Web crawler synopsis
•Download as DOC, PDF•
0 likes•1,821 views
This document provides a project synopsis for developing a highly efficient web crawler. The objective is to browse the World Wide Web in an automated manner. A web crawler is a computer program that methodically explores websites by starting with a list of seed URLs and identifying links to add to a crawl frontier. As the crawler visits URLs, it finds and adds all hyperlinks to the frontier to visit recursively. The synopsis provides an introduction to web crawlers and their uses, as well as the machine specifications required.
Report
Share
Report
Share
Recommended
WebCrawler
This document provides an introduction to web crawlers. It defines a web crawler as a computer program that browses the World Wide Web in a methodical, automated manner to gather pages and support functions like search engines and data mining. The document outlines the key features of crawlers, including robustness, politeness, distribution, scalability, and quality. It describes the basic architecture of a crawler, including the URL frontier that stores URLs to fetch, DNS resolution, page fetching, parsing, duplicate URL elimination, and filtering based on robots.txt files. Issues like prioritizing URLs, change rates, quality, and politeness policies are also discussed.
Web crawler synopsis
This project aims to develop an efficient web crawler to browse the World Wide Web in an automated manner. The web crawler will be created by students Atul Singh and Mayur Garg under the guidance of their mentor Mrs. Deepika. A web crawler systematically visits websites to create copies of pages for search engines to index, starting with an initial list of URLs. This specific crawler will be developed to have a high performance using a computer with 640MB memory, 100Mbps internet connection, and running Windows XP/Vista with Java SDK 1.6 and a database client.
Web crawler
Web crawlers, also known as robots or bots, are programs that systematically browse the internet and index websites for search engines. Crawlers follow links from seed URLs and download pages to extract new URLs to crawl. They use techniques like breadth-first crawling to efficiently discover as much of the web as possible. Crawlers must have policies to select pages, revisit sites, be polite to not overload websites, and coordinate distributed crawling. Their high-performance architecture is crucial for search engines to comprehensively index the large and constantly changing web.
Web crawler with seo analysis
This document describes a project to build a web crawler and search engine to provide student information to students. It will scrape data like exam results, college details, and fees from other websites and provide the information to students in a searchable online interface. The system will include a desktop application for scraping data and storing it in a SQL Server database. It will also have a web application for students to search for their results or compare results with other students. The project aims to make student exam data and materials easily available from a single portal.
SemaGrow demonstrator: “Web Crawler + AgroTagger”
SemaGrow demonstrator: “Web Crawler + AgroTagger”AIMS (Agricultural Information Management Standards)
The webinar will present the SemaGrow demonstrator “Web Crawler + AgroTagger”, in order to collect feedback, ideas and comments about the status of the development and how the demonstrator helps to overcome data problems.
SemaGrow is a project funded by the Seventh Framework Programme (FP7) of the European Commission, aiming at developing algorithms, infrastructures and methodologies to cope with large data volumes and real time performance.
In this context, FAO is providing a component than can be used to crawl the Web, giving a meaning to discovered resources by using the AgroTagger, which can assign some AGROVOC URIs to resources gathered by a Web crawler.
The demonstrator is publicly available at https://github.com/agrisfao/agrotagger.Working with WebSPHINX Web Crawler
The document provides instructions for using the WebSPHINX web crawler. It describes the 4 main steps: 1) Running the Java program, 2) Specifying a starting URL, 3) Choosing an action (e.g. save, concatenate, extract, highlight pages), and 4) Selecting a visualization mode (graph, outline, statistics). It then demonstrates saving pages, concatenating results, extracting objects, highlighting text, and viewing the crawling process in the different visualization modes.
Smart Crawler -A Two Stage Crawler For Efficiently Harvesting Deep Web
As deep web grows at a very fast pace, there has been increased interest in techniques that help efficiently locate deep-web interfaces. However, due to the large volume of web resources and the dynamic nature of deep web, achieving wide coverage and high efficiency is a challenging issue. We propose a two-stage framework, namely Smart Crawler, for efficient harvesting deep web interfaces. In the first stage, Smart Crawler performs site-based searching for center pages with the help of search engines, avoiding visiting a large number of pages. To achieve more accurate results for a focused crawl, Smart Crawler ranks websites to prioritize highly relevant ones for a given topic. In the second stage, Smart Crawler achieves fast in-site searching by excavating most relevant links with an adaptive learning.
“Web crawler”
This document discusses the architecture and approaches of web crawlers. It describes how web crawlers work by systematically browsing websites to gather pages. The key components of a web crawler include its crawling process, which prioritizes URLs using selection policies. Web crawlers are important utilities as they support search engines by gathering pages to improve searching efficiency and perform tasks like data mining and web site analysis. The document reviews several papers on focused crawling and ontology-based approaches. It also discusses challenges for crawlers in selecting important pages to download while avoiding overloading websites.
Recommended
WebCrawler
This document provides an introduction to web crawlers. It defines a web crawler as a computer program that browses the World Wide Web in a methodical, automated manner to gather pages and support functions like search engines and data mining. The document outlines the key features of crawlers, including robustness, politeness, distribution, scalability, and quality. It describes the basic architecture of a crawler, including the URL frontier that stores URLs to fetch, DNS resolution, page fetching, parsing, duplicate URL elimination, and filtering based on robots.txt files. Issues like prioritizing URLs, change rates, quality, and politeness policies are also discussed.
