Search Results

This is a digital age. In a world where everything seems to be public, privacy and confidentiality have never been more important. So, the combination of this aspect of our life and this need of our age is the ability to securely hide data in the digital ...

Existing selective encryption schemes for High Efficiency Video Coding (HEVC) only focus on the encoding characteristics of syntax elements in entropy coding and lack an understanding of the video content. Consequently, a large amount of unnecessary ...

Widespread efforts to subvert access to strong cryptography has renewed interest in steganography, the practice of embedding sensitive messages in mundane cover messages. Recent efforts at provably secure steganography have focused on text-based ...

Quantization index modulation (QIM) based VoIP steganography can conceal secret information in VoIP streams. Malicious users could use this technology to conduct illegal activities, threatening network and public security. Hence, practical steganalysis ...

Traditional video steganography methods are based on modifying the covert space for embedding, whereas we propose an innovative approach that embeds secret message within semantic feature for steganography during the video editing process. Although ...

Distrust in voting is not a rare phenomenon even in developed countries. Electronic voting (e-voting), however, appeared as an alternative, but is still not practiced on a large scale. This is due to the fact that despite the huge number of ...

Neural Radiance Field (NeRF) has been proposed as an innovative advancement in 3D reconstruction techniques. However, little research has been conducted on the issues of information confidentiality and security to NeRF, such as steganography. ...

Natural language steganography as well as natural language watermarking have been challenging because of the complexity and lack of noise in natural language. But with the advent of LLMs like ChatGPT, controlled synthesis of written language has become ...

In recent years, malware increasingly applies steganography methods to remain undetected as long as possible. Such malware is called stegomalware. Stegomalware not only covers its tracks on the infected system, but also hides its communication with ...

An ongoing challenge in censorship circumvention is optimizing the stealthiness of communications, enabled by covert channels. Recently, a new variant called history covert channels has been proposed. Instead of modifying or mimicking legitimate data, ...

Stegomalware poses a rising threat in the security landscape as more and more malware samples use steganography to disguise their network traffic, rendering traditional detection approaches less and less useful. To detect such advanced threats, it is ...

By selecting covers in which steganographic embedding is harder to detect, the steganographer can decrease the chances of being caught by the Warden. On the other hand, sampling from the cover source with a bias is detectable on its own. In this paper, ...

Steganography describes techniques and algorithms for hiding secret information in a cover medium such as images, audio or text files. Malware that makes use of steganographic techniques, known as stegomalware, is becoming increasingly common. This paper ...

State of the art generative models of human-produced content are the focus of many recent papers that explore their use for steganographic communication. In particular, generative models of natural language text. Loosely, these works (invertibly) encode ...

Steganography refers to the practice of hiding sensitive information inside seemingly unrelated data sets. Steganography in the video is one of the best methods available for hiding data without compromising the film's appearance. For improved ...

In today’s rapidly expanding digital landscape, safeguarding sensitive data and privacy has become imperative. Traditional security measures and authentication technologies are facing increasing challenges, particularly steganography. Steganography ...

This research delves into the cybersecurity implications of neural network training in cloud-based services. Despite their recognition for solving IT problems, the resource-intensive nature of neural network training poses challenges, leading to ...

The purpose of the paper is to compare the computational complexity of the steganalytic method created by the authors in previously developed and presented by other academics to detect three steganographic algorithms, including jUniward, nsF5 and UERD, ...

Traditionally, the mission of intercepting malicious traffic between the Internet and the internal network of entities like organizations and corporations, is largely fulfilled by techniques such as deep packet inspection (DPI). However, steganography, ...

The ever-expanding cyberspace, driven by digital convergence, inadvertently broadens the attack surface. Savvy modern cybercriminals have embraced steganography as a key weapon. This paper introduces slackFS, a novel steganographic framework utilising ...