An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)

• URL: http://arxiv.org/abs/2503.18859v1
• Date: Mon, 24 Mar 2025 16:33:45 GMT
• Title: An End-to-End GSM/SMS Encrypted Approach for Smartphone Employing Advanced Encryption Standard(AES)
• Authors: Wasim Abbas, Salaki Reynaldo Joshua, Asim Abbas, Je-Hoon Lee,
• Abstract summary: We proposed methodology that enables users to encrypt text messages for secure transmission over cellular networks.<n>This approach utilizes the AES algorithm following the proposed protocols for encryption and decryption.<n>It ensures secure text encryption and enables users to enter messages that are encrypted using a key at the sender's end and decrypted at the recipient's end.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Encryption is crucial for securing sensitive data during transmission over networks. Various encryption techniques exist, such as AES, DES, and RC4, with AES being the most renowned algorithm. We proposed methodology that enables users to encrypt text messages for secure transmission over cellular networks. This approach utilizes the AES algorithm following the proposed protocols for encryption and decryption, ensuring fast and reliable data protection. This approach ensures secure text encryption and enables users to enter messages that are encrypted using a key at the sender's end and decrypted at the recipient's end, which is compatible with any Android device. SMS are encrypted with the AES algorithm, making them resistant to brute-force attempts. As SMS has become a popular form of communication, protecting personal data, email alerts, banking details, and transactions information. It addresses security concerns by encrypting messages using AES and cryptographic techniques, providing an effective solution for protecting sensitive data during SMS exchanges.

Related papers

• Secure Text Mail Encryption with Generative Adversarial Networks [0.0]
  We present an encryption model based on Generative Adversarial Networks (GANs) We assert that encrypted texts can be transmitted more efficiently and securely than from RSA encryption.
  arXiv  Detail & Related papers  (2025-04-08T07:27:57Z)
• CipherGuard: Compiler-aided Mitigation against Ciphertext Side-channel Attacks [30.992038220253797]
  CipherGuard is a compiler-aided mitigation methodology to counteract ciphertext side channels with high efficiency and security.<n>We demonstrate that CipherGuard can strengthen the security of various cryptographic implementations more efficiently than existing state-of-the-art defense mechanism, i.e., CipherFix.
  arXiv  Detail & Related papers  (2025-02-19T03:22:36Z)
• Secure Semantic Communication With Homomorphic Encryption [52.5344514499035]
  This paper explores the feasibility of applying homomorphic encryption to SemCom.<n>We propose a task-oriented SemCom scheme secured through homomorphic encryption.
  arXiv  Detail & Related papers  (2025-01-17T13:26:14Z)
• Gradient-based facial encoding for key generation to encrypt and decrypt multimedia data [0.873811641236639]
  Security systems relying on passwords are vulnerable to being forgotten, guessed, or breached.<n>This paper introduces a biocryptosystem utilizing face recognition techniques to address these issues.<n>The proposed system creates a distinct 32-bit encryption key derived from facial features.
  arXiv  Detail & Related papers  (2024-12-09T19:12:17Z)
• A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers [1.5953412143328967]
  Indistinguishability is a fundamental principle of cryptographic security, crucial for securing data transmitted between Internet of Things (IoT) devices. This research investigates the ability of machine learning (ML) in assessing indistinguishability property in encryption systems. We introduce MIND-Crypt, a novel ML-based framework designed to assess the cryptographic indistinguishability of lightweight block ciphers.
  arXiv  Detail & Related papers  (2024-05-30T04:40:13Z)
• Enc2DB: A Hybrid and Adaptive Encrypted Query Processing Framework [47.11111145443189]
  We introduce Enc2DB, a novel secure database system following a hybrid strategy on and openGauss. We present a micro-benchmarking test and self-adaptive mode switch strategy that can choose the best execution path (cryptography or TEE) to answer a given query. We also design and implement a ciphertext index compatible with native cost model and querys to accelerate query processing.
  arXiv  Detail & Related papers  (2024-04-10T08:11:12Z)
• Boosting Digital Safeguards: Blending Cryptography and Steganography [0.30783046172997025]
  Steganography involves hiding data within another medium, thereby facilitating covert communication by making the message invisible. This proposed approach takes advantage of the latest advancements in Artificial Intelligence (AI) and Deep Learning (DL), especially through the application of Generative Adversarial Networks (GANs) The application of GANs enables a smart, secure system that utilizes the inherent sensitivity of neural networks to slight alterations in data.
  arXiv  Detail & Related papers  (2024-04-09T03:36:39Z)
• CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models [49.60006012946767]
  We propose CodeChameleon, a novel jailbreak framework based on personalized encryption tactics. We conduct extensive experiments on 7 Large Language Models, achieving state-of-the-art average Attack Success Rate (ASR) Remarkably, our method achieves an 86.6% ASR on GPT-4-1106.
  arXiv  Detail & Related papers  (2024-02-26T16:35:59Z)
• Grain-128PLE: Generic Physical-Layer Encryption for IoT Networks [6.515605001492591]
  Grain-128PLE is a lightweight physical layer encryption scheme that is derived from the Grain-128AEAD v2 stream cipher. The design of Grain-128PLE maintains the structure of the main building blocks of the original Grain-128AEAD v2 stream cipher.
  arXiv  Detail & Related papers  (2023-09-27T10:48:52Z)
• SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers [50.608828039206365]
  We propose SOCI+ which significantly improves the performance of SOCI. SOCI+ employs a novel (2, 2)-threshold Paillier cryptosystem with fast encryption and decryption as its cryptographic primitive. Compared with SOCI, our experimental evaluation shows that SOCI+ is up to 5.4 times more efficient in computation and 40% less in communication overhead.
  arXiv  Detail & Related papers  (2023-09-27T05:19:32Z)
• GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher [85.18213923151717]
  Experimental results show certain ciphers succeed almost 100% of the time to bypass the safety alignment of GPT-4 in several safety domains. We propose a novel SelfCipher that uses only role play and several demonstrations in natural language to evoke this capability.
  arXiv  Detail & Related papers  (2023-08-12T04:05:57Z)
• Recovering AES Keys with a Deep Cold Boot Attack [91.22679787578438]
  Cold boot attacks inspect the corrupted random access memory soon after the power has been shut down. In this work, we combine a novel cryptographic variant of a deep error correcting code technique with a modified SAT solver scheme to apply the attack on AES keys. Our results show that our methods outperform the state of the art attack methods by a very large margin.
  arXiv  Detail & Related papers  (2021-06-09T07:57:01Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.