Stenography projects examples using omnet++

To implement the Steganography is the practice of hiding information in other non-secret data, like images, audio, video, or network traffic. Using the tool OMNeT++, we can mimic network environments where steganographic methods are used to secretly convey information, and we can also discover methods to identify and counteract steganography. The following are some project examples related to steganography that can be executed using OMNeT++:

1. Network Traffic Steganography Simulation

• Objective: Mimic the use of network traffic as a medium for hiding data, where information is secretly embedded within normal network packets.
• Implementation: Make a network where nodes communicate using standard protocols such as HTTP, TCP, or UDP. Execute a steganography module that hides information in packet headers, payloads, or timing intervals among packets. The getting node gets the unseen information during normal communication.
• Extension: Evaluate the influence of traffic steganography on network performance and mimic techniques for detecting hidden data in the network traffic, like statistical analysis of packet sizes or timing patterns.

2. Steganography in Voice over IP (VoIP)

• Objective: Emulate the implanting of hidden messages in VoIP traffic, leveraging the redundancy in audio data to transfer covert information.
• Implementation: Create a network where VoIP calls are mimicked among the nodes. Execute a steganography algorithm that implants hidden messages within the audio packets like using LSB (Least Significant Bit) manipulation. The receiving node gets the hidden messages from the incoming VoIP stream.
• Extension: Mimic detection methods that evaluate audio quality, packet loss, or jitter to classify the presence of steganographic data. Compare the efficiency of various steganographic methods in keeping audio quality while hiding data.

3. Image-Based Steganography in Network Transmission

• Objective: Mimic the transmission of images encompassing hidden data in a network, where steganography is used to insert secret messages within the image files.
• Implementation: Make a network where nodes interchange images as part of their communication. Execute an image steganography algorithm like LSB, DCT (Discrete Cosine Transform) to hide messages in the image pixels. The receiving node abstracts the hidden message upon receiving the image.
• Extension: Emulate the effects of compression, resizing, or other image processing on the integrity of the hidden data. Execute detection methods that examine image anomalies or use steganalysis tools to classify hidden content.

4. Steganography in Network Protocols

• Objective: Mimic the implanting of hidden information in the fields of network protocols like TCP/IP, ICMP, where protocol headers are used to secretly convey data.
• Implementation: Create a network where general protocols are used for communication. Execute a steganography module that inserts data within protocol fields, like sequence numbers, IP identification fields, or padding bytes. The receiving node decrypts the hidden data during protocol processing.
• Extension: Discover detection methods that include deep packet inspection, protocol anomaly detection, or statistical analysis of header fields to expose steganographic data. Mimic the trade-offs among stealthiness and data capacity.

5. Steganography Detection (Steganalysis) in Network Traffic

• Objective: Emulate methods for detecting steganography in network traffic, concentrating on classifying abnormal patterns or discrepancies that may show hidden data.
• Implementation: Make a network where some nodes use steganography to hide data within traffic. Execute steganalysis techniques, like statistical analysis of packet sizes, timing anomalies, or frequency domain analysis, to identify the existence of steganographic data.
• Extension: Compare the efficiency of various steganalysis methods in identifying numerous kinds of network steganography. Mimic scenarios where the steganography method is adaptive, creating detection more challenging.

6. Steganography in Encrypted Network Communication

• Objective: Emulate the use of steganography in encrypted network traffic, where hidden data is inserted in the ciphertext of encrypted messages.
• Implementation: Execute a network where communication is encrypted using standard encryption protocols such as SSL/TLS. Improve a steganography method that implants hidden messages within the ciphertext, taking benefits of the redundancy in encrypted data.
• Extension: Examine the challenges of detecting steganography within encrypted traffic. Mimic the impact of encryption on the efficiency of steganalysis and discover methods to improve the detection of hidden data in encrypted streams.

7. Covert Channel Creation Using Steganography

• Objective: Mimic the creation of covert channels in a network using steganography, permitting for hidden communication among the nodes without detection.
• Implementation: Create a network where steganographic methods are used to make covert channels within standard communication protocols. For instance, use timing steganography (modulating packet timings) or packet loss steganography (modulating packet drops) to transfer hidden messages.
• Extension: Mimic approaches for detecting and disrupting covert channels, like traffic normalization, entropy analysis, or timing anomaly detection. Calculate the efficiency of these countermeasures in avoiding covert communication.

8. Steganography in IoT Networks

• Objective: Mimic the use of steganography in IoT (Internet of Things) networks, where data is hidden in the communication of resource-constrained devices.
• Implementation: Execute a network of IoT devices communicating with a central server. Improve a steganography method appropriate for the low-bandwidth, low-power communication usually used in IoT, like implanting data in sensor readings or control messages.
• Extension: Discover the tasks of detecting steganography in IoT environments, where standard steganalysis methods may not be valid due to limited data and processing power. Mimic security calculates that IoT networks can adopt to avoid steganographic abuse.

9. Video Steganography in Network Streaming

• Objective: Mimic the inserting of hidden data within video streams transferred over a network, leveraging the redundancy in video frames to disappear information.
• Implementation: Create a network where video content is streamed among nodes. Execute a steganography algorithm that hides messages in the video frames like using motion vectors or DCT coefficients. The receiving node excerpts the hidden data while playing the video.
• Extension: Examine the impact of video compression, format conversion, or streaming protocols on the integrity of the hidden data. Execute steganalysis methods to identify hidden messages within video streams, and assess their efficiency.

10. Steganography for Secure Voting in a Networked System

• Objective: Mimic a safe voting system where votes are hidden in network traffic using steganography to make sure voter privacy and data integrity.
• Implementation: Design a network where voting data is transferred among clients and a central server. Use steganography to insert voting information within usual network traffic, make certain that votes remain confidential and tamper-proof.
• Extension: Mimic situations where adversaries attempt to intercept or change votes and examine how the steganographic method defends versus such attacks. Assess the security and robustness of the voting system against numerous threats.

11. Simulation of Adaptive Steganography in Dynamic Network Conditions

• Objective: Mimic a steganography system that alters to modifying network conditions, like changing bandwidth, latency, or packet loss, to keep the covert transmission of data.
• Implementation: Execute a network where conditions change dynamically like due to congestion or mobility. Improve a steganography method that modifies its inserting strategy based on real-time network feedback, make sure reliable hidden communication.
• Extension: Calculate the adaptability of the steganography system in numerous network scenarios, like high-latency networks or environments with regular disconnections. Compare the performance and stealthiness of adaptive against static steganography methods.

12. Simulation of Blockchain-Based Steganography

• Objective: Mimic the implanting of hidden data in the blockchain transactions transferred through a network, make sure that the data is dispersed and secured within the blockchain.
• Implementation: Create blockchain network where transactions are transmitted among nodes. Execute a steganography method that implants data within blockchain transactions like in transaction metadata or script fields. The hidden data is stored securely within the blockchain ledger.
• Extension: Examine the impact of blockchain properties like immutability, consensus on the security and detectability of the hidden data. Discover techniques for detecting steganographic data in blockchain transactions and estimate their effectiveness.

We had executed more details and some project instances related to steganography that can be implemented using OMNeT++. We will be delivered further informations regarding this topic. Check out some examples of Steganography projects we’re currently working on using the OMNeT++ tool. We provide top-notch network performance for your projects, so reach out to omnet-manual.com for the best results. Our team is focused on different techniques to detect and combat steganography tailored to your needs.