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Web cookies (also called HTTP cookies, browser cookies, or simply cookies) are small pieces of data that websites store on your device (computer, phone, etc.) through your web browser. They are used to remember information about you and your interactions with the site.

Purpose of Cookies:

  1. Session Management:

    • Keeping you logged in

    • Remembering items in a shopping cart

    • Saving language or theme preferences

  2. Personalization:

    • Tailoring content or ads based on your previous activity

  3. Tracking & Analytics:

    • Monitoring browsing behavior for analytics or marketing purposes


Types of Cookies:

  1. Session Cookies:

    • Temporary; deleted when you close your browser

    • Used for things like keeping you logged in during a single session

  2. Persistent Cookies:

    • Stored on your device until they expire or are manually deleted

    • Used for remembering login credentials, settings, etc.

  3. First-Party Cookies:

    • Set by the website you're visiting directly

  4. Third-Party Cookies:

    • Set by other domains (usually advertisers) embedded in the website

    • Commonly used for tracking across multiple sites

Authentication cookies are a special type of web cookie used to identify and verify a user after they log in to a website or web application.


What They Do:

Once you log in to a site, the server creates an authentication cookie and sends it to your browser. This cookie:

  • Proves to the website that you're logged in

  • Prevents you from having to log in again on every page you visit

  • Can persist across sessions if you select "Remember me"


What's Inside an Authentication Cookie?

Typically, it contains:

  • A unique session ID (not your actual password)

  • Optional metadata (e.g., expiration time, security flags)

Analytics cookies are cookies used to collect data about how visitors interact with a website. Their primary purpose is to help website owners understand and improve user experience by analyzing things like:

  • How users navigate the site

  • Which pages are most/least visited

  • How long users stay on each page

  • What device, browser, or location the user is from


What They Track:

Some examples of data analytics cookies may collect:

  • Page views and time spent on pages

  • Click paths (how users move from page to page)

  • Bounce rate (users who leave without interacting)

  • User demographics (location, language, device)

  • Referring websites (how users arrived at the site)

Here’s how you can disable cookies in common browsers:

1. Google Chrome

  • Open Chrome and click the three vertical dots in the top-right corner.

  • Go to Settings > Privacy and security > Cookies and other site data.

  • Choose your preferred option:

    • Block all cookies (not recommended, can break most websites).

    • Block third-party cookies (can block ads and tracking cookies).

2. Mozilla Firefox

  • Open Firefox and click the three horizontal lines in the top-right corner.

  • Go to Settings > Privacy & Security.

  • Under the Enhanced Tracking Protection section, choose Strict to block most cookies or Custom to manually choose which cookies to block.

3. Safari

  • Open Safari and click Safari in the top-left corner of the screen.

  • Go to Preferences > Privacy.

  • Check Block all cookies to stop all cookies, or select options to block third-party cookies.

4. Microsoft Edge

  • Open Edge and click the three horizontal dots in the top-right corner.

  • Go to Settings > Privacy, search, and services > Cookies and site permissions.

  • Select your cookie settings from there, including blocking all cookies or blocking third-party cookies.

5. On Mobile (iOS/Android)

  • For Safari on iOS: Go to Settings > Safari > Privacy & Security > Block All Cookies.

  • For Chrome on Android: Open the app, tap the three dots, go to Settings > Privacy and security > Cookies.

Be Aware:

Disabling cookies can make your online experience more difficult. Some websites may not load properly, or you may be logged out frequently. Also, certain features may not work as expected.

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Students walking down Fairfield Way in front of the Homer Babbidge Library and the Information Technologies Engineering Building. Oct. 19, 2021. (Sean Flynn/UConn Photo)

Research Areas

A two-panel image. The left panel displays a fluorescence microscopy image labeled with βcat/ytub in green and GFAP in red, showing a network of cells with a dark background. The right panel features a color-coded diagram with various irregular shapes filled with colors like yellow, orange, blue, pink, and white, possibly representing different cell types or regions. A scale bar is visible in the left panel

Algorithms & Theory

A heatmap showing gene expression data, with the Y-axis listing various genes on the right side. The color gradient ranges from deep blue to red, indicating levels of expression. At the top, a color-coded bar categorizes the data into 'True Clusters,' with different colors representing different clusters. The arrangement of colored rectangles suggests patterns of gene co-expression across the dataset

Bioinformatics

Diagram illustrating a system connected via wireless transmission, USB connections, and a logic probe

Computer Networks

A grid of abstract geometric shapes representing various graph structures. Each shape consists of nodes (circles) connected by lines (edges) in different colors, including red, blue, green, purple, and orange. The arrangement includes several configurations, such as triangles, squares, and more complex interconnected forms, displaying diversity in connections and layouts. The overall design is playful and colorful, emphasizing the concept of networks or graphs in a visual format

Data Mining

A diagram illustrating the process of feature extraction in a neural network. It consists of three sections: Kernels on the left, showing various colored blocks, with a note indicating that kernel sizes can be changed; Feature Maps in the middle, connecting the kernels to colored grids representing feature extraction; and Fully Connected Layer on the right, depicting the projection of vectors into embedding dimensions with a label for Matrix with entities. Arrows indicate the flow of data through the network

Machine Learning

An illustration depicting the concept of an Off-path Attacker in a network security context. A red cartoonish devil figure holds a laptop and a pitchfork, representing the attacker. Below, there are three network devices (depicted as rounded rectangles) connected by a cloud-like shape, symbolizing data flow. The text Off-path Attacker is prominently displayed next to the attacker. The overall design emphasizes the threat posed by attackers in a network environment

Security

A flowchart diagram illustrating the functional flow between various components of a healthcare data system, specifically showing interactions with FHIR (Fast Healthcare Interoperability Resources) servers and REST API

Software Engineering

A composite diagram illustrating two main concepts: clustering and mapping in the context of class dependency in computer systems

Systems

A flowchart diagram illustrating the relationship between a source, behavior, and emotional and rational pathways

Other Areas

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