Enhanced ECPC Security Algorithm for Cloud Computing Environment

Overview & Implementation

This case study highlights the research assistance provided by TEQ Research Solution for a Ph.D. research project focused on Data Security in Cloud Computing Environment using advanced cryptographic and authentication techniques.

The research proposed a novel security framework named ECPC (Elliptical Curve and Polynomial Cryptography) to improve secure data transmission, authentication, encryption efficiency, and confidentiality in cloud environments.

Problem Statement

Cloud computing environments face major security challenges due to:

·         Unauthorized access

·         Data theft

·         Insider attacks

·         Weak authentication mechanisms

·         Poor encryption performance

·         High encryption and decryption time

·         Security vulnerabilities in cloud storage systems

Existing cryptographic techniques such as:

·         RSA

·         ECC (Elliptic Curve Cryptography)

·         ECDH (Elliptic Curve Diffie-Hellman)

·         ECDSA (Elliptic Curve Digital Signature Algorithm)

primarily focused on encryption and decryption processes but lacked optimization in:

·         Time Complexity

·         Space Complexity

·         Throughput Performance

·         Signature Verification Efficiency

These limitations reduced overall security performance in cloud computing environments.

Proposed Solution

TEQ Research Solution assisted in developing an advanced security algorithm called:

ECPC – Elliptical Curve and Polynomial Cryptography

The proposed ECPC framework utilized:

·         Enhanced Elliptic Curve Cryptography

·         Polynomial Cryptography

·         Galois Field GF(2m)

·         Secure Authentication Mechanisms

·         Efficient Encryption and Decryption Models

The proposed system focused on:

·         Secure cloud data transmission

·         Efficient key generation

·         Faster encryption and decryption

·         Improved throughput

·         Enhanced signature verification

·         Data confidentiality and integrity

·         Protection against unauthorized access

Technologies & Research Areas

·         Cloud Computing Security

·         Elliptic Curve Cryptography (ECC)

·         ECDH

·         ECDSA

·         RSA

·         Polynomial Cryptography

·         Galois Field Cryptography

·         Java Implementation

·         MATLAB Simulation

·         Secure Authentication Systems

Experimental Analysis

The proposed ECPC algorithm was experimentally compared with existing security techniques including:

·         RSA

·         ECC

·         ECDH

·         ECDSA

Performance Metrics Evaluated

·         Key Generation Time

·         Encryption Time

·         Decryption Time

·         Throughput

·         Time Complexity

·         Space Complexity

·         Signature Verification

Experimental Environment

The implementation was tested using:

·         Eclipse Jee Mars

·         Java Development Kit 8

·         MATLAB 2014

·         Windows 8.1 Pro

·         Intel Core i5 Processor

·         4GB RAM

Key Findings

The proposed ECPC algorithm achieved:

·         Faster key generation

·         Reduced encryption and decryption time

·         Improved throughput

·         Better signature verification

·         Enhanced data confidentiality

·         Higher cloud security performance

·         Better efficiency than RSA, ECC, ECDH, and ECDSA

The research proved that ECPC provides efficient and secure data transmission even under heavy cloud traffic conditions.

Security Areas Addressed

The research also analyzed various cloud security threats including:

·         SQL Injection Attacks

·         Cross Site Scripting (XSS)

·         Man-in-the-Middle Attacks

·         Malware Injection

·         DNS Attacks

·         Distributed Denial of Service (DDoS)

·         Hypervisor Attacks

·         Cookie Poisoning

·         CAPTCHA Breaking

The proposed framework enhanced security across:

·         Network Layer

·         Application Layer

·         Cloud Storage Layer

·         Authentication Layer

Research Contributions

The research contributed valuable advancements in:

·         Secure cloud communication

·         Efficient cryptographic algorithms

·         Cloud authentication systems

·         Secure data storage

·         Encryption optimization

·         Secure cloud service models

International Journal Publications

·         Data Security in Cloud Computing

·         ECC-based Cloud Security Framework

·         Secure Authentication in Cloud Environment

·         Cryptographic Algorithms for Cloud Protection

·         Efficient Encryption Techniques in Cloud Networks

·         Cloud Data Confidentiality Models

·         Enhanced Polynomial Cryptography Research

TEQ Research Solution Contribution

TEQ Research Solution provided complete research assistance including:

·         Research problem formulation

·         Literature survey support

·         Security framework design guidance

·         Algorithm development assistance

·         Experimental setup and implementation

·         Comparative performance analysis

·         Thesis and documentation support

·         International journal publication assistance

Outcome

The proposed ECPC framework successfully enhanced cloud security performance by improving encryption efficiency, authentication reliability, and secure data transmission. The research demonstrated that integrating Elliptical Curve and Polynomial Cryptography provides a highly secure and efficient solution for cloud computing environments.

Worked For

D. Pharkkavi – Research Scholar

Achievement

We had assisted for 7 papers in International Journals.