An Overview and Computer Forensic Challenges in Image Steganography

Yari, Imrana Abdullahi; Zargari, Shahrzad

doi:10.1109/ithings-greencom-cpscom-smartdata.2017.60

Cited by 8 publications

(5 citation statements)

References 17 publications

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“…Table I shows the results of proposed algorithm and other tools which are used by other previous study. Tkinter framework [14] 70 % Openstego [1] 0 % Stegspy [13] 0 % Stegovirtas IV. CONCLUSIONS Steganography of information is the techniques and methods used to hide the effects of hacking or cyber-attack.…”

Section: Research Results and Discussionmentioning

confidence: 99%

“…The results indicate that these tools use a different approach to choose the Least Significant Bit in the substitution method, perhaps random, the last two numbers, or just the last number. OpenStego, which used the same procedure, was unable to recover the embedded image, traces of corruption were challenging to identify, and the method of concealment was unknown [14].…”

Section: Introductionmentioning

confidence: 99%

“…In [13], [1], and [14] the drawback is that the tools they used could not detect all the evidence and were not accurate and effective. It was difficult for the author to extract evidence more efficiently.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data

Nourah Alamri

2023

IJRITCC

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Cybercriminals are employing various techniques to conceal evidence from investigators, allowing them to avoid tracking the traces of the attack or the traces of crimes. Steganography of information was techniques and tactics used to hide the traces of a hacking or electronic attack. Steganography is one of the most severe methods of obfuscating traces to make it harder for investigators to uncover reliable evidence that can be used in court. In this research study, the problem was that the steganography tools that the authors used in previous studies in their research were not accurate in extracting all the hidden data, and their efficiency was poor. The objectives of this research are to evaluate the accuracy of extracting the hidden data by creating different scenarios using python script. Furthermore, develop a new algorithm to enhance the accuracy of extracting veiled data by using Tkinter framework. Finally, to evaluate the performance of the proposed new algorithm by comparing the proposed algorithm with different steganography tools. The proposed algorithm was able to increase the accuracy by 90% and extract the hidden data compared with different tools such as openstego stegspy and stegovirtas.

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Section: Research Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data

Nourah Alamri

2023

IJRITCC

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“…Steganography encompasses methods used to conceal confidential information within other digital media, essentially hiding it in plain sight. Some definitions characterize it as the practice of embedding one piece of information within another in a way that makes detection challenging, akin to a form of camouflage that remains unseen by unintended recipients or intruders [26]. Within the realm of information hiding techniques, steganography is regarded alongside methods like watermarks and cryptography [27].…”

Section: Stenography Techniquementioning

confidence: 99%

A New Evidence Preservation Forensics Model Using Blockchain and Stenography Techniques

AlKhanafseh,

Surakhi

2024

Preprint

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The adoption of technology and digital tools across various user groups has brought about a heightened risk of cyber-attacks targeting devices and shared data. These elevated levels of cybercrime necessitate thorough investigations to address victims’ inquiries about the nature, causes, affected data, and impacted resources of the attack. Digital forensics serves as a crucial means to answer these queries. Additionally, it enables the formulation of strategies and delineation of roles essential for fortifying future defenses against such attacks. Within digital forensics, digital evidence holds pivotal importance in the investigative process as it serves as a cornerstone in legal proceedings to identify perpetrators. Numerous research endeavors focus on devising solutions to safeguard evidence, including centralized storage centers or cloud computing. These efforts aim to create frameworks integrating diverse security levels for sharing and preserving evidence effectively. In this paper, a new framework is proposed that seeks to amalgamate novel technologies with forensic practices to address challenges in the preservation phase of digital forensics. Strategies include segmenting evidence into smaller components, leveraging steganography to support preservation, and employing blockchain technology to ensure the integrity of collected evidence.

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“…Further research was carried out by [27]. This research discusses the importance of computer forensic examiners in knowing the types of steganography tools that can be applied to the victim's computer.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework

Akbar¹,

Sunardi²,

Riadi³

2020

IJACSA

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Steganography is one of the anti-forensic techniques used by criminals to hide information in other messages which can cause problems in the investigation process and difficulties in obtaining original information evidence on the digital crime. Digital forensic analysts are required ability to find and extract the messages that have been inserted by using proper tools. The purpose of this research is to analyze the hidden digital evidence using steganography techniques. This research uses the static forensics method by applying five stages in the Generic Forensics Investigation Model framework, namely pre-process, acquisition & preservation, analysis, presentation, and postprocess as well as extracting files that have been infiltrated based on case scenarios involving digital crime. The tools used are FTK Imager, Autopsy, WinHex, Hiderman, and StegSpy. The results on the steganographic file insertion experiment of 20 files indicate that StegSpy and Hiderman are effective on the steganographic analysis of digital evidence. StegSpy can detect the presence of secret messages with 85% success rate. The extraction process using Hiderman for 18 files with containing steganographic messages had 100% successful.

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An Overview and Computer Forensic Challenges in Image Steganography

Cited by 8 publications

References 17 publications

New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data

New Algorithm to Enhance the Accuracy of Extracting Steganography Hidden Data

A New Evidence Preservation Forensics Model Using Blockchain and Stenography Techniques

Analysis of Steganographic on Digital Evidence using General Computer Forensic Investigation Model Framework

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