(i) Page size = 2^9 = 512 words
(ii) Maximum segment size = 2^11 * 512 = 64K words
(iii) Maximum number of pages = 2^9 = 512 pages per segment
(iv) Maximum number of segments = 2^11 = 2048 segments
Paging allows programs memory to be non-contiguous by dividing a process's logical memory into pages and mapping them to frames in physical memory. The page table stores the frame number for each page. During memory access, the CPU uses the page, frame, and offset to locate data. Segmentation is another approach that variably divides logical memory into segments of unequal size, each mapped to a segment in physical memory using a segment table. Both techniques allow more efficient use of memory but introduce overhead for memory mapping.
This document discusses segmentation in operating systems. Segmentation divides memory into variable-sized segments rather than fixed pages. Each process is divided into segments like the main program, functions, variables, etc. There are two types of segmentation: virtual memory segmentation which loads segments non-contiguously and simple segmentation which loads all segments together at once but non-contiguously in memory. Segmentation uses a segment table to map the two-part logical address to the single physical address through looking up the segment base address.
This document summarizes and compares paging and segmentation, two common memory management techniques. Paging divides physical memory into fixed-size frames and logical memory into same-sized pages. It maps pages to frames using a page table. Segmentation divides logical memory into variable-sized segments and uses a segment table to map segment numbers to physical addresses. Paging avoids external fragmentation but can cause internal fragmentation, while segmentation avoids internal fragmentation but can cause external fragmentation. Both approaches separate logical and physical address spaces but represent different models of how a process views memory.
Memory is divided into segments to enhance system performance. There are four main types of segments: code, data, stack, and extra. Each segment has its own register for addressing memory locations. Segments can overlap or be non-overlapping. Segmentation supports variable size segments, protection, and sharing between processes by referencing the same segment. It allows logical addresses to access physical memory but requires more complex hardware than paging.
The objectives of these slides are:
- To provide a detailed description of various ways of organizing memory hardware
- To discuss various memory-management techniques, including paging and segmentation
- To provide a detailed description of the Intel Pentium, which supports both pure segmentation and segmentation with paging
Main memory is used to store programs and data for the CPU to access directly. Paging is a memory management technique that divides main memory into fixed-sized blocks called frames and divides logical memory into same-sized blocks called pages. The page table maps logical page numbers to physical frame numbers, with translation lookaside buffers caching these mappings to improve performance. Protection bits in page table entries enforce access permissions on individual pages.
Paging allows programs memory to be non-contiguous by dividing a process's logical memory into pages and mapping them to frames in physical memory. The page table stores the frame number for each page. During memory access, the CPU uses the page, frame, and offset to locate data. Segmentation is another approach that variably divides logical memory into segments of unequal size, each mapped to a segment in physical memory using a segment table. Both techniques allow more efficient use of memory but introduce overhead for memory mapping.
This document discusses segmentation in operating systems. Segmentation divides memory into variable-sized segments rather than fixed pages. Each process is divided into segments like the main program, functions, variables, etc. There are two types of segmentation: virtual memory segmentation which loads segments non-contiguously and simple segmentation which loads all segments together at once but non-contiguously in memory. Segmentation uses a segment table to map the two-part logical address to the single physical address through looking up the segment base address.
This document summarizes and compares paging and segmentation, two common memory management techniques. Paging divides physical memory into fixed-size frames and logical memory into same-sized pages. It maps pages to frames using a page table. Segmentation divides logical memory into variable-sized segments and uses a segment table to map segment numbers to physical addresses. Paging avoids external fragmentation but can cause internal fragmentation, while segmentation avoids internal fragmentation but can cause external fragmentation. Both approaches separate logical and physical address spaces but represent different models of how a process views memory.
Memory is divided into segments to enhance system performance. There are four main types of segments: code, data, stack, and extra. Each segment has its own register for addressing memory locations. Segments can overlap or be non-overlapping. Segmentation supports variable size segments, protection, and sharing between processes by referencing the same segment. It allows logical addresses to access physical memory but requires more complex hardware than paging.
The objectives of these slides are:
- To provide a detailed description of various ways of organizing memory hardware
- To discuss various memory-management techniques, including paging and segmentation
- To provide a detailed description of the Intel Pentium, which supports both pure segmentation and segmentation with paging
Main memory is used to store programs and data for the CPU to access directly. Paging is a memory management technique that divides main memory into fixed-sized blocks called frames and divides logical memory into same-sized blocks called pages. The page table maps logical page numbers to physical frame numbers, with translation lookaside buffers caching these mappings to improve performance. Protection bits in page table entries enforce access permissions on individual pages.