Web crawler synopsis
This project aims to develop an efficient web crawler to browse the World Wide Web in an automated manner. The web crawler will be created by students Atul Singh and Mayur Garg under the guidance of their mentor Mrs. Deepika. A web crawler systematically visits websites to create copies of pages for search engines to index, starting with an initial list of URLs. This specific crawler will be developed to have a high performance using a computer with 640MB memory, 100Mbps internet connection, and running Windows XP/Vista with Java SDK 1.6 and a database client.
Web crawler
Web crawlers, also known as robots or bots, are programs that systematically browse the internet and index websites for search engines. Crawlers follow links from seed URLs and download pages to extract new URLs to crawl. They use techniques like breadth-first crawling to efficiently discover as much of the web as possible. Crawlers must have policies to select pages, revisit sites, be polite to not overload websites, and coordinate distributed crawling. Their high-performance architecture is crucial for search engines to comprehensively index the large and constantly changing web.
Web crawler with seo analysis
This document describes a project to build a web crawler and search engine to provide student information to students. It will scrape data like exam results, college details, and fees from other websites and provide the information to students in a searchable online interface. The system will include a desktop application for scraping data and storing it in a SQL Server database. It will also have a web application for students to search for their results or compare results with other students. The project aims to make student exam data and materials easily available from a single portal.
SemaGrow demonstrator: “Web Crawler + AgroTagger”
SemaGrow demonstrator: “Web Crawler + AgroTagger”AIMS (Agricultural Information Management Standards)
The webinar will present the SemaGrow demonstrator “Web Crawler + AgroTagger”, in order to collect feedback, ideas and comments about the status of the development and how the demonstrator helps to overcome data problems.
SemaGrow is a project funded by the Seventh Framework Programme (FP7) of the European Commission, aiming at developing algorithms, infrastructures and methodologies to cope with large data volumes and real time performance.
In this context, FAO is providing a component than can be used to crawl the Web, giving a meaning to discovered resources by using the AgroTagger, which can assign some AGROVOC URIs to resources gathered by a Web crawler.
The demonstrator is publicly available at https://github.com/agrisfao/agrotagger.Working with WebSPHINX Web Crawler
The document provides instructions for using the WebSPHINX web crawler. It describes the 4 main steps: 1) Running the Java program, 2) Specifying a starting URL, 3) Choosing an action (e.g. save, concatenate, extract, highlight pages), and 4) Selecting a visualization mode (graph, outline, statistics). It then demonstrates saving pages, concatenating results, extracting objects, highlighting text, and viewing the crawling process in the different visualization modes.
Smart Crawler -A Two Stage Crawler For Efficiently Harvesting Deep Web
As deep web grows at a very fast pace, there has been increased interest in techniques that help efficiently locate deep-web interfaces. However, due to the large volume of web resources and the dynamic nature of deep web, achieving wide coverage and high efficiency is a challenging issue. We propose a two-stage framework, namely Smart Crawler, for efficient harvesting deep web interfaces. In the first stage, Smart Crawler performs site-based searching for center pages with the help of search engines, avoiding visiting a large number of pages. To achieve more accurate results for a focused crawl, Smart Crawler ranks websites to prioritize highly relevant ones for a given topic. In the second stage, Smart Crawler achieves fast in-site searching by excavating most relevant links with an adaptive learning.
“Web crawler”
This document discusses the architecture and approaches of web crawlers. It describes how web crawlers work by systematically browsing websites to gather pages. The key components of a web crawler include its crawling process, which prioritizes URLs using selection policies. Web crawlers are important utilities as they support search engines by gathering pages to improve searching efficiency and perform tasks like data mining and web site analysis. The document reviews several papers on focused crawling and ontology-based approaches. It also discusses challenges for crawlers in selecting important pages to download while avoiding overloading websites.
Web crawler and applications
A web crawler is a program that systematically browses websites to index them for search engines like Google and Bing. It starts with popular websites that have high traffic and reads pages to find links to other pages, following those links to crawl the web in an automated way and index all content for search engines. The process allows search engines to constantly discover and catalog new pages to provide up-to-date search results to users.
What is a web crawler and how does it work
http://www.a2zcomputex.org/what-is-a-web-crawler-and-how-does-it-work/
Web Crawler is a series, which browses the WWW (World Wide Web) in a systematic & computerized manner.
Coding for a wget based Web Crawler
The document discusses options used in a web crawler code to control its behavior. The -r option enables recursive retrieval, allowing the crawler to follow links. The -spider option makes the crawler behave like a spider to check web pages are accessible without downloading them. The -domains option limits crawling to the specified domain only. The -l 5 option specifies a depth of 5 pages to avoid spider traps, and --tries=5 sets the number of retries if a connection fails.
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERF...
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERFACES
C:+91 8121953811,L:040-65511811
M:cloudtechnologiesprojects@gmail.com
All 2015 Implementations http://goo.gl/L07S0Q
http://cloudstechnologies.in/
Smart crawler a two stage crawler
SmartCrawler is a two-stage crawler for efficiently harvesting deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites using search engines and site ranking, avoiding visiting many irrelevant pages. In the second stage, SmartCrawler prioritizes links within websites using adaptive link ranking to efficiently find searchable forms. Experimental results showed SmartCrawler achieved higher harvest rates of deep-web interfaces than other crawlers by using its two-stage approach and adaptive learning techniques.
Webcrawler
Web crawling involves automated programs known as web crawlers or spiders that systematically browse the World Wide Web and extract information from websites. Crawlers are used by search engines to build comprehensive indexes of websites and their contents. The basic operation of crawlers involves starting with seed URLs, fetching and parsing web pages to extract new URLs, placing those URLs on a queue to crawl, and repeating the process. There are various types of crawlers that differ in how frequently they recrawl sites and whether they focus on specific topics. Key challenges of web crawling include the large volume and dynamic nature of web content as well as high rates of change.
