Finding things that we are hard to find
A large portion of data available on the web is present in the so called deep web..
World Wide Web content that is not part of the Surface Web and is indexed by search engines.
It is called the Deep Web, Invisible Web or Hidden Web.
Finding things that we are hard to find
A large portion of data available on the web is present in the so called deep web..
World Wide Web content that is not part of the Surface Web and is indexed by search engines.
It is called the Deep Web, Invisible Web or Hidden Web.
The Deep and Dark Web - Spooky Halloween Information Security Lecture -- Info...Nicholas Davis
Horrible things happen on the Deep Web. It is important for information security professionals to know about this topic, so that we can help to stop the problem. Silence is acquiescence----If you see something horribly wrong, you have got to speak up and be part of the solution to stop it. Contact the FBI or local law enforcement.
Spooky Halloween IT Security Lecture -- The Deep WebNicholas Davis
On the occasion of Halloween, I like to give the students in my IS 365 Information Security class at the University of Wisconsin-Madison, a break from the normal course material. Therefore, today, I presented a class lecture on the Deep Web (the hidden, scary and dark side of the Internet) Appropriate for this spooky time of year. While it was intended to be fun, it also sparked good conversation within the class, and they learned some solid concepts about ways in which people try to evade IT security controls, to preserve anonymity.
Most investigators turn to Google and common social media platforms such as Facebook and Twitter to conduct research for their investigations. However, much of the Internet is inaccessible through simple searches, and criminals are increasingly turning to the dark web to conduct illicit business.
The dark web is anonymous and requires a special browser to access and some knowledge of how to navigate it safely. However, used properly, it can be a valuable source of information for investigators. It’s worthwhile for every investigator to develop the skills and knowledge to mine this treasure trove of dark data.
Join Chad Los Schumacher, investigator and researcher at iThreat Cyber Group, as he leads participants on an exploration of investigations in the dark web.
Webinar attendees will learn:
What the dark web is and how it fits into the rest of the worldwide web
What can be found on the dark web
How to get to the dark web using Tor and other browsers
How to locate common hubs and resources on the dark web and explore what they have to offer
How to bring leads from the dark web to the surface in an investigation
The Deep and Dark Web - Spooky Halloween Information Security Lecture -- Info...Nicholas Davis
Horrible things happen on the Deep Web. It is important for information security professionals to know about this topic, so that we can help to stop the problem. Silence is acquiescence----If you see something horribly wrong, you have got to speak up and be part of the solution to stop it. Contact the FBI or local law enforcement.
Spooky Halloween IT Security Lecture -- The Deep WebNicholas Davis
On the occasion of Halloween, I like to give the students in my IS 365 Information Security class at the University of Wisconsin-Madison, a break from the normal course material. Therefore, today, I presented a class lecture on the Deep Web (the hidden, scary and dark side of the Internet) Appropriate for this spooky time of year. While it was intended to be fun, it also sparked good conversation within the class, and they learned some solid concepts about ways in which people try to evade IT security controls, to preserve anonymity.
Most investigators turn to Google and common social media platforms such as Facebook and Twitter to conduct research for their investigations. However, much of the Internet is inaccessible through simple searches, and criminals are increasingly turning to the dark web to conduct illicit business.
The dark web is anonymous and requires a special browser to access and some knowledge of how to navigate it safely. However, used properly, it can be a valuable source of information for investigators. It’s worthwhile for every investigator to develop the skills and knowledge to mine this treasure trove of dark data.
Join Chad Los Schumacher, investigator and researcher at iThreat Cyber Group, as he leads participants on an exploration of investigations in the dark web.
Webinar attendees will learn:
What the dark web is and how it fits into the rest of the worldwide web
What can be found on the dark web
How to get to the dark web using Tor and other browsers
How to locate common hubs and resources on the dark web and explore what they have to offer
How to bring leads from the dark web to the surface in an investigation
This is a presentation on the deep web.I made this because I want to raise your awareness about Deep and Dark Web.
Don't be afraid to use it .Use it Properly to do good things.
The Deep Web, TOR Network and Internet AnonymityAbhimanyu Singh
Presentation Contents:
Introduction to Deep Web, Contents of the Deep Web, Accessing the Deep Web, Advisement, Deep Web vs. Surface Web, Importance of Anonymity and Privacy, and Conclusions.
The deep web is the world wide web content, but that is not the part of the surface web. Which is indexed by standard search engines. Which can’t be accessed by the conventional search engines. 400 to 500 time more public information are included in the deep web than the surface web. The total quantity of the deep web is 1000 to 2000 time greater than the surface web.
The dark side of internet, dark net and dark web, advantages and disadvantages of dark net, dark net vs deep net vs surface net, tor browser, some well-known websites in dark net, my conclusion about it.
Deep Web Stories_ Tales from the Unindexed Internet.pdfkabirhasan11
In this comprehensive article, we delve into the enigmatic world of the Deep Web, uncovering its mysteries, its significance, and the stories that remain hidden from mainstream search engines.