Main memory must support both OS and user processes
Limited resource, must allocate efficiently
Contiguous allocation is one early method
Main memory usually into two partitions:
Resident operating system, usually held in low memory with interrupt vector
User processes then held in high memory
Each process contained in single contiguous section of memory
- Paging is a memory management technique that divides logical memory into fixed-size pages and physical memory into frames. When a process is executed, its pages are loaded into any available frames. This allows physical memory to be non-contiguous while avoiding external fragmentation.
- Address translation uses a page table containing the frame number for each process page. A logical address is divided into a page number, which indexes the page table, and a page offset, which combined with the frame base address gives the physical memory location.
- Segmentation divides a process into variable-sized segments, each with a base and limit defined in a segment table. A logical address has a segment number and offset, with the offset added to the base
Memory management techniques involve paging and segmentation. Paging divides memory into fixed-size blocks called frames and logical memory into same-sized blocks called pages. Segmentation divides memory into variable-sized blocks called segments. Paging uses a page table to map logical to physical addresses while segmentation uses a segment table containing the base and limit of each segment. Both techniques allocate and track memory to optimize performance but paging causes internal fragmentation while segmentation causes external fragmentation.
This document proposes a reverse encoding algorithm to address issues with data loss when compressing on-chip bus traces stored in a circular buffer.
Traditional forward encoding compression results in lost data when the initial uncompressed values are overwritten in the circular buffer. The proposed reverse encoding sets the newest data as uncompressed and encodes all preceding data in reference to the newest. This prevents data loss even when the buffer wraps around.
The algorithm is applied to common compression techniques and demonstrated on an on-chip bus architecture with Wishbone interfaces. Hardware is designed in VHDL and simulated, showing the approach supports both forward and backward tracing with efficient buffer usage and good compression ratios.
This document discusses segmentation and paging techniques for memory management. It begins with a brief overview of paging and segmentation. It then explains how segmentation and paging can be combined to achieve efficient memory utilization while allowing for protection and sharing. Under the combined approach, a process's address space is divided into segments, and each segment is divided into pages of fixed size. This allows sharing at both the segment and page level. The document provides examples of address translation under this combined approach.
The document discusses memory segmentation and paging techniques used in operating systems. Segmentation divides memory into variable-length segments, while paging divides memory into fixed-size pages. Paging maps logical pages to physical frame addresses using a page table for efficient memory access. It allows programs to access more memory than is physically available by swapping pages between memory and disk. The combination of segmentation and paging provides memory protection and reduces internal and external fragmentation.
Paging and segmentation are methods of non-contiguous memory allocation in operating systems. Paging divides both main memory and secondary storage into equal fixed-size pages. Each process is divided into pages the size of the page frame. Segmentation divides processes into variable-sized segments stored in secondary storage. The segment table maps logical to physical addresses by storing the base address and limit of each segment. Both methods allow for more efficient memory usage but paging has less overhead while segmentation avoids internal fragmentation.
DataSructure-Time and Space Complexity.pptxLakshmiSamivel
An array is a powerful and simple data structure that allows storing and accessing elements of the same data type contiguously in memory. It allows random access to elements via indices and is often used to implement other data structures like stacks and queues. Key properties of arrays include all elements being the same data type and size, stored consecutively in memory so they can be randomly accessed via their positions. Arrays have many applications including solving matrix problems, databases, sorting, and as components of other data structures.
Table Partitioning: Secret Weapon for Big Data ProblemsJohn Sterrett
Table partitioning allows administrators to divide large tables into smaller, more manageable partitions. This allows maintenance tasks like backups, index rebuilds and statistics updates to be performed on individual partitions rather than entire tables. It also improves query performance by allowing the optimizer to eliminate partitions that are not needed to satisfy a query. A sliding window technique uses partition splits and merges to automate moving old data into archive partitions with minimal data movement, improving purging and archiving processes.