Web Crawling & Crawler
The document discusses web crawling and provides an overview of the process. It defines web crawling as the process of gathering web pages to index them and support search. The objective is to quickly gather useful pages and link structures. The presentation covers the basic operation of crawlers including using a seed set of URLs and frontier of URLs to crawl. It describes common modules in crawler architecture like URL filtering tests. It also discusses topics like politeness, distributed crawling, DNS resolution, and types of crawlers.
Web Crawler
Web crawling involves automated programs called crawlers or spiders that browse the web methodically to index web pages for search engines. Crawlers start from seed URLs and extract links from visited pages to discover new pages, repeating the process until a desired size or time limit is reached. Crawlers are used by search engines to build indexes of web content and ensure freshness through revisiting URLs. Challenges include the web's large size, fast changes, and dynamic content generation. APIs allow programmatic access to web services and information through REST, HTTP POST, and SOAP.
Smart Crawler Base Paper A two stage crawler for efficiently harvesting deep-...
The document describes a two-stage crawling framework called SmartCrawler for efficiently harvesting deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites using reverse searching and site ranking. It prioritizes highly relevant websites for focused crawling. In the second stage, SmartCrawler explores within selected websites by ranking links adaptively to excavate searchable forms efficiently while achieving wider coverage. Experimental results on representative domains show SmartCrawler retrieves more deep-web interfaces at higher rates than other crawlers.
Colloquim Report - Rotto Link Web Crawler
A Report of web crawler/scraper to find the broken links in the targeted seed url based on the keywords matched around that broken links
Web crawler
The document discusses web crawlers, which are programs that download web pages to help search engines index websites. It explains that crawlers use strategies like breadth-first search and depth-first search to systematically crawl the web. The architecture of crawlers includes components like the URL frontier, DNS lookup, and parsing pages to extract links. Crawling policies determine which pages to download and when to revisit pages. Distributed crawling improves efficiency by using multiple coordinated crawlers.
Search engine and web crawler
The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
A Novel Interface to a Web Crawler using VB.NET Technology
This document describes the design of a web crawler interface created using VB.NET technology. It discusses the components and architecture of web crawlers, including the seed URLs, frontier, parser, and performance metrics used to evaluate crawlers. The high-level design of the crawler simulator is presented as an algorithm, and screenshots of the VB.NET user interface for the crawler are shown. The crawler was tested on the website www.cdlu.edu.in using different crawling algorithms like breadth-first and best-first, and the results were stored in an MS Access database.
Smart crawler a two stage crawler
The document proposes a two-stage crawler called SmartCrawler to efficiently harvest deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites while avoiding visiting many pages. In the second stage, SmartCrawler achieves fast in-site searching by prioritizing relevant links using an adaptive link-ranking approach. Experimental results show SmartCrawler retrieves deep-web interfaces more efficiently than other crawlers.
Web Crawlers
A web crawler is a program that browses the World Wide Web methodically by following links from page to page and downloading each page to be indexed later by a search engine. It initializes seed URLs, adds them to a frontier, selects URLs from the frontier to fetch and parse for new links, adding those links to the frontier until none remain. Web crawlers are used by search engines to regularly update their databases and keep their indexes current.
Smart crawlet A two stage crawler for efficiently harvesting deep web interf...
The document proposes a two-stage "Smart Crawler" framework to efficiently harvest information from the deep web. In the first stage, the crawler performs site-based searching to avoid visiting many pages. In the second stage, it achieves fast in-site searching by excavating the most relevant links with an adaptive link-ranking. This approach allows the crawler to achieve both wide coverage and high efficiency when searching for information on a specific topic within the deep web.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
The internet is a vast collection of billions of web pages containing terabytes of information
arranged in thousands of servers using HTML. The size of this collection itself is a formidable obstacle in
retrieving necessary and relevant information. This made search engines an important part of our lives. Search
engines strive to retrieve information as relevant as possible. One of the building blocks of search engines is the
Web Crawler. We tend to propose a two - stage framework, specifically two smart Crawler, for efficient
gathering deep net interfaces. Within the first stage, smart Crawler, performs site-based sorting out centre
pages with the assistance of search engines, avoiding visiting an oversized variety of pages. To realize
additional correct results for a targeted crawl, smart Crawler, ranks websites to order extremely relevant ones
for a given topic. Within the second stage, smart Crawler, achieves quick in – site looking by excavating most
relevant links with associate degree accommodative link -ranking
Smart Crawler
This is a academic work for developing a crawler that can classify the Web Content using SVM and Naive Bayes for Machine Learning, implemented with Elasticsearch, Crawler4J and Apache Spark.
Colloquim Report on Crawler - 1 Dec 2014
This document summarizes a web crawling project completed by Sunny Kumar for his Bachelor's degree. It describes a web crawler called Rotto Link Crawler that was developed to extract broken or dead links within a website. The crawler takes a seed URL, crawls every page of that site to find hyperlinks, and checks if any links are broken. If broken links or pages containing keywords are found, they are stored in a database. The project utilized various Python libraries and was built with a Flask backend and AngularJS frontend.