Right below the surface of where the iceberg meets underwater is the deep web.
It’s comprised of the same general hostnames as sites on the surface web, but along with the extension of those domains.
This is the specific URL of your Facebook Messenger thread with a friend, or the Department of Justice’s public archival material, or Harvard’s internal communications system. The deep web is the majority of the internet as a whole.
The dark web is like a secret internet, hidden and mysterious. People think it's full of bad stuff and danger, but it's also a place where some go to be safe and private. It's a mix of scary stories and places where people can hide online.
dark web Facts and understanding how it works
Extraction and Analysis System of Topics for Software History Reportsmartinp
Tesis para la carrera Ingeniería de Sistemas (Facultad de Cs. Exactas, UNICEN)
Título: Sistema de Extracción y Análisis de Tópicos sobre Historial de Reportes de Software
Descripción: Los tópicos son conjuntos de palabras que co-ocurren con frecuencia en el cuerpo de texto de un documento. Los tópicos han demostrado ser instrumentos eficaces para la descripción de los principales temas que abarca el contenido de un documento de texto.
En este trabajo he desarrollado una herramienta en Java para extracción de tópicos sobre reportes de bugs de la plataforma Android aplicando un modelo de tópicos llamado LDA. Esta herramienta también calcula diversos indicadores sobre los tópicos extraídos y se investigó manualmente cómo las métricas evolucionaron con el tiempo. Otra característica adicional es el motor de búsqueda de texto basado en Lucene y la tecnología de recuperación de documentos, incluida la indexación.-
Thesis for degree in Software Engineer (Faculty of Sciences, UNICEN University).
Title: Extraction and Analysis System of Topics for Software History Reports
Abstract: Topics are collections of words that co-occur frequently in a text corpus. Topics have been found to be effective tools for describing the major themes spanning a corpus. In this work I developed a java tool for extract topics over Android bug report dataset applying a topic model called LDA. This tool also compute various metrics on the identified topics and manually investigate how the metrics evolve over time. Other additional feature is full-text search engine based on Lucene and full-text retrieval technology, including indexing.-
Questo sono diapositive per una presentazione per la settimana della lingua italiana. Laboratorio Linguistico di la UNICEN in Tandil, Buenos Aires, Argentina - Italiano Livello 1
Int. a la Computación Evolutiva - Informe para cursadamartinp
Este es el informe que entregue para obetener la cursada de la materia optativa llamada Intruducción a la Computación Evolutiva de la Universidad Nacional del Centro de la Provincia de Buenos Aires.
Este es el enunciado con las pautas que se debieron completar en el trabajo final para una materia optativa llamada Software Libre/Código Abierto de la Universidad Nacional del Centro de la Provincia de Buenos Aires.
Ver la presentación con el informe.
Este es un informe sobre el trabajo realizado para una materia optativa llamada Software Libre/Código Abierto de la Universidad Nacional del Centro de la Provincia de Buenos Aires.
Ver la presentación con las pautas del enunciado.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
MASS MEDIA STUDIES-835-CLASS XI Resource Material.pdf
The Deep Web
1. Deep Web
That part of the Internet people don’t really know
about
English Course Level 4 - Facultad de Cs.
Exactas, UNICEN
By Martín Pacheco
2. What is it?
• The dark web, the hidden web, …is the “hidden” part of the web.
• Not part of surface web.
• Inaccessible to convertional search engines
and consequently to must users.
• Not indexed.
3. What's in the Deep Web?
• Drug purchage, illegal pornography
• Company secrets
• Hacking sites
• Whistleblowing sites
• Lots of goverment information
• Data sets
4. How BIG is the Deep Web?
• 550 billon / 1 billon documents
• 400 to 500 times the content of the surface web
• No domain names, thus making sites hard to find.
• Google has indentified 1.2 billon documents.
• An internet search typically searches .03% (1/3000) of available content.
7. How can you Access it?
• Download TOR (Firefox).
• Take precautions.
• Browse Websites on the Deep Web
•
Wikis, another indexes, some search engines…
• Very old, "90s style" looking websites.
• The use of a currency called "BitCoins".
8. Bibliography
1.
"THE DEEP WEB: SURFACING HIDDEN VALUE", Michael K. Bergman. The Journal
2.
"STRUCTURED DATABASES ON THE WEB: OBSERVATIONS AND IMPLICATIONS",
3.
4.
Electronic Publishing, Volume 7, Issue 1. August, 2001.
Kevin Chen-Chuan Chang, Bin He, Chengkai Li, Mitesh Patel, Zhen Zhang. Computer
Science Department, University of Illinois. 2004.
"ACCESSIBILITY OF INFORMATION ON THE WEB", S Lawrence, CL Giles. NEC
Research Institute, Princeton University. July, 1999.
"CRAWLING THE HIDDEN WEB", Sriram Raghavan,
Hector Garcia-Molina.
Computer Science Department, Stanford University. December, 2008.