The document discusses memory management requirements and techniques. The principal responsibilities of memory management are to bring processes into memory for processor execution to ensure sufficient ready processes, and to handle the movement of information between logical and physical memory levels on behalf of the programmer. Memory can be partitioned using fixed, dynamic, or buddy system approaches. Paging and segmentation divide processes into uniform and variable sized chunks respectively and use address translation via tables to map virtual to physical addresses during relocation.
A Dependent Set Based Approach for Large Graph AnalysisEditor IJCATR
Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs
are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering
methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which
decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of
information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in
abstract form.
Paging is a memory management scheme that allows the physical address space of a process to be non-contiguous. The logical memory is divided into pages of a fixed size, while physical memory is divided into frames of the same size. When accessing a memory location, the CPU generates a page number and page offset. The page number is used to index into a page table stored in main memory to map the logical page to a physical frame. A Translation Lookaside Buffer (TLB) cache is used to improve performance by caching recent page table lookups.
Protected mode memory addressing allows access to memory above 1MB and uses segment descriptors to manage memory segments. The segment register contains a selector that indexes into a descriptor table, which describes a segment's location, length, and access permissions. Descriptors can define segments up to 4GB in size. Paging divides physical memory and disk storage into pages that are mapped to virtual addresses, allowing flexible and protected memory management.
The document provides details about the 80386 processor architecture in real mode. It discusses the 80386 features, architecture, register set, memory addressing, and segmentation in real mode. The architecture of 80386 consists of the central processing unit, memory management unit, and bus interface unit. The central processing unit contains the instruction decoder and execution unit. The execution unit performs operations using the data unit, control unit, and test protection unit.
This document discusses paging as a memory management technique used in operating systems. It defines key concepts like logical address space, virtual address space, physical address space, pages, and frames. It provides an example to illustrate how logical addresses map to physical addresses using page size and frame size. Demand paging is introduced as a technique where pages are loaded into memory only when needed by the CPU rather than all at once.
This document contains the answers to several questions about memory management techniques. It compares internal and external fragmentation, discusses how a linkage editor changes binding of instructions and data, and analyzes how first-fit, best-fit, and worst-fit placing algorithms handle sample processes. It also examines the requirements for dynamic memory allocation in different schemes and compares schemes in terms of issues like fragmentation and code sharing.
ppt on Segmentation in operationg systemsuraj sharma
Segmentation is a memory management scheme that divides logical memory into segments. Each segment has a name, length, and is assigned a segment number. A logical address consists of a two-tuple of <segment-number, offset> that specifies the segment and location within that segment. A segment table maps the logical two-dimensional addresses to one-dimensional physical addresses by storing the base and limit of each segment.
Paging and Segmentation in Operating SystemRaj Mohan
The document discusses different types of memory used in computers including physical memory, logical memory, and virtual memory. It describes how virtual memory uses paging and segmentation techniques to allow programs to access more memory than is physically available. Paging divides memory into fixed-size pages that can be swapped between RAM and secondary storage, while segmentation divides memory into variable-length, protected segments. The combination of paging and segmentation provides memory protection and efficient use of available RAM.
The document discusses memory hierarchy and caching techniques. It begins by explaining the need for a memory hierarchy due to differing access times of memory technologies like SRAM, DRAM, and disk. It then covers concepts like cache hits, misses, block size, direct mapping, set associativity, compulsory misses, capacity misses, and conflict misses. Finally, it discusses using a second level cache to reduce memory access times by capturing misses from the first level cache.
Means-Ends Analysis
Ways to play
Game trees
Game Tree and Heuristic Evaluation
Minimax Evaluation of Game Trees
Minimax with Alpha-Beta Pruning
Game tree numericals
Main memory must support both OS and user processes
Limited resource, must allocate efficiently
Contiguous allocation is one early method
Main memory usually into two partitions:
Resident operating system, usually held in low memory with interrupt vector
User processes then held in high memory
Each process contained in single contiguous section of memory
- Paging is a memory management technique that divides logical memory into fixed-size pages and physical memory into frames. When a process is executed, its pages are loaded into any available frames. This allows physical memory to be non-contiguous while avoiding external fragmentation.
- Address translation uses a page table containing the frame number for each process page. A logical address is divided into a page number, which indexes the page table, and a page offset, which combined with the frame base address gives the physical memory location.
