The DARPA Memex project aims to index and search the entire internet, including the dark web, using automated web crawlers. This raises privacy concerns as it could collect private information without oversight. The project is being used by law enforcement and NGOs to investigate crimes like human trafficking. However, without proper safeguards and transparency, it risks infringing on citizens' privacy and due process rights by collecting and retaining excessive personal data without oversight of how it is accessed and used.
Analysis, modelling and protection of online private data.Silvia Puglisi
Do we have online privacy? And what is privacy anyway in an online context?
This work aim at discovering what footprints users leave online and how these represent a threat to privacy.
Analysis, modelling and protection of online private data.Silvia Puglisi
Do we have online privacy? And what is privacy anyway in an online context?
This work aim at discovering what footprints users leave online and how these represent a threat to privacy.
A study of index poisoning in peer topeerIJCI JOURNAL
P2P file sharing systems are the most popular forms of file sharing to date. Its client-server architecture
attains faster file transfers, however with its peer anonymity and lack of authentication it has become a
gold mine for malicious attacks. One of the leading sources of disruptions in the P2P file sharing systems is
the index poisoning attacks. This attack seeks to corrupt the indexes used to reference files available for
download in P2P systems with false data. In order to protect the users from these attacks it is important to
find solutions to eliminate or mitigate the effects of index poisoning attacks. This paper will analyze index
poisoning attacks, their uses and solutions proposed to defend against them.
Online text data for machine learning, data science, and research - Who can p...Fredrik Olsson
This slide deck concerns online text data for machine learning, artificial intelligence, data science, and scientific research. After this talk, you’ll know who can provide online text data, what types of data are hard to get, and principal data hygiene factors.
Updated in August 2019.
Final Next Generation Content ManagementScott Abel
Presented by Tony Pietricola at the CM Pros Fall 2007 Summit, November 26, 2007.
This slide deck addresses:
- The future of websites and WCM
- Understanding the staying power of Web 2.0
- Integrating Web 2.0 and WCM strategies even though they are counter to each other
- Companies putting this to use
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.
Computer Forensic: A Reactive Strategy for Fighting Computer CrimeCSCJournals
Computer Forensics is the science of obtaining, preserving, documenting and presenting digital evidence, stored in the form of encoded information, from digital electronic storage devices, such as computers, Personal Digital Assistance (PDA), digital cameras, mobile phones and various memory storage devices. All must be done in a manner designed to preserve the probative value of the evidence and to assure its admissibility in legal proceeding. The word forensics means “to bring to the court”. Forensics deals primarily with the recovery and analysis of latent evidence. Latent evidence can take many forms, from fingerprints left on a window to deoxyribonucleic acid (DNA) evidence recovered from blood stains to the files on a hard drive. This paper provides a high-level overview on computer forensics investigation phases for both technical and nontechnical audience. Although the term “computer” is used, the concept applies to any device capable of storing digital information.
Findability Primer by Information Architected - the IA Primer SeriesDan Keldsen
Findability - The Art and Science of Making Content Findable
Why Findability is Critical Today
Content without access is worthless. With the advent and maturity of the Internet, what was once exclusively the domain of libraries and the private collections of enterprises is now a broadly understood issue.
Case in point: Moments ago, I entered the word “Findability” into a search tool that indexes the Internet.
More than 543,000 individual bodies of content were retrieved. Eureka – Findability solved, right? With a simple search, I am able to retrieve “all” of that content. No. The rules of the game have changed significantly.
Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Se...ijtsrd
Online Social Networks OSNs are providing a diversity of application for human users to network through families, friends and even strangers. One of such application, friend search engine, allows the universal public to inquiry individual client friend lists and has been gaining popularity recently. Proper design, this application may incorrectly disclose client private relationship information. Existing work has a privacy perpetuation clarification that can effectively boost OSNs' sociability while protecting users' friendship privacy against attacks launched by individual malicious requestors. In this project proposed an advanced collusion attack, where a victim user's friendship privacy can be compromise from side to side a series of cautiously designed queries coordinately launched by multiple malicious requestors. The result of the proposed collusion attack is validate through synthetic and real world social network data sets. The project on the advanced collusion attacks will help us design a more vigorous and securer friend search engine on OSNs in the near future. R. Brintha | H. Parveen Bagum "Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Search Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31687.pdf Paper Url :https://www.ijtsrd.com/computer-science/world-wide-web/31687/retrieving-hidden-friends-a-collusion-privacy-attack-against-online-friend-search-engine/r-brintha
La sociedad cívica tiene algunas expectativas básicas: Gente e instituciones, incluyendo gobiernos, deben comportarse según las leyes y la ética de la sociedad. Sin embargo, hoy en día la tecnología presta capacidades inesperadas y no bien conocidas. Estas tecnologías pueden chocar con la ética y las leyes de la sociedad. En particular, en sociedades modernas hay la expectativa de la privacidad de individuos y organizaciones.
