Evaluating the Efficacy and Security of Steganography Techniques in Cloud Computing

Cloud computing has revolutionized the handling, access, and storage of data. However, ensuring the security and privacy of data within cloud environments remains a significant challenge. This research offers a comprehensive examination aimed at developing a dependable steganographic technique, evaluating its effectiveness, determining its impact on cloud computing performance, and exploring potential vulnerabilities along with solutions. The primary objective is to assess how steganography influences the performance of cloud computing systems. Through performance evaluations and benchmarks, the study investigates the effects of steganography on system performance. It utilizes various file formats and sizes to simulate real-world conditions. The research also identifies potential weaknesses of the proposed steganographic method and explores strategies to mitigate these vulnerabilities. An analysis of security vulnerabilities, including potential attacks and detection techniques, leads to the formulation of effective countermeasures. The findings of this research contribute to the advancement of steganography-based data security in cloud environments. By highlighting the strengths, weaknesses, and areas for improvement of the proposed steganographic approach, the study offers insights into its impact on cloud computing systems and supports the development of robust security measures

Hidden and Uncontrolled - On the Emergence of Network Steganographic Threats

Network steganography is the art of hiding secret information within innocent network transmissions. Recent findings indicate that novel malware is increasingly using network steganography. Similarly, other malicious activities can profit from network steganography, such as data leakage or the exchange of pedophile data. This paper provides an introduction to network steganography and highlights its potential application for harmful purposes. We discuss the issues related to countering network steganography in practice and provide an outlook on further research directions and problems.Comment: 11 page

JPEG steganography with particle swarm optimization accelerated by AVX

Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography. Optimization methods can improve the properties of images with embedded secret but introduce additional computational complexity to their processing. AVX instructions available in modern CPUs are, in this work, used to accelerate data parallel operations that are part of image steganography with advanced optimizations.Web of Science328art. no. e544

Hybrid Cryptography and Steganography-Based Security System for IoT Networks

Despite the fact that many IoT devices are publicly accessible to everyone on the network, understanding the security risks and threats posed by cyber attacks is critical; as a result, it should be safeguarded. Plain text is constructed into encrypted text, before being delivered by using cryptography, and is then reconstructed back to plain text after receiving a response from the recipient. The steganography technique can be used to hide sensitive information incorporated in a text, audio, or video file. One approach is to hide data in bits that correspond to successive rows of pixels with the same color in an image file.  As a consequence, the image file retains the original's appearance while also containing "noise" patterns made out of common, unencrypted data. To do this, the encrypted data is subtly applied to the redundant data. In this work, it is suggested that IoT network data be encrypted using cryptography, and that an encrypted message be concealed inside an image file using steganography. Additionally, it is suggested to enhance the number of bits that may be stored within a single picture pixel.  The payload that may be sent through an image is significantly increased by incorporating Convolutional Neural Networks into the classic steganography technique. In this work, we propose, design, and train Convolutional Neural Networks (CNN) to enhance the amount of data that can be securely encrypted and decrypted to show the original message

The Automation of the Extraction of Evidence masked by Steganographic Techniques in WAV and MP3 Audio Files

Antiforensics techniques and particularly steganography and cryptography have become increasingly pressing issues that affect the current digital forensics practice, both techniques are widely researched and developed as considered in the heart of the modern digital era but remain double edged swords standing between the privacy conscious and the criminally malicious, dependent on the severity of the methods deployed. This paper advances the automation of hidden evidence extraction in the context of audio files enabling the correlation between unprocessed evidence artefacts and extreme Steganographic and Cryptographic techniques using the Least Significant Bits extraction method (LSB). The research generates an in-depth review of current digital forensic toolkit and systems and formally address their capabilities in handling steganography-related cases, we opted for experimental research methodology in the form of quantitative analysis of the efficiency of detecting and extraction of hidden artefacts in WAV and MP3 audio files by comparing standard industry software. This work establishes an environment for the practical implementation and testing of the proposed approach and the new toolkit for extracting evidence hidden by Cryptographic and Steganographic techniques during forensics investigations. The proposed multi-approach automation demonstrated a huge positive impact in terms of efficiency and accuracy and notably on large audio files (MP3 and WAV) which the forensics analysis is time-consuming and requires significant computational resources and memory. However, the proposed automation may occasionally produce false positives (detecting steganography where none exists) or false negatives (failing to detect steganography that is present) but overall achieve a balance between detecting hidden data accurately along with minimising the false alarms.Comment: Wires Forensics Sciences Under Revie

Dynamic virtual cluster cloud security using hybrid steganographic image authentication algorithm

Storing data in a third party cloud system causes serious problems on data confidentiality. Generally, encryption techniques provide data confidentiality but with limited functionality, which occurs due to unsupported actions of encryption operation in cloud storage space. Hence, developing a decentralized secure storage system with multiple support functions like encryption, encoding, and forwarding tends to get complicated, when the storage system spreads. This paper aims mainly on hiding image information using specialized steganographic image authentication (SSIA) algorithm in clustered cloud systems. The SSIA algorithm is applied to virtual elastic clusters in a public cloud platform. Here, the SSIA algorithm embeds the image information using blowfish algorithm and genetic operators. Initially, the blowfish symmetric block encryption is applied over the image and then the genetic operator is applied to re-encrypt the image information. The proposed algorithm provides an improved security than conventional blowfish algorithm in a clustered cloud system

CLOUD SECURITY USING LEAST SIGNIFICANT BIT STEGONAGRAPHY

The Cloud Computing is a dynamic term, which gives question free information rethinking office which keep the client from weights of nearby stockpiling issues. Presently a-days, distributed computing demonstrated its significance where it is being utilized by little and large associations. The significance of distributed computing is because of the different administrations gave by the cloud. One of these administrations is capacity as an administration (SaaS) which permits clients to store their information in the cloud information bases. The disadvantage of this administration is the security challenge since an outsider deals with the information. The clients need to have a sense of security to store their information in the cloud. Thus, we need for models that will upgrade the information security. The picture steganography is an approach to shield information from unapproved access. Picture steganography permits clients to hide mystery information in a cover picture.&nbsp