Natural Language Processing Technique for Information Extraction and Analysis
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Security Log Analysis Using Hadoop Harikrishna Annangi Harikrishna Annangi, [email protected]
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by St. Cloud State University St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 3-2017 Security Log Analysis Using Hadoop Harikrishna Annangi Harikrishna Annangi, [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Annangi, Harikrishna, "Security Log Analysis Using Hadoop" (2017). Culminating Projects in Information Assurance. 19. https://repository.stcloudstate.edu/msia_etds/19 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. Security Log Analysis Using Hadoop by Harikrishna Annangi A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Information Assurance April, 2016 Starred Paper Committee: Dr. Dennis Guster, Chairperson Dr. Susantha Herath Dr. Sneh Kalia 2 Abstract Hadoop is used as a general-purpose storage and analysis platform for big data by industries. Commercial Hadoop support is available from large enterprises, like EMC, IBM, Microsoft and Oracle and Hadoop companies like Cloudera, Hortonworks, and Map Reduce. Hadoop is a scheme written in Java that allows distributed processes of large data sets across clusters of computers using programming models. A Hadoop frame work application works in an environment that provides storage and computation across clusters of computers. -
Building a Scalable Index and a Web Search Engine for Music on the Internet Using Open Source Software
Department of Information Science and Technology Building a Scalable Index and a Web Search Engine for Music on the Internet using Open Source software André Parreira Ricardo Thesis submitted in partial fulfillment of the requirements for the degree of Master in Computer Science and Business Management Advisor: Professor Carlos Serrão, Assistant Professor, ISCTE-IUL September, 2010 Acknowledgments I should say that I feel grateful for doing a thesis linked to music, an art which I love and esteem so much. Therefore, I would like to take a moment to thank all the persons who made my accomplishment possible and hence this is also part of their deed too. To my family, first for having instigated in me the curiosity to read, to know, to think and go further. And secondly for allowing me to continue my studies, providing the environment and the financial means to make it possible. To my classmate André Guerreiro, I would like to thank the invaluable brainstorming, the patience and the help through our college years. To my friend Isabel Silva, who gave me a precious help in the final revision of this document. Everyone in ADETTI-IUL for the time and the attention they gave me. Especially the people over Caixa Mágica, because I truly value the expertise transmitted, which was useful to my thesis and I am sure will also help me during my professional course. To my teacher and MSc. advisor, Professor Carlos Serrão, for embracing my will to master in this area and for being always available to help me when I needed some advice. -
Open Search Environments: the Free Alternative to Commercial Search Services
Open Search Environments: The Free Alternative to Commercial Search Services. Adrian O’Riordan ABSTRACT Open search systems present a free and less restricted alternative to commercial search services. This paper explores the space of open search technology, looking in particular at lightweight search protocols and the issue of interoperability. A description of current protocols and formats for engineering open search applications is presented. The suitability of these technologies and issues around their adoption and operation are discussed. This open search approach is especially useful in applications involving the harvesting of resources and information integration. Principal among the technological solutions are OpenSearch, SRU, and OAI-PMH. OpenSearch and SRU realize a federated model to enable content providers and search clients communicate. Applications that use OpenSearch and SRU are presented. Connections are made with other pertinent technologies such as open-source search software and linking and syndication protocols. The deployment of these freely licensed open standards in web and digital library applications is now a genuine alternative to commercial and proprietary systems. INTRODUCTION Web search has become a prominent part of the Internet experience for millions of users. Companies such as Google and Microsoft offer comprehensive search services to users free with advertisements and sponsored links, the only reminder that these are commercial enterprises. Businesses and developers on the other hand are restricted in how they can use these search services to add search capabilities to their own websites or for developing applications with a search feature. The closed nature of the leading web search technology places barriers in the way of developers who want to incorporate search functionality into applications. -
Efficient Focused Web Crawling Approach for Search Engine