Brief Introduction on Working of Web Crawler
This Paper introduces a concept of web crawlers utilized as a part of web indexes. These days finding significant information among the billions of information resources on the World Wide Web is a difficult assignment because of developing popularity of the Web [16]. Search Engine starts a search by beginning a crawler to search the World Wide Web (WWW) for reports. Web crawler works orderedly to mine the information from the huge repository. The information on which the crawlers were working was composed in HTML labels, that information slacks the significance. It was a technique of content mapping [1]. Because of the current size of the Web and its dynamic nature, fabricating a productive search algorithm is essential. A huge number of web pages are persistently being included each day, and data is continually evolving. Search engines are utilized to separate important Information from the web. Web crawlers are the central part of internet searcher, is a PC program or software that peruses the World Wide Web in a deliberate, robotized way or in a systematic manner. It is a fundamental strategy for gathering information on, and staying in contact with the quickly expanding Internet. This survey briefly reviews the concepts of web crawler, web crawling methods used for searching, its architecture and its various types [5,6]. It also highlights avenues for future work [9].
F43033234
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
More Related Content
What's hot
Web crawler and applications
A web crawler is a program that systematically browses websites to index them for search engines like Google and Bing. It starts with popular websites that have high traffic and reads pages to find links to other pages, following those links to crawl the web in an automated way and index all content for search engines. The process allows search engines to constantly discover and catalog new pages to provide up-to-date search results to users.
What is a web crawler and how does it work
http://www.a2zcomputex.org/what-is-a-web-crawler-and-how-does-it-work/
Web Crawler is a series, which browses the WWW (World Wide Web) in a systematic & computerized manner.
Coding for a wget based Web Crawler
The document discusses options used in a web crawler code to control its behavior. The -r option enables recursive retrieval, allowing the crawler to follow links. The -spider option makes the crawler behave like a spider to check web pages are accessible without downloading them. The -domains option limits crawling to the specified domain only. The -l 5 option specifies a depth of 5 pages to avoid spider traps, and --tries=5 sets the number of retries if a connection fails.
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERF...
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERFACES
C:+91 8121953811,L:040-65511811
M:cloudtechnologiesprojects@gmail.com
All 2015 Implementations http://goo.gl/L07S0Q
http://cloudstechnologies.in/
Smart crawler a two stage crawler
SmartCrawler is a two-stage crawler for efficiently harvesting deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites using search engines and site ranking, avoiding visiting many irrelevant pages. In the second stage, SmartCrawler prioritizes links within websites using adaptive link ranking to efficiently find searchable forms. Experimental results showed SmartCrawler achieved higher harvest rates of deep-web interfaces than other crawlers by using its two-stage approach and adaptive learning techniques.
Webcrawler
Web crawling involves automated programs known as web crawlers or spiders that systematically browse the World Wide Web and extract information from websites. Crawlers are used by search engines to build comprehensive indexes of websites and their contents. The basic operation of crawlers involves starting with seed URLs, fetching and parsing web pages to extract new URLs, placing those URLs on a queue to crawl, and repeating the process. There are various types of crawlers that differ in how frequently they recrawl sites and whether they focus on specific topics. Key challenges of web crawling include the large volume and dynamic nature of web content as well as high rates of change.
Web Crawling & Crawler
The document discusses web crawling and provides an overview of the process. It defines web crawling as the process of gathering web pages to index them and support search. The objective is to quickly gather useful pages and link structures. The presentation covers the basic operation of crawlers including using a seed set of URLs and frontier of URLs to crawl. It describes common modules in crawler architecture like URL filtering tests. It also discusses topics like politeness, distributed crawling, DNS resolution, and types of crawlers.
Web Crawler
Web crawling involves automated programs called crawlers or spiders that browse the web methodically to index web pages for search engines. Crawlers start from seed URLs and extract links from visited pages to discover new pages, repeating the process until a desired size or time limit is reached. Crawlers are used by search engines to build indexes of web content and ensure freshness through revisiting URLs. Challenges include the web's large size, fast changes, and dynamic content generation. APIs allow programmatic access to web services and information through REST, HTTP POST, and SOAP.
Smart Crawler Base Paper A two stage crawler for efficiently harvesting deep-...
The document describes a two-stage crawling framework called SmartCrawler for efficiently harvesting deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites using reverse searching and site ranking. It prioritizes highly relevant websites for focused crawling. In the second stage, SmartCrawler explores within selected websites by ranking links adaptively to excavate searchable forms efficiently while achieving wider coverage. Experimental results on representative domains show SmartCrawler retrieves more deep-web interfaces at higher rates than other crawlers.
Colloquim Report - Rotto Link Web Crawler
A Report of web crawler/scraper to find the broken links in the targeted seed url based on the keywords matched around that broken links
Web crawler
The document discusses web crawlers, which are programs that download web pages to help search engines index websites. It explains that crawlers use strategies like breadth-first search and depth-first search to systematically crawl the web. The architecture of crawlers includes components like the URL frontier, DNS lookup, and parsing pages to extract links. Crawling policies determine which pages to download and when to revisit pages. Distributed crawling improves efficiency by using multiple coordinated crawlers.
Search engine and web crawler
The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
A Novel Interface to a Web Crawler using VB.NET Technology
This document describes the design of a web crawler interface created using VB.NET technology. It discusses the components and architecture of web crawlers, including the seed URLs, frontier, parser, and performance metrics used to evaluate crawlers. The high-level design of the crawler simulator is presented as an algorithm, and screenshots of the VB.NET user interface for the crawler are shown. The crawler was tested on the website www.cdlu.edu.in using different crawling algorithms like breadth-first and best-first, and the results were stored in an MS Access database.
Smart crawler a two stage crawler
The document proposes a two-stage crawler called SmartCrawler to efficiently harvest deep-web interfaces. In the first stage, SmartCrawler performs site-based searching to identify relevant websites while avoiding visiting many pages. In the second stage, SmartCrawler achieves fast in-site searching by prioritizing relevant links using an adaptive link-ranking approach. Experimental results show SmartCrawler retrieves deep-web interfaces more efficiently than other crawlers.