En esta charla examinamos varias tecnologías que en muchos casos contradicen nuestras expectativas en cuanto a la privacidad. Veamos bases de datos estadísticos donde consultas deberían guardar la privacidad de los datos de individuos y varias tecnologías que permiten el monitoreo de la ubicación o el comportamiento de una persona o de las comunicaciones de la misma. También examinamos problemas relacionados con el uso de criptografía y el uso de marcas de agua, entro varios. En muchos casos, la tecnología compromete la privacidad, en algunos casos, presta más privacidad que es deseable.
A DARPA Project named Memex crawls the Deep web looking for content to index for law enforcement use. Their advanced algorithms are designed to by pass membership areas and pay walls as well as avoid detection by system administrators. Learn more:
http://christopher.killerpenguin.net/blog/darpaprojectmemexerodesprivacy
A study of index poisoning in peer topeerIJCI JOURNAL
P2P file sharing systems are the most popular forms of file sharing to date. Its client-server architecture
attains faster file transfers, however with its peer anonymity and lack of authentication it has become a
gold mine for malicious attacks. One of the leading sources of disruptions in the P2P file sharing systems is
the index poisoning attacks. This attack seeks to corrupt the indexes used to reference files available for
download in P2P systems with false data. In order to protect the users from these attacks it is important to
find solutions to eliminate or mitigate the effects of index poisoning attacks. This paper will analyze index
poisoning attacks, their uses and solutions proposed to defend against them.
Online text data for machine learning, data science, and research - Who can p...Fredrik Olsson
This slide deck concerns online text data for machine learning, artificial intelligence, data science, and scientific research. After this talk, you’ll know who can provide online text data, what types of data are hard to get, and principal data hygiene factors.
Updated in August 2019.
Final Next Generation Content ManagementScott Abel
Presented by Tony Pietricola at the CM Pros Fall 2007 Summit, November 26, 2007.
This slide deck addresses:
- The future of websites and WCM
- Understanding the staying power of Web 2.0
- Integrating Web 2.0 and WCM strategies even though they are counter to each other
- Companies putting this to use
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.
Computer Forensic: A Reactive Strategy for Fighting Computer CrimeCSCJournals
Computer Forensics is the science of obtaining, preserving, documenting and presenting digital evidence, stored in the form of encoded information, from digital electronic storage devices, such as computers, Personal Digital Assistance (PDA), digital cameras, mobile phones and various memory storage devices. All must be done in a manner designed to preserve the probative value of the evidence and to assure its admissibility in legal proceeding. The word forensics means “to bring to the court”. Forensics deals primarily with the recovery and analysis of latent evidence. Latent evidence can take many forms, from fingerprints left on a window to deoxyribonucleic acid (DNA) evidence recovered from blood stains to the files on a hard drive. This paper provides a high-level overview on computer forensics investigation phases for both technical and nontechnical audience. Although the term “computer” is used, the concept applies to any device capable of storing digital information.
Findability Primer by Information Architected - the IA Primer SeriesDan Keldsen
Findability - The Art and Science of Making Content Findable
Why Findability is Critical Today
Content without access is worthless. With the advent and maturity of the Internet, what was once exclusively the domain of libraries and the private collections of enterprises is now a broadly understood issue.
Case in point: Moments ago, I entered the word “Findability” into a search tool that indexes the Internet.
More than 543,000 individual bodies of content were retrieved. Eureka – Findability solved, right? With a simple search, I am able to retrieve “all” of that content. No. The rules of the game have changed significantly.
Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Se...ijtsrd
Online Social Networks OSNs are providing a diversity of application for human users to network through families, friends and even strangers. One of such application, friend search engine, allows the universal public to inquiry individual client friend lists and has been gaining popularity recently. Proper design, this application may incorrectly disclose client private relationship information. Existing work has a privacy perpetuation clarification that can effectively boost OSNs' sociability while protecting users' friendship privacy against attacks launched by individual malicious requestors. In this project proposed an advanced collusion attack, where a victim user's friendship privacy can be compromise from side to side a series of cautiously designed queries coordinately launched by multiple malicious requestors. The result of the proposed collusion attack is validate through synthetic and real world social network data sets. The project on the advanced collusion attacks will help us design a more vigorous and securer friend search engine on OSNs in the near future. R. Brintha | H. Parveen Bagum "Retrieving Hidden Friends a Collusion Privacy Attack against Online Friend Search Engine" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31687.pdf Paper Url :https://www.ijtsrd.com/computer-science/world-wide-web/31687/retrieving-hidden-friends-a-collusion-privacy-attack-against-online-friend-search-engine/r-brintha
La sociedad cívica tiene algunas expectativas básicas: Gente e instituciones, incluyendo gobiernos, deben comportarse según las leyes y la ética de la sociedad. Sin embargo, hoy en día la tecnología presta capacidades inesperadas y no bien conocidas. Estas tecnologías pueden chocar con la ética y las leyes de la sociedad. En particular, en sociedades modernas hay la expectativa de la privacidad de individuos y organizaciones.
En esta charla examinamos varias tecnologías que en muchos casos contradicen nuestras expectativas en cuanto a la privacidad. Veamos bases de datos estadísticos donde consultas deberían guardar la privacidad de los datos de individuos y varias tecnologías que permiten el monitoreo de la ubicación o el comportamiento de una persona o de las comunicaciones de la misma. También examinamos problemas relacionados con el uso de criptografía y el uso de marcas de agua, entro varios. En muchos casos, la tecnología compromete la privacidad, en algunos casos, presta más privacidad que es deseable.
