information security management system,' takes a whole-organization, risk-based approach to information security that addresses people, processes, and technology.
This Presentation highlights the project in which i am currently working on.
Secure 2-party AES:
AES is one of the most widely used block cipher.It takes a secret key as input and a message block to be encrypted and generates the ciphertext corresponding to the message, without disclosing anything about the key or the message.
Typically the key and the message to be encrypted are available with a single entity.
Now consider a scenario where we have two parties, one holding the secret key and the other holding the message to be encrypted.
We want to design a protocol such that at the end of the protocol, the second party learns the encryption of the message (and no information about the key) while the first party learns nothing about the encrypted message.
The goal of this project will be to implement such a protocol.
This Presentation highlights the project in which i am currently working on.
Secure 2-party AES:
AES is one of the most widely used block cipher.It takes a secret key as input and a message block to be encrypted and generates the ciphertext corresponding to the message, without disclosing anything about the key or the message.
Typically the key and the message to be encrypted are available with a single entity.
Now consider a scenario where we have two parties, one holding the secret key and the other holding the message to be encrypted.
We want to design a protocol such that at the end of the protocol, the second party learns the encryption of the message (and no information about the key) while the first party learns nothing about the encrypted message.
The goal of this project will be to implement such a protocol.
“Proposed Model for Network Security Issues Using Elliptical Curve Cryptography”IOSR Journals
Abstract: Elliptic Curve Cryptography (ECC) plays an important role in today’s public key based security
systems. . ECC is a faster and more secure method of encryption as compared to other Public Key
Cryptographic algorithms. This paper focuses on the performance advantages of using ECC in the wireless
network. So in this paper its algorithm has been implemented and analyzed for various bit length inputs. The
Private key is known only to sender and receiver and hence data transmission is secure.
Advanced Encryption Standard, Multiple Encryption and Triple DES, Block Cipher Modes of
operation, Stream Ciphers and RC4, Confidentiality using Symmetric Encryption, Introduction
to Number Theory: Prime Numbers, Fermat’s and Euler’s Theorems, Testing for Primality, The
Chinese Remainder Theorem, Discrete Logarithms, Public-Key Cryptography and RSA
Preventing Autonomous System against IP Source Address Spoofing: (PASIPS) A N...IDES Editor
Protecting sensitive information of an Autonomous
System (AS) is a critical issues. False origin with IP source
address spoofing is a major threat for AS which causes serious
attacks like insider attack, DDoS, unauthorized access of
intellectuals and many more. Intra domain IP source address
spoofing is still a challenge for security experts due to less
secure router architecture and unavailability of perfect
solution. In this paper, we aim to modify current LAN
communication technology in private network to eliminate
the possibility of any spoofed packet going outside that
network. Our method is fast, light weighted, low management
overhead and easy to deploy in IPv4 (preferable in IPv6), which
prevent IP source address spoofing in same subnet (AS) and
replay attack..
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
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“Proposed Model for Network Security Issues Using Elliptical Curve Cryptography”IOSR Journals
Abstract: Elliptic Curve Cryptography (ECC) plays an important role in today’s public key based security
systems. . ECC is a faster and more secure method of encryption as compared to other Public Key
Cryptographic algorithms. This paper focuses on the performance advantages of using ECC in the wireless
network. So in this paper its algorithm has been implemented and analyzed for various bit length inputs. The
Private key is known only to sender and receiver and hence data transmission is secure.