Ayar Pranav et al, International Journal of Computer Science and Mobile Computing, Vol.4 Issue.5, May- 2015, pg. 545-551 Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology ISSN 2320–088X IJCSMC, Vol. 4, Issue. 5, May 2015, pg.545 – 551 RESEARCH ARTICLE Efficient Focused Web Crawling Approach for Search Engine 1 2 Ayar Pranav , Sandip Chauhan Computer & Science Engineering, Kalol Institute of Technology and Research Canter, Kalol, Gujarat, India 1 [email protected]; 2 [email protected] Abstract— a focused crawler traverses the web, selecting out relevant pages to a predefined topic and neglecting those out of concern. Collecting domain specific documents using focused crawlers has been considered one of most important strategies to find relevant information. While surfing the internet, it is difficult to deal with irrelevant pages and to predict which links lead to quality pages. However most focused crawler use local search algorithm to traverse the web space, but they could easily trapped within limited a sub graph of the web that surrounds the starting URLs also there is problem related to relevant pages that are miss when no links from the starting URLs. There is some relevant pages are miss. To address this problem we design a focused crawler where calculating the frequency of the topic keyword also calculate the synonyms and sub synonyms of the keyword. The weight table is constructed according to the user query. To check the similarity of web pages with respect to topic keywords and priority of extracted link is calculated. -
Distributed Indexing/Searching Workshop Agenda, Attendee List, and Position Papers
Distributed Indexing/Searching Workshop Agenda, Attendee List, and Position Papers Held May 28-19, 1996 in Cambridge, Massachusetts Sponsored by the World Wide Web Consortium Workshop co-chairs: Michael Schwartz, @Home Network Mic Bowman, Transarc Corp. This workshop brings together a cross-section of people concerned with distributed indexing and searching, to explore areas of common concern where standards might be defined. The Call For Participation1 suggested particular focus on repository interfaces that support efficient and powerful distributed indexing and searching. There was a great deal of interest in this workshop. Because of our desire to limit attendance to a workable size group while maximizing breadth of attendee backgrounds, we limited attendance to one person per position paper, and furthermore we limited attendance to one person per institution. In some cases, attendees submitted multiple position papers, with the intention of discussing each of their projects or ideas that were relevant to the workshop. We had not anticipated this interpretation of the Call For Participation; our intention was to use the position papers to select participants, not to provide a forum for enumerating ideas and projects. As a compromise, we decided to choose among the submitted papers and allow multiple position papers per person and per institution, but to restrict attendance as noted above. Hence, in the paper list below there are some cases where one author or institution has multiple position papers. 1 http://www.w3.org/pub/WWW/Search/960528/cfp.html 1 Agenda The Distributed Indexing/Searching Workshop will span two days. The first day's goal is to identify areas for potential standardization through several directed discussion sessions. -
United States Patent (19) 11 Patent Number: 6,094,649 Bowen Et Al
US006094649A United States Patent (19) 11 Patent Number: 6,094,649 Bowen et al. (45) Date of Patent: Jul. 25, 2000 54) KEYWORD SEARCHES OF STRUCTURED “Charles Schwab Broadens Deployment of Fulcrum-Based DATABASES Corporate Knowledge Library Application', Uknown, Full 75 Inventors: Stephen J Bowen, Sandy; Don R crum Technologies Inc., Mar. 3, 1997, pp. 1-3. Brown, Salt Lake City, both of Utah (List continued on next page.) 73 Assignee: PartNet, Inc., Salt Lake City, Utah 21 Appl. No.: 08/995,700 Primary Examiner-Hosain T. Alam 22 Filed: Dec. 22, 1997 Assistant Examiner Thuy Pardo Attorney, Agent, or Firm-Computer Law---- (51) Int. Cl." ...................................................... G06F 17/30 52 U.S. Cl. ......................................... 707/3; 707/5; 707/4 (57 ABSTRACT 58 Field of Search .................................... 707/1, 2, 3, 4, 707/5, 531, 532,500 Methods and Systems are provided for Supporting keyword Searches of data items in a structured database, Such as a 56) References Cited relational database. Selected data items are retrieved using U.S. PATENT DOCUMENTS an SQL query or other mechanism. The retrieved data values 5,375,235 12/1994 Berry et al. ................................. is are documented using a markup language such as HTML. 5,469,354 11/1995 Hatakeyama et al. ... 707/3 The documents are indexed using a web crawler or other 5,546,578 8/1996 Takada ................. ... 707/5 indexing agent. Data items may be Selected for indexing by 5,685,003 11/1997 Peltonen et al. .. ... 707/531 5,787.295 7/1998 Nakao ........... ... 707/500 identifying them in a data dictionary. The indexing agent 5,787,421 7/1998 Nomiyama .. -
1.3.4 Web Technologies Concise Notes
