Types of Threats part 1
Duration: 9 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- Course Overview: About the Course
- Paper - 1 | Unit - 1 | Teaching Aptitude: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement
- Paper - 1 | Unit - 2 | Research Aptitude: Introduction to Research, Validity & Reliability, Research Paradigms & Types of Research, Research Process Steps, Research Ethics, Writing & Publication
- Paper - 1 | Unit - 3 | Comprehension: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions)
- Paper - 1 | Unit - 4 | Communication: Communication Basics, Language and Semiotics, Types of Communication, Communication Models, Mass Communication, Mass Media, Journalism, General Knowledge and General Studies related to Communication
- Paper - 1 | Unit - 5 | Mathematical Reasoning and Aptitude: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Number System, Percentage, Ratio and Proportion (Ratios), Simple Interest and Compound Interest, Speed Time and Distance, Powers and Exponents (Surds and Indices), Profit and Loss, Average, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Verbal Analogy (Word Based Analogy), Divisibility Rules, Calendar, Miscellaneous, Time and Work, Algebra
- Paper - 1 | Unit - 6 | Logical Reasoning: Syllogisms, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Venn Diagram, School Of Thoughts, Fallacy, Western Logic
- Paper - 1 | Unit - 7 | Data Interpretation: Data Interpretation
- Paper - 1 | Unit - 8 | Information and Communication Technology: MS Office Applications, Cyber Threats and Malware Attacks, Role of Internet and Web Services, Electronic Data Interchange and E-Commerce, Internet Fundamentals, Web Design & Development, Web Publishing & Hosting, Emerging Technologies, Terms & Abbreviations, Artificial Intelligence, Society, Law & Ethics, Keyboard Shortcuts, Website, Browser & Services
- Paper - 1 | Unit - 9 | People Development and Environment: Ecosystem, Biomes & Environmental Issues, MDG & SDG, Air Pollution, Water Pollution, Soil, Noise Pollution and Waste Management, Natural Resources, Energy & Disaster Management, Global Environmental Conventions – COP, Protocols & ISA
- Paper - 1 | Unit - 10 | Higher Education System: Vedic Education, Jainism & Buddhism, Ancient Universities, Pre-Independence Commissions, Post-Independence Policy, Higher Education Structure & Accreditation, Universities & Learning Programmes, Types of Education & NEP 2020
- Paper 2 | Unit 1 | Discrete Structures and Optimization: Propositional and Predicate Logic, Set Theory, Relations, Functions, Permutation and Combination, Probability, Graph Theory, Group Theory, Digital Systems & Boolean Basics, Boolean Expression, Boolean Minimization, Optimization
- Paper 2 | Unit 2 | Computer System Architecture: Logic Gates & Hardware, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep, Basics of COA, Register Transfer and Microoperations, Programming the Basic Computer, Instr Formats & Modes, Control Unit Design, Pipelining, Input Output Organisation, Cache Memory Organization, Multiprocessors
- Paper 2 | Unit 3 | Programming Languages and Computer Graphics: Language Design, C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, HTML Basics, XML, JavaScript-Basics, Java, Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, 3-D Object Representation, Geometric Transformations and Viewing, OOPS with C++, Java Fundamentals
- Paper 2 | Unit 4 | Database Management Systems: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
- Paper 2 | Unit 5 | System Software and Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
- Paper 2 | Unit 6 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
- Paper 2 | Unit 7 | Data Structures and Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- Paper 2 | Unit 8 | Theory of Computation and Compilers: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines, Complexity Theory, Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
- Paper 2 | Unit 9 | Data Communication and Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security, Mobile Technology, Cloud Computing and IoT, Cloud Computing
- Paper 2 | Unit 10 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
- Live Classes: NTA UGC NET 2025 Live Class
- Paper 1 | Full Mock Tests:
- Paper 2 | Full Mock Tests:
- Paper 1 | Previous Year Papers:
- Paper 2 | Previous Year Papers:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
The video lecture covers key security threats in e-commerce, starting with the assets that need protection like client computers and servers. It then details financial frauds, specifically credit card fraud and fake return/refund schemes, using diagrams to illustrate the mechanics. The lecture proceeds to discuss phishing, spamming, and malware, explaining how hackers use these methods to compromise systems and steal data.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a PDF document titled "Information Security and Cyber Law". The instructor discusses the assets that must be protected in e-commerce, including client computers, messages on communication channels, and web servers. She draws a diagram showing a "Client" sending data that might be intercepted by "Malware" or "spyware". She notes the use of "UDP" and "encrypted" protocols, leading to "Hadec" and "info". She also sketches a server box containing "database", "orders", and "server", emphasizing that hardware attached to servers is also a critical asset. The text on screen mentions "E-Commerce security requirements" and "beginning with the consumer". She highlights that assets include "client computers, the messages travelling on the communication channel, and the web and commerce servers". She also mentions "including any hardware attached to the servers".
2:00 – 5:00 02:00-05:00
The instructor highlights the section "1. Financial frauds" and states they will discuss the two most common types. She details "a. Credit Card Fraud", explaining it happens when a cybercriminal uses stolen data to buy products. She underlines "shipping and billing addresses vary" as a key indicator. She writes "Solution -> Address -> Delhi Mumbai" to explain how Address Verification Systems (AVS) work. She then introduces "b. Fake Return & Refund Fraud", drawing a diagram where "Mohan" sends "9 items" to "Amazon" and then requests a "Refund" to make a "profit". The text mentions "The bad players perform unauthorized transactions and clear the trail, causing businesses great losses". She also notes that hackers "engage in refund frauds, where they file fake requests for returns".
5:00 – 9:19 05:00-09:19
The lecture moves to "2. Phishing", where hackers masquerade as legitimate store owners. The instructor explains that fraudsters present fake copies of website pages to trick users. She draws a diagram showing a user entering "Bank OTP" details on a "Valid Amazon" page, which is actually a trap. She then discusses "3. Spamming", noting that bad players send infected links via email or social media. She mentions that mass-mailed malware infection can reduce website speed. Finally, she covers "4. Malware", listing "spyware, viruses, trojan, and ransomware" as malicious software that can be installed without knowledge, potentially stealing sensitive data from customers and admins. The text mentions "Some bad players can send infected links via email or social media inboxes". She also notes that spamming "reduces its speed and severely affects performance". She mentions that malware can "easily swipe any sensitive data that might be present on the infected systems".
The lecture systematically breaks down e-commerce security threats, starting with the fundamental assets that need protection, such as client devices and server hardware. It then delves into specific financial frauds like credit card theft and fake returns, using diagrams to illustrate the mechanics of these scams. The discussion expands to social engineering tactics like phishing and spamming, explaining how hackers use fake emails and links to compromise user data. Finally, the lecture defines malware, listing various types like trojans and ransomware that can infect systems and steal sensitive information. This progression moves from general security requirements to specific attack vectors and their consequences.