Advanced Encryption Standard, Multiple Encryption and Triple DES, Block Cipher Modes of
operation, Stream Ciphers and RC4, Confidentiality using Symmetric Encryption, Introduction
to Number Theory: Prime Numbers, Fermat’s and Euler’s Theorems, Testing for Primality, The
Chinese Remainder Theorem, Discrete Logarithms, Public-Key Cryptography and RSA
Preventing Autonomous System against IP Source Address Spoofing: (PASIPS) A N...IDES Editor
Protecting sensitive information of an Autonomous
System (AS) is a critical issues. False origin with IP source
address spoofing is a major threat for AS which causes serious
attacks like insider attack, DDoS, unauthorized access of
intellectuals and many more. Intra domain IP source address
spoofing is still a challenge for security experts due to less
secure router architecture and unavailability of perfect
solution. In this paper, we aim to modify current LAN
communication technology in private network to eliminate
the possibility of any spoofed packet going outside that
network. Our method is fast, light weighted, low management
overhead and easy to deploy in IPv4 (preferable in IPv6), which
prevent IP source address spoofing in same subnet (AS) and
replay attack..
Similar to Bluetooth - Key risk-based approach Heirarchy.pptx (20)
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
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KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
An Approach to Detecting Writing Styles Based on Clustering Techniquesambekarshweta25
An Approach to Detecting Writing Styles Based on Clustering Techniques
Authors:
-Devkinandan Jagtap
-Shweta Ambekar
-Harshit Singh
-Nakul Sharma (Assistant Professor)
Institution:
VIIT Pune, India
Abstract:
This paper proposes a system to differentiate between human-generated and AI-generated texts using stylometric analysis. The system analyzes text files and classifies writing styles by employing various clustering algorithms, such as k-means, k-means++, hierarchical, and DBSCAN. The effectiveness of these algorithms is measured using silhouette scores. The system successfully identifies distinct writing styles within documents, demonstrating its potential for plagiarism detection.
Introduction:
Stylometry, the study of linguistic and structural features in texts, is used for tasks like plagiarism detection, genre separation, and author verification. This paper leverages stylometric analysis to identify different writing styles and improve plagiarism detection methods.
Methodology:
The system includes data collection, preprocessing, feature extraction, dimensional reduction, machine learning models for clustering, and performance comparison using silhouette scores. Feature extraction focuses on lexical features, vocabulary richness, and readability scores. The study uses a small dataset of texts from various authors and employs algorithms like k-means, k-means++, hierarchical clustering, and DBSCAN for clustering.
Results:
Experiments show that the system effectively identifies writing styles, with silhouette scores indicating reasonable to strong clustering when k=2. As the number of clusters increases, the silhouette scores decrease, indicating a drop in accuracy. K-means and k-means++ perform similarly, while hierarchical clustering is less optimized.
Conclusion and Future Work:
The system works well for distinguishing writing styles with two clusters but becomes less accurate as the number of clusters increases. Future research could focus on adding more parameters and optimizing the methodology to improve accuracy with higher cluster values. This system can enhance existing plagiarism detection tools, especially in academic settings.
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Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
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We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
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Bluetooth - Key risk-based approach Heirarchy.pptx
1. Higher
Layer_Key
Est
User
Interaction
(PIN)
Pre-Config
Pkey
Init Key
“Kinit”
Old Link
Key
Link Key
Authentication
Process
Overlay
Key
Encryption
Key
Constraint
Key
Payload
Key “KP”
Encryption
Process
Shared Secret b/w
2x comm devices
Kinit = E22(Pkey, IN_RAND, LPKey)
Short-lived key, used for pairing
Shared secret,
used after pairing
Kovl = E22(K, RAND3, 16)
Conveying the master key to each
of the slave via Broadcast data
Derived from Link key as:
Kc=E3(K,EN_RAND,COF)
Used for encryption in USA
Impose restrictions on the export of encryption mech
Conversion of 128 bits Kc into a Kc’ (length < 128 bits)
E22 E21
AC0
E0
E3
Summary of Algorithms
• E1, E3, E21, E22 use SAFER+ (Block Cipher)
• E0 is based on Stream Cipher
• 128 bits block cipher
• Key is directly input to E0 to generate a
stream for Encryption
Actual key used to Encrypt/ Decrypt B.T packets
Kp=E0(KC’, CK_VAL, BD_ADDR, EN_RAND)
BLUETOOTH - KEY HIERARCHY
OR
.
.
.
.
g1
L & g2
L