OCR Computer Science A Level 1.3.4 Web Technologies Concise Notes www.pmt.education Specification 1.3.4 a) ● HTML ● CSS ● JavaScript 1.3.4 b) ● Search engine indexing 1.3.4 c) ● PageRank algorithm 1.3.4 d) ● Server and Client side processing www.pmt.education Web Development HTML ● HTML is the language/script that web pages are written in, ● It allows a browser to interpret and render a webpage for the viewer by describing the structure and order of the webpage. ● The language uses tags written in angle brackets (<tag>, </tag>) there are two sections of a webpage, a body and head. HTML Tags ● <html> : all code written within these tags is interpreted as HTML, ● <body> :Defines the content in the main browser content area, ● <link> :this is used to link to a css stylesheet (explained later in the notes) ● <head> :Defines the browser tab or window heading area, ● <title> :Defines the text that appears with the tab or window heading area, ● <h1>, <h2>, <h3> :Heading styles in decreasing sizes, ● <p> :A paragraph separated with a line space above and below ● <img> :Self closing image with parameters (img src = location, height=x, width = y) ● <a> : Anchor tag defining a hyperlink with location parameters (<a href= location> link text </a>) ● <ol> :Defines an ordered list, ● <ul> :Defines an unordered list, ● <li> :defines an individual list item ● <div> :creates a division of a page into separate areas each which can be referred to uniquely by name, (<div id= “page”>) Classes and Identifiers ● Class and identifier selectors are the names which you style, this means groups of items can be styled, the selectors for html are usually the div tags. -
Building a Search Engine for the Cuban Web
Building a Search Engine for the Cuban Web Jorge Luis Betancourt Search/Crawl Engineer NOVEMBER 16-18, 2016 • SEVILLE, SPAIN Who am I 01 Jorge Luis Betancourt González Search/Crawl Engineer Apache Nutch Committer & PMC Apache Solr/ES enthusiast 2 Agenda • Introduction & motivation • Technologies used • Customizations • Conclusions and future work 3 Introduction / Motivation Cuba Internet Intranet Global search engines can’t access documents hosted the Cuban Intranet 4 Writing your own web search engine from scratch? or … 5 Common search engine features 1 Web search: HTML & documents (PDF, DOC) • highlighting • suggestions • filters (facets) • autocorrection 2 Image search (size, format, color, objects) • thumbnails • show metadata • filters (facets) • match text with images 3 News search (alerting, notifications) • near real time • email, push, SMS 6 How to fulfill these requirements? store query At the core a search engine: stores some information a retrieve this information when a question is received 7 Open Source to the rescue … crawler 1 Index Server 2 web interface 3 8 Apache Nutch Nutch is a well matured, production ready “ Web crawler. Enables fine grained configuration, relying on Apache Hadoop™ data structures, which are great for batch processing. 9 Apache Nutch • Highly scalable • Highly extensible • Pluggable parsing protocols, storage, indexing, scoring, • Active community • Apache License 10 Apache Solr TOTAL DOWNLOADS 8M+ MONTHLY DOWNLOADS 250,000+ • Apache License • Great community • Highly modular • Stability / Scalability -
An Ontology-Based Web Crawling Approach for the Retrieval of Materials in the Educational Domain
An Ontology-based Web Crawling Approach for the Retrieval of Materials in the Educational Domain Mohammed Ibrahim1 a and Yanyan Yang2 b 1School of Engineering, University of Portsmouth, Anglesea Road, PO1 3DJ, Portsmouth, United Kingdom 2School of Computing, University of Portsmouth, Anglesea Road, PO1 3DJ, Portsmouth, United Kingdom Keywords: Web Crawling, Ontology, Education Domain. Abstract: As the web continues to be a huge source of information for various domains, the information available is rapidly increasing. Most of this information is stored in unstructured databases and therefore searching for relevant information becomes a complex task and the search for pertinent information within a specific domain is time-consuming and, in all probability, results in irrelevant information being retrieved. Crawling and downloading pages that are related to the user’s enquiries alone is a tedious activity. In particular, crawlers focus on converting unstructured data and sorting this into a structured database. In this paper, among others kind of crawling, we focus on those techniques that extract the content of a web page based on the relations of ontology concepts. Ontology is a promising technique by which to access and crawl only related data within specific web pages or a domain. The methodology proposed is a Web Crawler approach based on Ontology (WCO) which defines several relevance computation strategies with increased efficiency thereby reducing the number of extracted items in addition to the crawling time. It seeks to select and search out web pages in the education domain that matches the user’s requirements. In WCO, data is structured based on the hierarchical relationship, the concepts which are adapted in the ontology domain. -
A Hadoop Based Platform for Natural Language Processing of Web Pages and Documents