- Segmentation divides a process into variable-sized segments, each with a base and limit defined in a segment table. A logical address has a segment number and offset, with the offset added to the base
Memory management techniques involve paging and segmentation. Paging divides memory into fixed-size blocks called frames and logical memory into same-sized blocks called pages. Segmentation divides memory into variable-sized blocks called segments. Paging uses a page table to map logical to physical addresses while segmentation uses a segment table containing the base and limit of each segment. Both techniques allocate and track memory to optimize performance but paging causes internal fragmentation while segmentation causes external fragmentation.
This document proposes a reverse encoding algorithm to address issues with data loss when compressing on-chip bus traces stored in a circular buffer.
Traditional forward encoding compression results in lost data when the initial uncompressed values are overwritten in the circular buffer. The proposed reverse encoding sets the newest data as uncompressed and encodes all preceding data in reference to the newest. This prevents data loss even when the buffer wraps around.
The algorithm is applied to common compression techniques and demonstrated on an on-chip bus architecture with Wishbone interfaces. Hardware is designed in VHDL and simulated, showing the approach supports both forward and backward tracing with efficient buffer usage and good compression ratios.
This document discusses segmentation and paging techniques for memory management. It begins with a brief overview of paging and segmentation. It then explains how segmentation and paging can be combined to achieve efficient memory utilization while allowing for protection and sharing. Under the combined approach, a process's address space is divided into segments, and each segment is divided into pages of fixed size. This allows sharing at both the segment and page level. The document provides examples of address translation under this combined approach.
The document discusses memory segmentation and paging techniques used in operating systems. Segmentation divides memory into variable-length segments, while paging divides memory into fixed-size pages. Paging maps logical pages to physical frame addresses using a page table for efficient memory access. It allows programs to access more memory than is physically available by swapping pages between memory and disk. The combination of segmentation and paging provides memory protection and reduces internal and external fragmentation.
Paging and segmentation are methods of non-contiguous memory allocation in operating systems. Paging divides both main memory and secondary storage into equal fixed-size pages. Each process is divided into pages the size of the page frame. Segmentation divides processes into variable-sized segments stored in secondary storage. The segment table maps logical to physical addresses by storing the base address and limit of each segment. Both methods allow for more efficient memory usage but paging has less overhead while segmentation avoids internal fragmentation.
DataSructure-Time and Space Complexity.pptxLakshmiSamivel
An array is a powerful and simple data structure that allows storing and accessing elements of the same data type contiguously in memory. It allows random access to elements via indices and is often used to implement other data structures like stacks and queues. Key properties of arrays include all elements being the same data type and size, stored consecutively in memory so they can be randomly accessed via their positions. Arrays have many applications including solving matrix problems, databases, sorting, and as components of other data structures.
Table Partitioning: Secret Weapon for Big Data ProblemsJohn Sterrett
Table partitioning allows administrators to divide large tables into smaller, more manageable partitions. This allows maintenance tasks like backups, index rebuilds and statistics updates to be performed on individual partitions rather than entire tables. It also improves query performance by allowing the optimizer to eliminate partitions that are not needed to satisfy a query. A sliding window technique uses partition splits and merges to automate moving old data into archive partitions with minimal data movement, improving purging and archiving processes.
The document discusses memory management requirements and techniques. The principal responsibilities of memory management are to bring processes into memory for processor execution to ensure sufficient ready processes, and to handle the movement of information between logical and physical memory levels on behalf of the programmer. Memory can be partitioned using fixed, dynamic, or buddy system approaches. Paging and segmentation divide processes into uniform and variable sized chunks respectively and use address translation via tables to map virtual to physical addresses during relocation.
A Dependent Set Based Approach for Large Graph AnalysisEditor IJCATR
Now a day’s social or computer networks produced graphs of thousands of nodes & millions of edges. Such Large graphs
are used to store and represent information. As it is a complex data structure it requires extra processing. Partitioning or clustering
methods are used to decompose a large graph. In this paper dependent set based graph partitioning approach is proposed which
decomposes a large graph into sub graphs. It creates uniform partitions with very few edge cuts. It also prevents the loss of
information. The work also focuses on an approach that handles dynamic updation in a large graph and represents a large graph in
abstract form.
Paging is a memory management scheme that allows the physical address space of a process to be non-contiguous. The logical memory is divided into pages of a fixed size, while physical memory is divided into frames of the same size. When accessing a memory location, the CPU generates a page number and page offset. The page number is used to index into a page table stored in main memory to map the logical page to a physical frame. A Translation Lookaside Buffer (TLB) cache is used to improve performance by caching recent page table lookups.