A DARPA Project named Memex crawls the Deep web looking for content to index for law enforcement use. Their advanced algorithms are designed to by pass membership areas and pay walls as well as avoid detection by system administrators. Learn more:
http://christopher.killerpenguin.net/blog/darpaprojectmemexerodesprivacy
Mining in Ontology with Multi Agent System in Semantic Web : A Novel Approachijma
A large amount of data is present on the web. It contains huge number of web pages and to find suitable
information from them is very cumbersome task. There is need to organize data in formal manner so that
user can easily access and use them. To retrieve information from documents, there are many Information
Retrieval (IR) techniques. Current IR techniques are not so advanced that they can be able to exploit
semantic knowledge within documents and give precise results. IR technology is major factor responsible
for handling annotations in Semantic Web (SW) languages. With the rate of growth of web and huge
amount of information available on the web which may be in unstructured, semi structured or structured
form, it has become increasingly difficult to identify the relevant pieces of information on the internet. IR
technology is major factor responsible for handling annotations in Semantic Web (SW) languages.
Knowledgeable representation languages are used for retrieving information. So, there is need to build an
ontology that uses well defined methodology and process of developing ontology is called Ontology
Development. Secondly, Cloud computing and data mining have become famous phenomena in the current
application of information technology. With the changing trends and emerging of the new concept in the
information technology sector, data mining and knowledge discovery have proved to be of significant
importance. Data mining can be defined as the process of extracting data or information from a database
which is not explicitly defined by the database and can be used to come up with generalized conclusions
based on the trends obtained from the data. A database may be described as a collection of formerly
structured data. Multi agents data mining may be defined as the use of various agents cooperatively
interact with the environment to achieve a specified objective. Multi agents will always act on behalf of
users and will coordinate, cooperate, negotiate and exchange data with each other. An agent would
basically refer to a software agent, a robot or a human being Knowledge discovery can be defined as the
process of critically searching large collections of data with the aim of coming up with patterns that can be
used to make generalized conclusions. These patterns are sometimes referred to as knowledge about the
data. Cloud computing can be defined as the delivery of computing services in which shared resources,
information and software’s are provided over a network, for example, the information super highway.
Cloud computing is normally provided over a web based service which hosts all the resources required. As,
the knowledge mining is used in many fields of study such as in science and medicine, finance, education,
manufacturing and commerce. In this paper, the Semantic Web addresses the first part of this challenge by
trying to make the data also machine understandable in the form of Ontology, while Multi-Agen
Cybercrimes in the Darknet and Their Detections: A Comprehensive Analysis and...dannyijwest
Although the Dark web was originally used for maintaining privacy-sensitive communication for business or intelligence services for defence, government and business organizations, fighting against censorship and blocked content, later, the advantage of technologies behind the Dark web were abused by criminals to conduct crimes which involve drug dealing to the contract of assassinations in a widespread manner. Since the communication remains secure and untraceable, criminals can easily use dark web service via The Onion Router (TOR), can hide their illegal motives and can conceal their criminal activities. This makes it very difficult to monitor and detect cybercrimes over the dark web. With the evolution of machine learning, natural language processing techniques, computational big data applications and hardware, there is a growing interest in exploiting dark web data to monitor and detect criminal activities. Due to the anonymity provided by the Dark Web, the rapid disappearance and the change of the uniform resource locators (URLs) of the resources, it is not as easy to crawl the Drak web and get the data as the usual surface web which limits the researchers and law enforcement agencies to analyse the data. Therefore, there is an urgent need to study the technology behind the Dark web, its widespread abuse, its impact on society and the existing systems, to identify the sources of drug deal or terrorism activities. In this research, we analysed the predominant darker sides of the world wide web (WWW), their volumes, their contents and their ratios. We have performed the analysis of the larger malicious or hidden activities that occupy the major portions of the Dark net; tools and techniques used to identify cybercrimes which happen inside the dark web. We applied a systematic literature review (SLR) approach on the resources where the actual dark net data have been used for research purposes in several areas. From this SLR, we identified the approaches (tools and algorithms) which have been applied to analyse the Dark net data, the key gaps as well as the key contributions of the existing works in the literature. In our study, we find the main challenges to crawl the dark web and collect forum data are: scalability of crawler, content selection trade off, and social obligation for TOR crawler and the limitations of techniques used in automatic sentiment analysis to understand criminals’ forums and thereby monitor the forums. From the comprehensive analysis of existing tools, our study summarizes the most tools. However the forum topics rapidly change as their sources changes; criminals inject noises to obfuscate the forum’s main topic and thus remain undetectable. Therefore supervised techniques fail to address the above challenges. Semi-supervised techniques would be an interesting research direction.
Semantic Web & Information Brokering: Opportunities, Commercialization and Ch...Amit Sheth
Amit Sheth, "Semantic Web & Info. Brokering Opportunities, Commercialization and Challenges," Keynote talk at the workshop on Semantic Web: Models, Architecture and Management, September 21, 2000, Lisbon, Portugal.