Web Crawlers
A web crawler is a program that browses the World Wide Web methodically by following links from page to page and downloading each page to be indexed later by a search engine. It initializes seed URLs, adds them to a frontier, selects URLs from the frontier to fetch and parse for new links, adding those links to the frontier until none remain. Web crawlers are used by search engines to regularly update their databases and keep their indexes current.
Smart crawlet A two stage crawler for efficiently harvesting deep web interf...
The document proposes a two-stage "Smart Crawler" framework to efficiently harvest information from the deep web. In the first stage, the crawler performs site-based searching to avoid visiting many pages. In the second stage, it achieves fast in-site searching by excavating the most relevant links with an adaptive link-ranking. This approach allows the crawler to achieve both wide coverage and high efficiency when searching for information on a specific topic within the deep web.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
The internet is a vast collection of billions of web pages containing terabytes of information
arranged in thousands of servers using HTML. The size of this collection itself is a formidable obstacle in
retrieving necessary and relevant information. This made search engines an important part of our lives. Search
engines strive to retrieve information as relevant as possible. One of the building blocks of search engines is the
Web Crawler. We tend to propose a two - stage framework, specifically two smart Crawler, for efficient
gathering deep net interfaces. Within the first stage, smart Crawler, performs site-based sorting out centre
pages with the assistance of search engines, avoiding visiting an oversized variety of pages. To realize
additional correct results for a targeted crawl, smart Crawler, ranks websites to order extremely relevant ones
for a given topic. Within the second stage, smart Crawler, achieves quick in – site looking by excavating most
relevant links with associate degree accommodative link -ranking
Smart Crawler
This is a academic work for developing a crawler that can classify the Web Content using SVM and Naive Bayes for Machine Learning, implemented with Elasticsearch, Crawler4J and Apache Spark.
Colloquim Report on Crawler - 1 Dec 2014
This document summarizes a web crawling project completed by Sunny Kumar for his Bachelor's degree. It describes a web crawler called Rotto Link Crawler that was developed to extract broken or dead links within a website. The crawler takes a seed URL, crawls every page of that site to find hyperlinks, and checks if any links are broken. If broken links or pages containing keywords are found, they are stored in a database. The project utilized various Python libraries and was built with a Flask backend and AngularJS frontend.
What's hot (20)
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERF...
SMART CRAWLER: A TWO-STAGE CRAWLER FOR EFFICIENTLY HARVESTING DEEP-WEB INTERF...
Smart Crawler Base Paper A two stage crawler for efficiently harvesting deep-...
Smart Crawler Base Paper A two stage crawler for efficiently harvesting deep-...
A Novel Interface to a Web Crawler using VB.NET Technology
A Novel Interface to a Web Crawler using VB.NET Technology
Smart crawlet A two stage crawler for efficiently harvesting deep web interf...
Smart crawlet A two stage crawler for efficiently harvesting deep web interf...
Design and Implementation of a High- Performance Distributed Web Crawler
Design and Implementation of a High- Performance Distributed Web Crawler
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Smart Crawler: A Two Stage Crawler for Concept Based Semantic Search Engine.
Similar to Web crawler synopsis
Brief Introduction on Working of Web Crawler
This Paper introduces a concept of web crawlers utilized as a part of web indexes. These days finding significant information among the billions of information resources on the World Wide Web is a difficult assignment because of developing popularity of the Web [16]. Search Engine starts a search by beginning a crawler to search the World Wide Web (WWW) for reports. Web crawler works orderedly to mine the information from the huge repository. The information on which the crawlers were working was composed in HTML labels, that information slacks the significance. It was a technique of content mapping [1]. Because of the current size of the Web and its dynamic nature, fabricating a productive search algorithm is essential. A huge number of web pages are persistently being included each day, and data is continually evolving. Search engines are utilized to separate important Information from the web. Web crawlers are the central part of internet searcher, is a PC program or software that peruses the World Wide Web in a deliberate, robotized way or in a systematic manner. It is a fundamental strategy for gathering information on, and staying in contact with the quickly expanding Internet. This survey briefly reviews the concepts of web crawler, web crawling methods used for searching, its architecture and its various types [5,6]. It also highlights avenues for future work [9].
F43033234
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Detection of Phishing Websites
This document discusses techniques for detecting phishing websites. It proposes using web crawling and YARA rules to analyze website URLs and content to classify websites as phishing or non-phishing. Specifically, it involves capturing the URL, analyzing features like domain length and global rank to generate a score, then using a web crawler and YARA rules to analyze website text and detect if the content is irrelevant or malicious. The goal is to develop an extension that can act as middleware between users and malicious websites to reduce users' risk of exposure while allowing safe browsing.
Implementation of Web Application for Disease Prediction Using AI
Implementation of Web Application for Disease Prediction Using AIBOHR International Journal of Data Mining and Big Data
The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats such as text, audio, video and much more. In all web scraping is one way. It is a set
of strategies here in which we get information from the website instead of copying the data manually. Many Webbased data extraction methods are designed to solve specific problems and work on ad-hoc domains. Various tools and technologies have been developed to facilitate Web Scraping. Unfortunately, the appropriateness and ethics of
using these Web Scraping tools are often overlooked. There are hundreds of web scraping software available today, most of them designed for Java, Python and Ruby. There is also open source software and commercial software.OFFTECH TOOL AND END URL FINDER
This document proposes an Offtech Tool and End URL Finder to determine where links lead before clicking on them. It summarizes that hackers can steal data or damage websites through malicious links. The tool was created using the Python Flask framework to independently run on various operating systems. It follows the URL route of a link to display the full, redirected URL to avoid theft of personal information. Testing showed the tool successfully detected 98.5% of links intended to steal sensitive data by analyzing URL properties like length and IP addresses.
