA followed by pseudo-noise encryption. It describes the RSA algorithm key generation, encryption, and decryption processes. The expected results show the original video being separated into R, G, B components, then undergoing four stages of encryption and three stages of decryption when being reconstructed. The dual-layer approach aims to provide high security without compromising speed or decryption ratio.
Survey on Digital Video Watermarking Techniques, Attacks and ApplicationsYogeshIJTSRD
Digital watermarking is a method of identifying the rightful owner of digital data by embedding a known message in the data. These methods can be applied to a wide range of digital material, including still images, videos, and music. To safeguard the copyright of digital media, digital watermarking techniques have been created. This study seeks to provide a comprehensive overview and background on the definition, idea, and major accomplishments in the subject of watermarking. It starts with a broad review of digital watermarking, then moves on to assaults, applications, and eventually a detailed examination of existing and new watermarking systems. We classify the techniques according various categories such as host signal, perceptivity, and robustness, and watermark type, necessary data for extraction, processing domain, and applications. Preeti Sondhi | Soufia Gull "Survey on Digital Video Watermarking Techniques, Attacks and Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43776.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/43776/survey-on-digital-video-watermarking-techniques-attacks-and-applications/preeti-sondhi
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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).
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...Zilliz
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
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.
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.
20 Comprehensive Checklist of Designing and Developing a WebsitePixlogix Infotech
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
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.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.