This was the keynote given at probably the first international event with "Semantic Web" in title (and before the well known SciAm article). As in TBL's use of Semantic Web in his 1999 book, (semantic) metadata plays central role. The use of Worldmodel/Ontology is consistent with our use of ontology for (Web) information integration in 1994 CIKM paper. Summary of the talk by event organizers and other details are at: http://knoesis.org/library/resource.php?id=735
Prof. Sheth started a Semantic Web company Taalee, Inc. in 1999 (product was called MediaAnywhere A/V search engine- discussed in this paper in the context of one of its use by a customer Redband Broadcasting). The product included Semantic Web/populated Ontology based semantic (faceted) search, semantic browsing, semantic personalization, semantic targeting (advertisement), etc as is described in U.S. Patent #6311194, 30 Oct. 2001 (filed 2000). MediaAnywhere has about 25 ontologies in News/Business, Sports, Entertainment, etc.
Taalee merged to become Voquette in 2001 (product was called SCORE), Semagix in 2004 (product was called Semagix Freedom), and then Fortent in 2006 (products included Know Your Customers).
DATA, TEXT, AND WEB MINING FOR BUSINESS INTELLIGENCE: A SURVEYijdkp
The Information and Communication Technologies revolution brought a digital world with huge amounts
of data available. Enterprises use mining technologies to search vast amounts of data for vital insight and
knowledge. Mining tools such as data mining, text mining, and web mining are used to find hidden
knowledge in large databases or the Internet. Mining tools are automated software tools used to achieve
business intelligence by finding hidden relations, and predicting future events from vast amounts of data.
This uncovered knowledge helps in gaining completive advantages, better customers’ relationships, and
even fraud detection. In this survey, we’ll describe how these techniques work, how they are implemented.
Furthermore, we shall discuss how business intelligence is achieved using these mining tools. Then look
into some case studies of success stories using mining tools. Finally, we shall demonstrate some of the main
challenges to the mining technologies that limit their potential.
Ijeee 7-11-privacy preserving distributed data mining with anonymous id assig...Kumar Goud
Privacy Preserving Distributed Data Mining with Anonymous ID Assignment
Chikkudu Chandrakanth Bheemari Santhoshkumar Tejavath Charan Singh
M.Tech Scholar(CSE) M.Tech Scholar(CSE) Assistant Professor, Dept of CSE
Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech
Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India
Abstract: This paper builds an algorithm for sharing simple integer data on top of secure sum data mining operation using Newton’s identities and Sturm’s theorem. Algorithm for anonymous sharing of private data among parties is developed. This assignment is anonymous in that the identities received are unknown to the other members of the group. Resistance to collusion among other members is verified in an information theoretic sense when private communication channels are used. This assignment of serial numbers allows more complex data to be shared and has applications to other problems in privacy preserving data mining, collision avoidance in communications and distributed database access. The new algorithms are built on top of a secure sum data mining operation using Newton’s identities and Sturm’s theorem. An algorithm for distributed solution of certain polynomials over finite fields enhances the scalability of the algorithms.
Key words: Cloud, Website, information sharing, DBMS, ID, ODBC, ASP.NET
.
High Accuracy Location Information Extraction From Social Network Texts Using...kevig
Terrorism has become a worldwide plague with severe consequences for the development of nations. Besides killing innocent people daily and preventing educational activities from taking place, terrorism is also hindering economic growth. Machine Learning (ML) and Natural Language Processing (NLP) can contribute to fighting terrorism by predicting in real-time future terrorist attacks if accurate data is available. This paper is part of a research project that uses text from social networks to extract necessary information to build an adequate dataset for terrorist attack prediction. We collected a set of 3000 social network texts about terrorism in Burkina Faso and used a subset to experiment with existing NLP solutions. The experiment reveals that existing solutions have poor accuracy for location recognition, which our solution resolves. We will extend the solution to extract dates and action information to achieve the project's goal.
High Accuracy Location Information Extraction From Social Network Texts Using...kevig
Terrorism has become a worldwide plague with severe consequences for the development of nations. Besides killing innocent people daily and preventing educational activities from taking place, terrorism is also hindering economic growth. Machine Learning (ML) and Natural Language Processing (NLP) can contribute to fighting terrorism by predicting in real-time future terrorist attacks if accurate data is available. This paper is part of a research project that uses text from social networks to extract necessary information to build an adequate dataset for terrorist attack prediction. We collected a set of 3000 social network texts about terrorism in Burkina Faso and used a subset to experiment with existing NLP solutions. The experiment reveals that existing solutions have poor accuracy for location recognition, which our solution resolves. We will extend the solution to extract dates and action information to achieve the project's goal.