Implementation ofWeb Application for Disease Prediction Using AI
Implementation ofWeb Application for Disease Prediction Using AIBOHR International Journal of Computer Science (BIJCS)
The Internet is the largest source of information created by humanity. It contains a variety of materials available in various formats, such as text, audio, video, and much more. In all, web scraping is one way. There is a set of strategies here in which we get information from the website instead of copying the data manually. Many webbased data extraction methods are designed to solve specific problems and work on ad hoc domains. Various tools and technologies have been developed to facilitate web scraping. Unfortunately, the appropriateness and ethics of using these web scraping tools are often overlooked. There are hundreds of web scraping software available today, most of them designed for Java, Python, and Ruby. There is also open-source software and commercial software. Web-based software such as YahooPipes, Google Web Scrapers, and Firefox extensions for Outwit are the best tools for beginners in web cutting. Web extraction is basically used to cut this manual extraction and editing process and provide an easy and better way to collect data from a web page and convert it into the desired format and save it to a local or archive directory. In this study, among other kinds of scrub, we focus on those techniques that extract the content of a web page. In particular, we use scrubbing techniques for a variety of diseases with their own symptoms and precautions.Detection of Malicious Web Links Using Machine Learning Algorithm: A Review
The document provides a review of machine learning techniques used to detect malicious web links. It discusses traditional detection methods like blacklisting and signatures then focuses on machine learning approaches. Common algorithms discussed are decision trees, random forests, SVM, and Naive Bayes. The review compares techniques, datasets, and evaluation metrics. It highlights challenges like data imbalance and lack of generalization. Potential future areas discussed are deep learning, ensemble methods, and explainable machine learning to improve performance in detecting malicious web links.
Web Crawler For Mining Web Data
The document discusses web crawlers, which are computer programs that systematically browse the World Wide Web and download web pages and content. It provides an overview of the history and development of web crawlers, how they work by following links from page to page to index content for search engines, and the policies that govern how they select, revisit, and prioritize pages in a polite and parallelized manner.
IRJET - An Automated System for Detection of Social Engineering Phishing Atta...
1) The document presents a machine learning approach to detect phishing URLs using logistic regression. It trains a logistic regression model on a dataset of 420,467 URLs that have been classified as either phishing or legitimate.
2) It preprocesses the URLs using tokenization before training the logistic regression model. The trained model is able to classify new URLs with 96% accuracy as either phishing or legitimate based on the URL features.
3) The proposed approach provides an automated way to detect phishing URLs in real-time and help prevent phishing attacks. Future work could involve developing a browser extension using this approach and increasing the dataset size for higher accuracy.
IRJET - Review on Search Engine Optimization
This document discusses search engine optimization (SEO) and how search engines work. It covers the key processes of crawling, indexing, and ranking that search engines use to find and organize web content. Crawling involves search engine bots finding and downloading web pages. Indexing processes and stores the crawled content in a searchable database. Ranking determines the order search results are displayed, with more relevant pages ranking higher. The document provides technical details on Google's architecture and algorithms to perform these core functions at scale across the vastness of the internet.
Large-Scale Web Scraping: An Ultimate Guide
In this guide, we will go over all the core concepts of large-scale web scraping and learn everything about it, from challenges to best practices. Large Scale Web Scraping is scraping web pages and extracting data from them. This can be done manually or with automated tools. The extracted data can then be used to build charts and graphs, create reports and perform other analyses on the data. It can be used to analyze large amounts of data, like traffic on a website or the number of visitors they receive. In addition, It can also be used to test different website versions so that you know which version gets more traffic than others.
Large Scale Web Scraping is an essential tool for businesses as it allows them to analyze their audience's behavior on different websites and compare which performs better. Large-scale scraping is a task that requires a lot of time, knowledge, and experience. It is not easy to do, and there are many challenges that you need to overcome in order to succeed. Performance is one of the significant challenges in large-scale web scraping.
The main reason for this is the size of web pages and the number of links resulting from the increased use of AJAX technology. This makes it difficult to scrape data from many web pages accurately and quickly. Web structure is the most crucial challenge in scraping. The structure of a web page is complex, and it is hard to extract information from it automatically. This problem can be solved using a web crawler explicitly developed for this task. Anti-Scraping Technique
Another major challenge that comes when you want to scrape the website at a large scale is anti-scraping. It is a method of blocking the scraping script from accessing the site.
If a site's server detects that it has been accessed from an external source, it will respond by blocking access to that external source and preventing scraping scripts from accessing it. Large-scale web scraping requires a lot of data and is challenging to manage. It is not a one-time process but a continuous one requiring regular updates. Here are some of the best practices for large-scale web scraping:
1. Create Crawling Path
The first thing to scrape extensive data is to create a crawling path. Crawling is systematically exploring a website and its content to gather information.
Data Warehouse
The data warehouse is a storehouse of enterprise data that is analyzed, consolidated, and analyzed to provide the business with valuable information. Proxy Service
Proxy service is a great way to scrape large-scale data. It can be used for scraping images, blog posts, and other types of data from the Internet. Detecting Bots & Blocking
Bots are a real problem for scraping. They are used to extract data from websites and make it available for human consumption. They do this by using software designed to mimic a human user so that when the bot does something on a website, it looks like a real human user was doing it.