Protected mode memory addressing allows access to memory above 1MB and uses segment descriptors to manage memory segments. The segment register contains a selector that indexes into a descriptor table, which describes a segment's location, length, and access permissions. Descriptors can define segments up to 4GB in size. Paging divides physical memory and disk storage into pages that are mapped to virtual addresses, allowing flexible and protected memory management.
The document provides details about the 80386 processor architecture in real mode. It discusses the 80386 features, architecture, register set, memory addressing, and segmentation in real mode. The architecture of 80386 consists of the central processing unit, memory management unit, and bus interface unit. The central processing unit contains the instruction decoder and execution unit. The execution unit performs operations using the data unit, control unit, and test protection unit.
This document discusses paging as a memory management technique used in operating systems. It defines key concepts like logical address space, virtual address space, physical address space, pages, and frames. It provides an example to illustrate how logical addresses map to physical addresses using page size and frame size. Demand paging is introduced as a technique where pages are loaded into memory only when needed by the CPU rather than all at once.
This document contains the answers to several questions about memory management techniques. It compares internal and external fragmentation, discusses how a linkage editor changes binding of instructions and data, and analyzes how first-fit, best-fit, and worst-fit placing algorithms handle sample processes. It also examines the requirements for dynamic memory allocation in different schemes and compares schemes in terms of issues like fragmentation and code sharing.
ppt on Segmentation in operationg systemsuraj sharma
Segmentation is a memory management scheme that divides logical memory into segments. Each segment has a name, length, and is assigned a segment number. A logical address consists of a two-tuple of <segment-number, offset> that specifies the segment and location within that segment. A segment table maps the logical two-dimensional addresses to one-dimensional physical addresses by storing the base and limit of each segment.
Paging and Segmentation in Operating SystemRaj Mohan
The document discusses different types of memory used in computers including physical memory, logical memory, and virtual memory. It describes how virtual memory uses paging and segmentation techniques to allow programs to access more memory than is physically available. Paging divides memory into fixed-size pages that can be swapped between RAM and secondary storage, while segmentation divides memory into variable-length, protected segments. The combination of paging and segmentation provides memory protection and efficient use of available RAM.
The document discusses memory hierarchy and caching techniques. It begins by explaining the need for a memory hierarchy due to differing access times of memory technologies like SRAM, DRAM, and disk. It then covers concepts like cache hits, misses, block size, direct mapping, set associativity, compulsory misses, capacity misses, and conflict misses. Finally, it discusses using a second level cache to reduce memory access times by capturing misses from the first level cache.
Means-Ends Analysis
Ways to play
Game trees
Game Tree and Heuristic Evaluation
Minimax Evaluation of Game Trees
Minimax with Alpha-Beta Pruning
Game tree numericals
This document discusses different data structures used in computer programming including arrays, pointers, trees, stacks, queues, and graphs. It provides examples of each structure and describes their basic operations like traversing, searching, inserting, and deleting. Key data structures covered are linear arrays, two-dimensional arrays, trees for maintaining employee records and representing algebraic expressions, stacks using push and pop operations, queues as first-in first-out lists, and graphs for non-hierarchical relationships.
AI-04 Production System - Search Problem.pptxPankaj Debbarma
Production Systems
A simple string rewriting production system example
Search Problem
Basic searching process
Algorithm’s performance and complexity
Computational complexity
‘Big - O’ notation
Tower of Hanoi
8 Puzzle
Water Jug Problem
Can Solution Steps be Ignored
Is Good Solution Absolute or Relative
Issues in the Design of Search Programs
Artificial Intelligence - Problems, State Space Search & Heuristic Search Techniques - Defining the Problems as a State Space Search
Production Systems
Production Characteristics
Production System Characteristics
Issues in the design of Search Programs
This document discusses structures in C programming. It defines a book structure with fields for title, author, pages, and price. It shows how to declare structure variables, assign values to structure members using the dot operator, and gives an example of a program to read and print personal information using a structure with name, date, and salary fields. The document is a lecture on derived data types in C programming focusing on defining and using structures.
This document discusses various topics related to multimedia systems and data compression, including:
1. It defines multimedia systems and describes their characteristics such as being computer controlled and representing information digitally. It lists common types and applications of multimedia.