Exploratory Data Analysis and Feature Selection for Social Media Hackers Pred...CSEIJJournal
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
EXPLORATORY DATA ANALYSIS AND FEATURE SELECTION FOR SOCIAL MEDIA HACKERS PRED...CSEIJJournal
In machine learning, the intelligence of a developed model is greatly influenced by the dataset used for the
target domain on which the developed model will be deployed. Social media platform has experienced
more of hackers’ attacks on the platform in recent time. To identify a hacker on the platform, there are two
possible ways. The first is to use the activities of the user while the second is to use the supplied details the
user registered the account with. To adequately identify a social media user as hacker proactively, there
are relevant user details called features that can be used to determine whether a social media user is a
hacker or not. In this paper, an exploratory data analysis was carried out to determine the best features
that can be used by a predictive model to proactively identify hackers on the social media platform. A web
crawler was developed to mine the user dataset on which exploratory data analysis was carried out to
select the best features for the dataset which could be used to correctly identify a hacker on a social media
platform.
Information Architecture Techniques and Best PracticesChris Furton
Developing information structures, such as websites or systems, involves a complex set of processes with the goal of making information usable, findable, and organized. Information Architecture tools, techniques, and best practices provide the building blocks to achieving the end state. With hundreds and possibly thousands of tools and techniques available, this paper explores five specific options: card sorting, free-listing, perspective-based inspection, personas, and content value analysis. These five techniques span the breadth of the information architecture project and provide insight into the constantly evolving and developing information architecture field.
Case Study on Effective IS Governance within a Department of Defense Organiza...Chris Furton
This case study develops influencing factor that should be considered when developing an effective information security governance program with a Department of Defense weapons system test and evaluation organization. The influencing factors are then incorporated into an existing governance framework developed by A. Da Veiga and J. H. P. Eloff (2007). The result is a unique framework tailored to the organization which can be used as the foundation to building a holistic information security program.
IT Capital Planning: Enterprise Architecture and Exhibit 300 processes for th...Chris Furton
This paper explores two of the topics relating to IT Capital Planning and compares those processes in place at two federal agencies. The Enterprise Architecture and the Exhibit 300 business cases are reviewed from the Centers for Disease Control and Prevention (CDC) and the National Nuclear Security Administration (NNSA). The findings are that both agencies have programs in place to address Enterprise Architecture and the Exhibit 300, however, the amount of information made public varies resulting in inadequately level grounds for comparing and contrasting. Regardless, this paper explores the agencies’ programs highlighting the positive aspects and the growth opportunities of each while evaluating the overall IT Capital Planning posture.
Configuration Management: a Critical Component to Vulnerability ManagementChris Furton
Managing software vulnerabilities is increasingly important for operating an information technology environment with an acceptable level of security. Configuration Management, an often overlooked Information Technology process, directly impacts an organization’s ability to manage vulnerabilities. This paper explores a Department of Defense organization that currently struggles with vulnerability management. An analysis of current vulnerability and configuration management programs reveals a gap between two. Further examination of the assets, vulnerabilities, and threats as well as a risk assessment results in recommendation of a new configuration management program. This new program leverages configuration management databases to track the assets of the organization ultimately increasing the effectiveness of the vulnerability management program.
Analysis of Enterprise Risk Management of Two Retail Industry CompetitorsChris Furton
The purpose of this report is to investigate the Enterprise Risk Management (ERM) programs of two retail industry competitors: Wal-Mart Stores, Inc. and Target Corporation. Through in-depth research on the overall retail industry as well as each individual company, this paper explores the fundamental bases for each ERM program including risk governance, risk identification, risk analysis and evaluation, risk treatment, business continuity planning, and disaster recovery.
Two specific risks, reputation degradation and cyber threats, are further investigated from the perspective of each company and a comparison is made analyzing the similarities and differences in respect to ERM. Furthermore, a review of the history of incidents for each company and each risk highlights several positive and negative aspects contributing to the evolution of the ERM programs. Additional analysis comparing both companies’ ERM programs and history is provided culminating in three significant lessons learned.
Lastly, this paper introduces a hypothetical small to medium-sized retail company, develops an ERM program applying many of the lessons learned, and identifies some potential challenges. Both reputation degradation and cyber threat risks are incorporated into this company’s ERM program and recommendations are made on best treatment options. Also, business continuity plans and disaster recovery is addressed particularly in response to the two identified risks.
Multi-Country Analysis of Strategic Information Management in the Airlines Industry: a comparative assessment for the United States, China, and South Africa
APNIC Foundation, presented by Ellisha Heppner at the PNG DNS Forum 2024APNIC
Ellisha Heppner, Grant Management Lead, presented an update on APNIC Foundation to the PNG DNS Forum held from 6 to 10 May, 2024 in Port Moresby, Papua New Guinea.
# Internet Security: Safeguarding Your Digital World
In the contemporary digital age, the internet is a cornerstone of our daily lives. It connects us to vast amounts of information, provides platforms for communication, enables commerce, and offers endless entertainment. However, with these conveniences come significant security challenges. Internet security is essential to protect our digital identities, sensitive data, and overall online experience. This comprehensive guide explores the multifaceted world of internet security, providing insights into its importance, common threats, and effective strategies to safeguard your digital world.
## Understanding Internet Security
Internet security encompasses the measures and protocols used to protect information, devices, and networks from unauthorized access, attacks, and damage. It involves a wide range of practices designed to safeguard data confidentiality, integrity, and availability. Effective internet security is crucial for individuals, businesses, and governments alike, as cyber threats continue to evolve in complexity and scale.