2000-08.doc
The PagePrompter system uses data mining techniques to create an intelligent agent that provides recommendations to users navigating a website. It has three main modules: 1) The usage mining module analyzes web logs to find frequent patterns and association rules using Apriori and clusters pages using leader clustering and C4.5. 2) The recommendation module provides suggestions to users based on their actions and the database. 3) The adaptive pages module generates customized pages and interfaces with the database. PagePrompter aims to help users efficiently find information on a site by learning from usage data and behavior.
2000-08.doc
The PagePrompter system uses data mining techniques to create an intelligent agent that provides recommendations to users navigating a website. It has three main modules: 1) The usage mining module analyzes web logs to find patterns like association rules and page clusters using algorithms like Apriori and leader clustering. 2) The recommendation module provides suggestions to users based on their actions and patterns learned from the logs. 3) The adaptive pages module generates customized pages for users based on their profiles and behavior. The system aims to help users efficiently find information on a site by learning from log data and user interactions.
A Survey on: Utilizing of Different Features in Web Behavior Prediction
As the web user increases day by day, there are many websites which have a large
number of visitors at the same instant. So handing of these user required different technique. Out of
these requirements one emerging field is next page prediction, where as per the user navigation
pattern different features has been studied and predict the next page for the user. By this overall web
server response time is reduce. In this paper a detailed study of the different researcher paper has
shown, there techniques outcomes and list of features utilization such as web structure, web log, web
content.
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
The size of the internet is large and it had grown enormously search engines are the tools for Web site navigation and search. Search engines maintain indices for web documents and provide search facilities by continuously downloading Web pages for processing. This process of downloading web pages is known as web crawling. In this paper we propose the architecture for Effective Migrating Parallel Web Crawling approach with domain specific and incremental crawling strategy that makes web crawling system more effective and efficient. The major advantages of migrating parallel web crawler are that the analysis portion of the crawling process is done locally at the residence of data rather than inside the Web search engine repository. This significantly reduces network load and traffic which in turn improves the performance, effectiveness and efficiency of the crawling process. The another advantage of migrating parallel crawler is that as the size of the Web grows, it becomes necessary to parallelize a crawling process, in order to finish downloading web pages in a comparatively shorter time. Domain specific crawling will yield high quality pages. The crawling process will migrate to host or server with specific domain and start downloading pages within specific domain. Incremental crawling will keep the pages in local database fresh thus increasing the quality of downloaded pages.
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
The size of the internet is large and it had grown enormously search engines are the tools for Web site navigation and search. Search engines maintain indices for web documents and provide search facilities by continuously downloading Web pages for processing. This process of downloading web pages is known as web crawling. In this paper we propose the architecture for Effective Migrating Parallel Web Crawling approach with domain specific and incremental crawling strategy that makes web crawling system more effective and efficient. The major advantages of migrating parallel web crawler are that the analysis portion of the crawling process is done locally at the residence of data rather than inside the Web search engine repository. This significantly reduces network load and traffic which in turn improves the performance, effectiveness and efficiency of the crawling process. The another advantage of migrating parallel crawler is that as the size of the Web grows, it becomes necessary to parallelize a crawling process, in order to finish downloading web pages in a comparatively shorter time. Domain specific crawling will yield high quality pages. The crawling process will migrate to host or server with specific domain and start downloading pages within specific domain. Incremental crawling will keep the pages in local database fresh thus increasing the quality of downloaded pages.
Lecture #18 - #20: Web Browser and Web Application Security
This document summarizes a lecture on web application security. It discusses the architecture of web browsers and potential vulnerabilities, including man-in-the-browser attacks, keystroke loggers, and page substitution attacks. It also covers common vulnerabilities in web applications like injection flaws, broken authentication, sensitive data exposure, and incorrect access control settings. The goal is to educate about key security risks to web browsers and applications.
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium
sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the
environment, regional end-to-end public transport services are established by analyzing online travel data.
The usage of computer programs for processing of the web page is necessary for accessing to a large
number of the carpool data. In the paper, web crawlers are designed to capture the travel data from
several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used.
The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient
method of data collecting to the program.
Design and Implementation of Carpool Data Acquisition Program Based on Web Cr...
Now the public traffics make the life more and more convenient. The amount of vehicles in large or medium sized cities is also in the rapid growth. In order to take full advantage of social resources and protect the environment, regional end-to-end public transport services are established by analyzing online travel data. The usage of computer programs for processing of the web page is necessary for accessing to a large number of the carpool data. In the paper, web crawlers are designed to capture the travel data from several large service sites. In order to maximize the access to traffic data, a breadth-first algorithm is used. The carpool data will be saved in a structured form. Additionally, the paper has provided a convenient method of data collecting to the program.
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
The document describes a web crawler designed to collect carpool data from websites. It begins with an introduction to the need for efficient carpool data collection and issues with existing methods. It then details the design and implementation of the web crawler program. Key aspects summarized are:
1) The web crawler uses a breadth-first search algorithm to crawl links across multiple pages and maximize data collection. It filters URLs to remove duplicates and irrelevant links.
2) It analyzes pages using the BeautifulSoup library to extract relevant text data and links. It stores cleaned data in a structured format.
3) The program architecture involves crawling URLs, cleaning the URL list, and then crawling pages to extract carpool data fields using BeautifulSoup functions
Similar to Web crawler synopsis (20)
Implementation of Web Application for Disease Prediction Using AI
Implementation of Web Application for Disease Prediction Using AI
Implementation ofWeb Application for Disease Prediction Using AI
Implementation ofWeb Application for Disease Prediction Using AI
Detection of Malicious Web Links Using Machine Learning Algorithm: A Review
Detection of Malicious Web Links Using Machine Learning Algorithm: A Review
IRJET - An Automated System for Detection of Social Engineering Phishing Atta...