2. It introduces the concepts of lossless and lossy data compression, explaining that lossless compression preserves all information while lossy compression loses some information.
3. It describes several popular lossless compression algorithms, including run-length coding, Huffman coding, and Shannon-Fano coding. It provides an example to illustrate run-length coding.
The document discusses HTTP and email. It describes how HTTP uses TCP on port 80 to access data on the World Wide Web, functioning as a combination of FTP and SMTP. It also explains that email is one of the most popular Internet services, with an architecture that includes user messages, SMTP for transfer, and POP and IMAP for message access, as well as web-based mail. The document contains figures illustrating these concepts.
The document discusses the architecture of the World Wide Web. It explains that the WWW uses a client/server model where clients access services using browsers that communicate with servers across different locations on the web. It outlines the key components of the client (browser), server, and Uniform Resource Locator (URL). It also categorizes web documents as static, dynamic, or active based on when their content is determined, and provides examples of each type of document.
The presentation is for support of Network Layer class on Logical Addressing topic. From IPv4 address to Network Address Translation. Resources have been derived from Data Communication & Networking by Behrouz A. Forouzan
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
6. CONSIDERATION PAG. SEG.
Need the programmer be aware that this technique
is being used?
No Yes
How many linear address spaces are there? 1 Many
Can the total address space exceed the size of
physical memory?
Yes Yes
Can procedures and data be distinguished and
separately protected?
No Yes
Can tables whose size fluctuates be accommodated
easily?
No Yes
Is sharing of procedures between users facilitated? No Yes
7. Segmentation
Why was paging invented?
• To get a large linear address space without
having to buy more physical memory.
Why was segmentation invented?
• To allow programs and data to be broken up
into logically independent address spaces and
to aid sharing and protection.
8. Segmentation
Q. Consider the following segment table:
What are the physical addresses for the following logical addresses ?
(i) 0430 (ii) 110 (iii) 2500 (iv) 3400 (v) 4112
Segment Base Length
0 219 600
1 2300 14
2 90 100
3 1327 580
4 1952 96
9. Segmentation
Q. On a system using simple segmentation, compute the
physical address for each of the logical addresses given the
following segment table. If the address generates a segment
fault, indicate so.
(i) 0, 99 (ii) 2, 78 (iii) 1, 265 (iv) 3, 222 (v) 0, 111
Segment Base Length
0 330 124
1 876 124
2 111 99
3 498 302
10. Figure 3-33. (a)-(d) Development of checkerboarding. (e) Removal of the
checkerboarding by compaction.
11. Figure 3-34. The MULTICS
virtual memory. (a) The
descriptor segment pointed
to the page tables.
Segmentation with Paging: MULTICS
• 218 segments (262144)
• 1 segment = 65,536 (36-
bit) words long
• Each segment treated as a
virtual memory
12. Figure 3-34. The MULTICS virtual memory. (b) A segment descriptor.
The numbers are the field lengths.
Segmentation with Paging: MULTICS
13. Figure 3-35. A 34-bit MULTICS virtual address.
Segmentation with Paging: MULTICS
When memory reference occurs, following algorithm is carried out (Figure 3-36).
1. The segment number was used to find the segment descriptor.
2. A check was made to see if the segment’s page table was in memory. If it
was, it was located. If it was not, a segment fault occurred. If there was a
protection violation, a fault (trap) occurred.
14. Segmentation with Paging: MULTICS
(contd.)
3. The page table entry for the
requested virtual page was
examined. If the page itself was
not in memory, a page fault was
triggered. If it was in memory,
the main-memory address of the
start of the page was extracted
from the page table entry.
4. The offset was added to the page
origin to give the main memory
address where the word was
located.
5. The read or store finally took
place.
Figure 3-36. Conversion
of a two-part MULTICS
address into a main
memory address.
15. Figure 3-37. A simplified
version of the MULTICS
TLB (16-word high speed).
The existence of two page
sizes made the actual TLB
more complicated.
Segmentation with Paging: MULTICS
16. Segmentation with Paging: MULTICS
Q. In a paged-segmented system, a virtual address
consists of 32 bits of which 12 bits are
displacement, 11 bits are segment number and
9 bits are page number. Calculate the following:
(i) Page size
(ii) Maximum segment size
(iii) Maximum number of pages
(iv) Maximum number of segments