### Key Components of Internet Security
1. **Confidentiality**: Ensuring that information is accessible only to those authorized to access it.
2. **Integrity**: Protecting information from being altered or tampered with by unauthorized parties.
3. **Availability**: Ensuring that authorized users have reliable access to information and resources when needed.
## Common Internet Security Threats
Cyber threats are numerous and constantly evolving. Understanding these threats is the first step in protecting against them. Some of the most common internet security threats include:
### Malware
Malware, or malicious software, is designed to harm, exploit, or otherwise compromise a device, network, or service. Common types of malware include:
- **Viruses**: Programs that attach themselves to legitimate software and replicate, spreading to other programs and files.
- **Worms**: Standalone malware that replicates itself to spread to other computers.
- **Trojan Horses**: Malicious software disguised as legitimate software.
- **Ransomware**: Malware that encrypts a user's files and demands a ransom for the decryption key.
- **Spyware**: Software that secretly monitors and collects user information.
### Phishing
Phishing is a social engineering attack that aims to steal sensitive information such as usernames, passwords, and credit card details. Attackers often masquerade as trusted entities in email or other communication channels, tricking victims into providing their information.
### Man-in-the-Middle (MitM) Attacks
MitM attacks occur when an attacker intercepts and potentially alters communication between two parties without their knowledge. This can lead to the unauthorized acquisition of sensitive information.
### Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) Attacks
1.Wireless Communication System_Wireless communication is a broad term that i...JeyaPerumal1
Wireless communication involves the transmission of information over a distance without the help of wires, cables or any other forms of electrical conductors.
Wireless communication is a broad term that incorporates all procedures and forms of connecting and communicating between two or more devices using a wireless signal through wireless communication technologies and devices.
Features of Wireless Communication
The evolution of wireless technology has brought many advancements with its effective features.
The transmitted distance can be anywhere between a few meters (for example, a television's remote control) and thousands of kilometers (for example, radio communication).
Wireless communication can be used for cellular telephony, wireless access to the internet, wireless home networking, and so on.
Bridging the Digital Gap Brad Spiegel Macon, GA Initiative.pptxBrad Spiegel Macon GA
Brad Spiegel Macon GA’s journey exemplifies the profound impact that one individual can have on their community. Through his unwavering dedication to digital inclusion, he’s not only bridging the gap in Macon but also setting an example for others to follow.
This 7-second Brain Wave Ritual Attracts Money To You.!nirahealhty
Discover the power of a simple 7-second brain wave ritual that can attract wealth and abundance into your life. By tapping into specific brain frequencies, this technique helps you manifest financial success effortlessly. Ready to transform your financial future? Try this powerful ritual and start attracting money today!
Multi-cluster Kubernetes Networking- Patterns, Projects and GuidelinesSanjeev Rampal
Talk presented at Kubernetes Community Day, New York, May 2024.
Technical summary of Multi-Cluster Kubernetes Networking architectures with focus on 4 key topics.
1) Key patterns for Multi-cluster architectures
2) Architectural comparison of several OSS/ CNCF projects to address these patterns
3) Evolution trends for the APIs of these projects
4) Some design recommendations & guidelines for adopting/ deploying these solutions.
Christopher furton-darpa-project-memex-erodes-internet-privacy
1. Running head: DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 1
DARPA Memex Project Erodes Internet Privacy
Christopher Furton
Syracuse University
2. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 2
Abstract
In February of 2014, the Defense Advanced Research Projects Agency (DARPA)
announced the Memex Project that is currently being used by Federal agencies, law enforcement,
and Non-Governmental Organizations (NGOs). The Memex project deploys technology that
crawls, indexes, analyzes, extracts, and provides search functionality across the entire Internet
including the criminal underground referred to as the Dark Net. Despite the good intention of
DARPA, the Memex tool raises several privacy concerns such as scope of use, oversight and
transparency, data retention, and information security. With this powerful big data capability,
precautions must be taken to protect citizen’s privacy rights.
3. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 3
DARPA Memex Project Further Erodes Internet Privacy
What is Memex?
The Defense Advanced Research Projects Agency (DARPA) announced plans to create a
project known as Memex on February 9th
, 2014 (DARPA, 2014, p. 1). A further look into the
Broad Agency Announcement (BAA) shows that DARPA is looking for proposals from industry
to “maintain technological superiority in the area of content indexing and web search on the
Internet” (DARPA: Information Innovation Office, 2014, p. 4). DARPA identifies a problem
with current web search functionality stating that it has limitations on what gets indexed and the
richness of available details. For government researchers and law enforcement personnel,
current methods used involve manual searching by input of exact information one entry at a time.
Further analysis must be done to organize or aggregate beyond a list of links (DARPA:
Information Innovation Office, 2014, p. 4).
DARPA plans to solve this problem with the Memex Project by developing technologies
that “provide the mechanisms for content discovery, information extraction, information
retrieval, user collaboration, and other areas need to address distributed aggregation, analysis,
and presentation of web content” (DARPA: Information Innovation Office, 2014, p. 5). To
accomplish this, DARPA has divided the work into three technical areas: domain-specific
indexing, domain-specific search, and applications. DARPA specifies the need for technology to
reach beyond traditional content, specifically naming the Dark Web as a target. The Dark Web
refers to the large mass of Internet content not relatively accessible through search engines often
requiring special encryption software to access (Chandler, n.d.).