Journal of Visual Languages and Computing 31 (2015) 130–138 Contents lists available at ScienceDirect Journal of Visual Languages and Computing journal homepage: www.elsevier.com/locate/jvlc A hadoop based platform for natural language processing of web pages and documents Paolo Nesi n,1, Gianni Pantaleo 1, Gianmarco Sanesi 1 Distributed Systems and Internet Technology Lab, DISIT Lab, Department of Information Engineering (DINFO), University of Florence, Firenze, Italy article info abstract Available online 30 October 2015 The rapid and extensive pervasion of information through the web has enhanced the Keywords: diffusion of a huge amount of unstructured natural language textual resources. A great Natural language processing interest has arisen in the last decade for discovering, accessing and sharing such a vast Hadoop source of knowledge. For this reason, processing very large data volumes in a reasonable Part-of-speech tagging time frame is becoming a major challenge and a crucial requirement for many commercial Text parsing and research fields. Distributed systems, computer clusters and parallel computing Web crawling paradigms have been increasingly applied in the recent years, since they introduced Big Data Mining significant improvements for computing performance in data-intensive contexts, such as Parallel computing Big Data mining and analysis. Natural Language Processing, and particularly the tasks of Distributed systems text annotation and key feature extraction, is an application area with high computational requirements; therefore, these tasks can significantly benefit of parallel architectures. This paper presents a distributed framework for crawling web documents and running Natural Language Processing tasks in a parallel fashion. The system is based on the Apache Hadoop ecosystem and its parallel programming paradigm, called MapReduce. -
Curlcrawler:A Framework of Curlcrawler and Cached Database for Crawling the Web with Thumb
Ela Kumaret al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 2 (4) , 2011, 1700-1705 CurlCrawler:A framework of CurlCrawler and Cached Database for crawling the web with thumb. Dr Ela Kumar#,Ashok Kumar$ # School of Information and Communication Technology, Gautam Buddha University, Greater Noida $ AIM & ACT.Banasthali University,Banasthali(Rajasthan.) Abstract-WWW is a vast source of information and search engines about basic modules of search engine functioning and these are the meshwork to navigate the web for several purposes. It is essential modules are (see Fig.1)[9,10]. problematic to identify and ping with graphical frame of mind for the desired information amongst the large set of web pages resulted by the search engine. With further increase in the size of the Internet, the problem grows exponentially. This paper is an endeavor to develop and implement an efficient framework with multi search agents to make search engines inapt to chaffing using curl features of the programming, called CurlCrawler. This work is an implementation experience for use of graphical perception to upright search on the web. Main features of this framework are curl programming, personalization of information, caching and graphical perception. Keywords and Phrases-Indexing Agent, Filtering Agent, Interacting Agent, Seolinktool, Thumb, Whois, CachedDatabase, IECapture, Searchcon, Main_spider, apnasearchdb. 1. INTRODUCTION Information is a vital role playing versatile thing from availability at church level to web through trends of books. WWW is now the prominent and up-to-date huge repository of information available to everyone, everywhere and every time. Moreover information on web is navigated using search Fig.1: Components of Information Retrieval System engines like AltaVista, WebCrawler, Hot Boat etc[1].Amount of information on the web is growing at very fast and owing to this search engine’s optimized functioning is always a thrust Store: It stores the crawled pages. -
Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites
Master Thesis Computer Science Thesis no: MCS-2011-10 March, 2011 __________________________________________________________________________ Exploring Search Engine Optimization (SEO) Techniques for Dynamic Websites Wasfa Kanwal School of Computing Blekinge Institute of Technology SE – 371 39 Karlskrona Sweden This thesis is submitted to the School of Computing at Blekinge Institute of Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science. The thesis is equivalent to 20 weeks of full time studies. ___________________________________________________________________________________ Contact Information: Author: Wasfa Kanwal E-mail: [email protected] University advisor: Martin Boldt, PhD. School of Computing School of Computing Internet : www.bth.se/com Blekinge Institute of Technology Phone : +46 455 38 50 00 SE – 371 39 Karlskrona Fax : +46 455 38 50 57 Sweden ii ABSTRACT Context: With growing number of online businesses, Search Engine Optimization (SEO) has become vital to capitalize a business because SEO is key factor for marketing an online business. SEO is the process to optimize a website so that it ranks well on Search Engine Result Pages (SERPs). Dynamic websites are commonly used for e-commerce because they are easier to update and expand; however they are subjected to indexing related problems. Objectives: This research aims to examine and address dynamic websites indexing related issues. To achieve aims and objectives of this research I intend to explore dynamic websites indexing considerations, investigate SEO tools to carry SEO campaign in three major search engines (Google, Yahoo and Bing), experiment SEO techniques, and determine to what extent dynamic websites can be made search engine friendly on these major search engines.