IRJET - An Automated System for Detection of Social Engineering Phishing Atta...
A Survey on: Utilizing of Different Features in Web Behavior Prediction
A Survey on: Utilizing of Different Features in Web Behavior Prediction
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
AN EXTENDED MODEL FOR EFFECTIVE MIGRATING PARALLEL WEB CRAWLING WITH DOMAIN S...
Lecture #18 - #20: Web Browser and Web Application Security
Lecture #18 - #20: Web Browser and Web Application Security
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
Design and Implementation of Carpool Data Acquisition Program Based on Web Cr...
Design and Implementation of Carpool Data Acquisition Program Based on Web Cr...
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
DESIGN AND IMPLEMENTATION OF CARPOOL DATA ACQUISITION PROGRAM BASED ON WEB CR...
More from Mayur Garg
16 high speedla-ns
This document discusses high-speed local area networks (LANs) including Fast and Gigabit Ethernet. It describes how LAN usage has evolved from basic connectivity to supporting large file transfers and graphics-intensive applications. It also outlines some key applications that require high-speed LANs like centralized server farms and power workgroups. The document then reviews different LAN technologies like Ethernet, token ring, and wireless and how carrier sense multiple access with collision detection (CSMA/CD) works. It concludes by discussing Fast Ethernet specifications and how Gigabit Ethernet differs.
Attitude
The document discusses the iceberg phenomenon, where only 10% of an iceberg is visible above water while 90% is below the surface. It states this also applies to humans, where only a small portion of one's knowledge, skills, attitudes and behaviors are visible to others, while much remains unseen below the surface. It then provides examples of positive attitudes and quotes about cultivating a positive attitude.
Accent seminar
This document analyzes, models, and synthesizes British, Australian, and American accents. It discusses the acoustic differences between accents, including differences in phonetic transcriptions and realizations, as well as prosodic correlates like formants, pitch, duration, and voice quality. The document then describes methods for accent analysis using tools like HMMs, formant tracking, and pitch estimation. It also presents techniques for accent morphing through formant and prosody modification to transform a source accent into a target one.
16 high speedla-ns
This document discusses high-speed local area networks (LANs). It describes how LAN traffic and needs have increased with more powerful PCs and graphics-intensive applications. Applications that require high-speed LANs include centralized server farms and power workgroups that transfer large data files. Common high-speed LAN technologies discussed include Fast and Gigabit Ethernet, Fibre Channel, and high-speed wireless LANs.
Wireless presentation-1
The document discusses wireless local area networks (WLANs) and the IEEE 802.11 standards. It describes some of the challenges of wireless transmissions and provides an overview of the IEEE 802.11 standards including 802.11, 802.11a, 802.11b, 802.11e, and 802.11g. It also summarizes the IEEE 802.11 network architecture including the physical layer, data link layer, and different network topologies like IBSS, BSS, and ESS.
More from Mayur Garg (6)
Recently uploaded
Astute Business Solutions | Oracle Cloud Partner |
Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
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!
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
June Patch Tuesday
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Programming Foundation Models with DSPy - Meetup Slides
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.
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
AppSec PNW: Android and iOS Application Security with MobSF
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Leveraging the Graph for Clinical Trials and Standards
Katja Glaß
OpenStudyBuilder Community Manager - Katja Glaß Consulting
Marius Conjeaud
Principal Consultant - Neo4j
"Choosing proper type of scaling", Olena Syrota
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Taking AI to the Next Level in Manufacturing.pdf
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Fueling AI with Great Data with Airbyte Webinar
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Essentials of Automations: Exploring Attributes & Automation Parameters
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Recently uploaded (20)
Astute Business Solutions | Oracle Cloud Partner |
Astute Business Solutions | Oracle Cloud Partner |
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
AppSec PNW: Android and iOS Application Security with MobSF
AppSec PNW: Android and iOS Application Security with MobSF
Leveraging the Graph for Clinical Trials and Standards
Leveraging the Graph for Clinical Trials and Standards
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Web crawler synopsis
- 1. Y.M.C.A UniversitY of sCienCe And teChnologY, fAridAbAd ProJeCt sYnoPsis _______________________________________________________ Web CrAWler _______________________________________________________ MAYUR GARG Rol no. :- IT-2337-2k7 Mentor: - Mrs DEEPIKA Email: - Mayurgarg2@gmail.com Objective/ Aim:
- 2. This project aims at developing a highly efficient WEB CRAWLER that browses the World Wide Web in a methodical, automated manner. Introduction: A Web crawler is a computer program that browses the World Wide Web in a methodical, automated manner. Other terms for Web crawlers are ants, automatic indexers, bots, and worms or Web spider, Web robot, or— especially in the FOAF community—Web scutter. The process is called Web crawling or spidering. Many sites, in particular search engines, use spidering as a means of providing up-to-date data. Web crawlers are mainly used to create a copy of all the visited pages for later processing by a search engine that will index the downloaded pages to provide fast searches. A Web crawler is one type of bot, or software agent. In general, it starts with a list of URLs to visit, called the seeds. As the crawler visits these URLs, it identifies all the hyperlinks in the page and adds them to the list of URLs to visit, called the crawl frontier. URLs from the frontier are recursively visited according to a set of policies. Machine specification: 640MB Memory, 100Mbps Ether, Win XP/VISTA, Jdk1.6, Database Client.