The first technical area DARPA is interested in is domain-specific indexing. This
technical area focuses on developing a highly scalable web crawling capability with both content
4. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 4
discovery and information extraction. This crawling process will provide automated link
discovery including obfuscated links, discovery of deep and dark web content, and hidden
services – the function of providing web services such as chat or web page hosting on the Dark
Web. Additionally, this capability will include counter-crawling measures such as paywalls or
member-only areas, crawler bans, and even human detection. Lastly, this capability must also be
able to extract information and include normalization of heterogeneous data, natural language
processing for translation, image analysis, extraction of multimedia, and several other functions
(DARPA: Information Innovation Office, 2014, p. 7).
The second technical area DARPA is interested in is domain-specific searching. This
capability is not the same as current commercial web searching; instead, it will have configurable
interfaces into web content indexed by the first technical area. The interfaces, as outlined in the
BAA, may include conceptually aggregated results, conceptually connected content, task
relevant facets, implicit collaboration for enriched content, explicit collaboration with shared
tags, and several other capabilities. Lastly, this technical area will include a query language so
that DARPA personnel may modify instructions for the crawlers and information extraction
algorithms (DARPA: Information Innovation Office, 2014, p. 7).
The last technical area DARPA is interested in is generically referred to as
“applications.” This technical area is where system-level concepts of operation and use cases are
developed. The utility of the system must be able to evolve over time based off the needs of the
Department of Defense and other agencies, and it involves the development of possible new
content domains including missing persons, found data, and counterfeit goods. Specified in this
technical area is that the integration, testing, and evaluation is to be performed on the open public
Internet (DARPA: Information Innovation Office, 2014, pp. 8-9).
5. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 5
Stated Purpose
According to Wired Magazine (2015), Memex’s purpose is to uncover patterns and
relationships in online data for law enforcement and others who track illegal activity (para. 1).
Memex uses automated methods to analyze content in order to uncover hidden relationships
between data points. Additionally, it helps researchers determine how much of the dark web’s
traffic is related to hidden services where content could be indexed. Furthermore, Memex can
help investigators understand the turnover of sites, specifically, the relationship between sites
when one shuts down and a seemingly unrelated site opens up (Zetter, 2015).
DARPA has gone through great measures to specify that the Memex Project is aimed at
indexing “domain-specific” content and gives the example of Human Trafficking – both labor
and sex - in the BAA (DARPA: Information Innovation Office, 2014, p. 4). At least one
instance of Memex in action has been documented: the New York District Attorney’s Office
claims that an experimental set of Internet search tools is part of the prosecutor’s arsenal that
helped secure a sex trafficking conviction. In this instance, Memex was used to scour the
Internet looking for advertisements used to lure victims into servitude and to promote their
sexual exploitation (Greenemeier, 2015, para. 2-3).
DARPA is an agency under the Department of Defense; however, the stated purpose of
Memex has a direct correlation to law enforcement. DARPA has confirmed that in August of
2014, several beta testers were approved to use Memex including two district attorney’s offices,
a law enforcement group, and a nongovernmental organization (NGO). The next set of tests are
expected to begin in early 2015 and include federal and district prosecutors, regional and
national law enforcement, and multiple NGOs. Every quarter, DARPA wants to expand user
testing until they are comfortable handing the tool over to law enforcement agencies and
6. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 6
prosecutors. Eventually, the plan is to have the Memex capability installed locally at law
enforcement agencies and to ensure police could access the software from anywhere
(Greenemeier, 2015).
Hypothetical Privacy Abuse
The Dark Web provides an avenue for cyber criminals, human traffickers, child
pornographers, and other criminals to conduct business (Bradbury, 2014). Additionally, it also
provides an avenue for planning and coordination of terrorism activities posing a threat to
National Security (Sachan, 2012). It is only logical that the United States Government would be
interested in gaining better insight and surveillance into the Dark Web for both national security
and law enforcement reasons; however, with that comes the need to protect citizen’s privacy.
Memex, as an international “Big Data” tool, provides the capability for content discovery, index,
search, aggregation, and extraction on a very large scale introducing a swarm of information
privacy concerns.
Scope of Use
One major privacy concern involves the breadth of data collected by Memex’s web
crawling indexers. Since the web crawlers are designed to ignore the content owner’s explicit
crawler prohibitions – often done by robots.txt files – as well as penetrating paywalls and
membership areas, it is highly feasible that content intended to be private will get vacuumed into
the Memex system. Therefore, Memex can be seen as another attempt by the United States
Government to increase the size of the figurative information haystack in order to find more
needles. Despite the usage of “domain-specific” collection techniques, it is inevitable that non-
domain data will get introduced into Memex.
7. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 7
Another privacy concern involves the scope of users being allowed access to Memex-
siphoned data. As mentioned earlier in this paper, DARPA has already given access to one
private Non-Governmental Organization (NGO) which introduces concerns, as noted by Mueller
(2010) in regards to private organizations and content regulation, about governance arrangements
that may “avoid substantive and due process rights” (p. 213). With DARPA planning to extend
access to many more NGOs, citizens should be concerned about who has access to this
potentially massive trove of well-organized and readily accessible private information.
Transparency and Oversight
By design, Memex provides for dynamic on-demand content domain generation that
enables Federal agencies, local law enforcement, and other organizations to select surveillance
zones without judicial oversight. The content domain example given by DARPA is for human
trafficking; however, as noted earlier in this paper, web crawlers have the ability to take
commands from controllers to add or modify content domains. This functionality is powerful as
it potentially allows investigators and private organizations access to personal information
collected without oversight and may compromise citizen’s due process protections. Although
currently unknown, it seems feasible that a law-abiding citizen, who posts a request online for a
consensual intimate meeting, may get her information indexed under Memex’s human trafficking
content domain. This functionality without oversight and transparency should invoke concerns
from privacy advocates.
Data Safeguards and Retention
As with any “big data” system, details over how data is collected, stored, and transmitted
is a significant concern. Hackers, identity thieves, and foreign governments may have the
potential and desire to target Memex’s web crawlers or central repositories. These systems must
8. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 8
be protected from possible exploitation or hijacking considering the amount of sensitive
information indexed. The data collected, stored, and transmitted – as well as the webcrawlers
themselves – must have safeguards protecting them from compromise by malicious actors intent
on invading citizen’s privacy or committing crimes.
Along with concerns over safeguarding data is the duration of time that collected
information will be retained. In a related situation where governmental authorities built databases
of citizen’s vehicle location information via Automated License Plate Recognition (ALPR)
technology, privacy advocates argued over concerns of data retention (Lynch, 2013). Advocates
have already filed lawsuits attempting to make usage of this technology more transparent
(Electronic Frontier Foundation, 2013). Similarly, privacy advocates will likely be concerned
with Memex’s data retention policies.
Conclusion and the Author’s Personal Reflections
Based off currently published public information, DARPA’s Memex Program is a
powerful tool built with the best of intentions: to protect national security and to combat
cybercrimes. As a technical feat, its ability to crawl the vast scope of the Internet, evade
paywalls and member-only areas, perform in-depth analytical functions, and extract information
is impressive. The breadth of deployment of this tool to include law enforcement, district
attorneys, and NGOs introduces the possibility of abuse. Big Data tools that collect citizen’s
information will inherently encroach on privacy rights and Constitutional protections. Memex
invokes discussion over Internet privacy and whether any and all information posted online is
considered public and open for collection or analysis. Regardless, usage of a tool like Memex
should require strict usage rules that outline scope, additional oversight and transparency, and
must be properly secured. Additionally, information collected by Memex about citizens should
9. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 9
be accessible under current freedom of information act laws. Memex is not the first – and will
not be the last – information tool that challenges citizen’s privacy rights.
10. DARPA MEMEX PROJECT ERODES INTERNET PRIVACY 10
References
Bradbury, D. (2014). Unveiling the dark web. Network Security, 14-17.
Chandler, N. (n.d.). How the deep web works. Retrieved from How Stuff Works: Computer:
http://computer.howstuffworks.com/internet/basics/how-the-deep-web-works.htm
DARPA. (2014, 02 09). DARPA:News Events. Retrieved from Memex aims to create a new
paradigm for domain-specific search.:
http://www.darpa.mil/newsevents/releases/2014/02/09.aspx
DARPA: Information Innovation Office. (2014). Broad Agency Announcement: Memex.
Retrieved from http://go.usa.gov/BBc5
Electronic Frontier Foundation. (2013, 05 06). EFF and ACLU Sue LA Law-Enforcement
Agencies Over License-Plate Reader Records. EFF Press Release.
Greenemeier, L. (2015, 02 08). Human traffickers caught on hidden Internet. Scientific
American. Retrieved from http://www.scientificamerican.com/article/human-traffickers-
caught-on-hidden-internet/
Zetter, K. (2015, 02 15). Darpa is developing a search engine for the dark web. Wired. Retrieved
from http://www.wired.com/2015/02/darpa-memex-dark-web/
Lynch, J. (2013, 05 06). Automated License Plate Readers Threaten Our Privacy. EFF
DeepLinks.
Mueller, M. (2010). Networks and States: The Global Politics of Internet Governance.
Massachusettes Institute of Technology.
Sachan, A. (2012). Countering terrorism through Dark Web analysis. IEEE.
11. About the author
Author: Christopher Furton
Website: Http://christopher.furton.net
Certified professional with over 12 years of Information Technology experience and 8 years of
hands-on leadership. An expert in cyber security with both managerial and technical skills
proven throughout a career with increasing responsibility and performance expectations. Known
ability to translate complex information for universal understanding. Detail-driven, results-
focused leader with superior analytical, multitasking, and communication skills. Well-versed in
industry best practices including Project Management and IT Service Management. Currently
holding active CISSP, CEH, ITIL Foundations, Security+, and Network+ certifications.
Visit the auhor’s blog:
IT Management Perspectives - https://christopherfurton.wordpress.com/
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