RISHABH LALA
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Sometimes it is not well considered while developing a data science project on how much I'm impacting the network. Therefore, it becomes crucial to understand the networking. 
Network security and IT Infrastructure Concepts:

-> Three modules
a) 

-> Packetization | TCP-IP Models | Networkization
Packetization has two parts: the actual data and the cost of delivery. Packet has a header and the body in the form of data. Package has a delivery destination and the source. We have the technology to move the packets through air and through cables, this is the physics of it. Since, we realized that we can move packets of energy containing information, we later figured the economics of it. 

What is a network? Home Network | SP Network | Web Server | Internet service provider gives a Gateway to the world | Network is inter-connection of systems (computers). 

Why build a network?
Motivation is Economics. It works economically. Networks provide a way to communicate Data. 



TCP | UDP

  • TCP: Offers reliability. If a segment (a unit of data in TCP) gets lost during transmission, TCP will recognize this and resend the segment. It ensures that data is delivered in the order it was sent. Example: Text message
  • UDP: Does not offer guaranteed delivery. Data might be lost in transit, and UDP won't attempt to resend it. It also doesn't guarantee the order of delivery. Partial data can be received.

Transport Layer in the Stack: 


Analyzing Packets in Wireshark:
Step 1) Identify the application protocol: Identify what it is used for? Example Web Requests like HTTP.
Step 2) Research the Protocol (RFC) : what is the method of communication, Set of Steps or the sequences that communication occurs. 
Step 3) Determine if the communication technology behavior is normal or not normal within the protocol. Expected Steps/ Sequences (example errors/ problems)
Step 4) Alternatively: Analyze communication technology. Sequence for abnormal behavior (Human Behavior). We know a behavior is normal or abnormal by the protocol defined in the RFC (protocol). 
​


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  • Home
  • BLOG
  • About Me
  • INTERESTS
    • AI/Machine Learning >
      • Machine Learning
      • Machine Learning_Complete
      • ML|Text2Speech
    • Statistics 4 Business >
      • Survival | Multilevel | GLM
      • Statistics| Max Likelyhood and OLS
      • Probability Distribution Functions
      • Log and Exponential Transformation
      • Heteroskendasticity and Robust Methods
      • Statistics| Basics II
      • Statistics| Basics I
    • Cloud Architecture >
      • AWS Intro >
        • AWS | Hands On 1
      • Cloud Computing
      • Cloud Architecting
      • BIG DATA >
        • MapReduce
        • SPARK
    • Web Development >
      • WEB APP DEV
      • Java Script
      • Java
      • Network Security
    • BIG DATA FOR BUSINESS >
      • SQL
    • Business Analytics >
      • Lift Curves
      • Market Basket Analysis
    • Valuation | Risk Free Rate >
      • Valuation | Example DCW_Part I
      • Valuation | Example DCW_Part II
      • Valuation | The Idea
      • Valuation | Financial Statements
      • Valuation | DCF & Risk Free Rate
      • Valuation|Equity Risk Premium
      • Valuation | Relative Valuation
      • Valuation | Terminal Value
      • Investing
    • Visualizations
    • Skill Set
    • Academics
  • My Apps
  • Articles
    • Engineering Success
    • Why Hire Me
    • My Poems