scholarly journals Disbursal of Text Steganography in the Space of Double-Secure Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yahya Khan ◽  
Ali Algarni ◽  
Aisha Fayomi ◽  
Abdullah M. Almarashi
Keyword(s):  
Sensitive Information ◽  
Case Method ◽  
Algorithm Optimization ◽  
Compression Method ◽  
Security Issue ◽  
Sensitive Data ◽  
Hiding Capacity ◽  
Text Steganography ◽  
Shape Encoding ◽  
The One

Hackers reveal sensitive information from encrypted conversations as the globe has become one community. As a result, steganography and cryptography are used together to safeguard sensitive data more effectively than previous approaches and newly developed algorithms. A double-secure algorithm for text steganography (DSTS) is the safest approach compared to the paragraph hiding method (PHM) and capital alphabet shape encoding (CASE) method. In this context, the paragraph hiding method uses ASCII coding, which is not a standard method, and the CASE method has a security issue that if someone understands its applicability, it can be easily attacked. DSTS algorithm overcomes its limitations by using UTF-16 coding and enhances the security of CASE with a one-time pad (OTP). The one-time pad is a theoretically unbreakable cryptographic method. Still, it is not feasible for long messages, however, it is usable for short messages such as a password or intelligence agency’s more secure messages. DSTS degrades the average hiding capacity in a PHM from 2.06% to 1% due to UTF-16 coding. Using the UTF-8 method, the authors have improved MDSTS and the CMPHM by 6.49% and 7.76% hiding capacity, which outperforms in existing procedures; in the CMPHM, there is one reason for the improvement in hiding capacity is using the LZW compression method. CMHPM algorithm optimization standard deviation is less than that of the HPM, DSTS, and MDSTS, ultimately increasing speed.

scholarly journals Privacy Preservation of Sensitive Data using Polymorphic Encryption and Cryptographic Techniques

2019 ◽  
Vol 8 (12S) ◽  
pp. 433-440
Keyword(s):  
Privacy Preservation ◽  
Narrative Approach ◽  
Data Sets ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Health Records ◽  
Secure Storage ◽  
Other Information ◽  
The One ◽  
Cryptographic Techniques

The compilation and analysis of health records on a big data scale is becoming an essential approach to understand problematical diseases. In order to gain new insights it is important that researchers can cooperate: they will have to access each other's data and contribute to the data sets. In many cases, such health records involves privacy sensitive data about patients. Patients should be cautious to count on preservation of their privacy and on secure storage of their data. Polymorphic encryption and Pseudonymisation, form a narrative approach for the management of sensitive information, especially in health care. The conventional encryptionsystem is rather inflexible: once scrambled, just one key can be utilized to unscramble the information. This inflexibility is turning into an each more noteworthy issue with regards to huge information examination, where various gatherings who wish to research some portion of an encoded informational index all need the one key for decoding. Polymorphic encryption is another cryptographic strategy that tackles these issues. Together with the related procedure of polymorphic pseudonymisation new security and protection assurances can be given which are fundamental in zones, for example, (customized) wellbeing area, medicinal information accumulation by means of self-estimation applications, and all the more by and large in protection inviting character the board and information examination.Encryption, pseudonymization and anonymization are some of the importanttechniques that facilitate the usders on security of sensitive data, and ensure compliance both from an Data Regulation act and any other information security act like Health Insurance Portability and Accountability Act - (HIPAA) regulations.

Security Test by using F T M and Data Allocation Strategies on Leakage Detection

2005 ◽  
Vol 4 (2) ◽  
pp. 393-400
Author(s):  
Pallavali Radha ◽  
G. Sireesha
Keyword(s):  
Third Party ◽  
Distributed Data ◽  
Data Allocation ◽  
Security Testing ◽  
Sensitive Data ◽  
Sample Data ◽  
The One ◽  
Security Test ◽  
Data Request ◽  
Allocation Strategies

The data distributors work is to give sensitive data to a set of presumably trusted third party agents.The data i.e., sent to these third parties are available on the unauthorized places like web and or some ones systems, due to data leakage. The distributor must know the way the data was leaked from one or more agents instead of as opposed to having been independently gathered by other means. Our new proposal on data allocation strategies will improve the probability of identifying leakages along with Security attacks typically result from unintended behaviors or invalid inputs.  Due to too many invalid inputs in the real world programs is labor intensive about security testing.The most desirable thing is to automate or partially automate security-testing process. In this paper we represented Predicate/ Transition nets approach for security tests automated generationby using formal threat models to detect the agents using allocation strategies without modifying the original data.The guilty agent is the one who leaks the distributed data. To detect guilty agents more effectively the idea is to distribute the data intelligently to agents based on sample data request and explicit data request. The fake object implementation algorithms will improve the distributor chance of detecting guilty agents.

scholarly journals A Comparative Analysis of Arabic Text Steganography

2021 ◽  
Vol 11 (15) ◽  
pp. 6851
Author(s):  
Reema Thabit ◽  
Nur Izura Udzir ◽  
Sharifah Md Yasin ◽  
Aziah Asmawi ◽  
Nuur Alifah Roslan ◽  
...  
Keyword(s):  
Evaluation Criteria ◽  
Arabic Language ◽  
Text Messages ◽  
Secret Message ◽  
Sensitive Information ◽  
Arabic Text ◽  
Ideal Object ◽  
Internet Users ◽  
Text Steganography ◽  
Text Content

Protecting sensitive information transmitted via public channels is a significant issue faced by governments, militaries, organizations, and individuals. Steganography protects the secret information by concealing it in a transferred object such as video, audio, image, text, network, or DNA. As text uses low bandwidth, it is commonly used by Internet users in their daily activities, resulting a vast amount of text messages sent daily as social media posts and documents. Accordingly, text is the ideal object to be used in steganography, since hiding a secret message in a text makes it difficult for the attacker to detect the hidden message among the massive text content on the Internet. Language’s characteristics are utilized in text steganography. Despite the richness of the Arabic language in linguistic characteristics, only a few studies have been conducted in Arabic text steganography. To draw further attention to Arabic text steganography prospects, this paper reviews the classifications of these methods from its inception. For analysis, this paper presents a comprehensive study based on the key evaluation criteria (i.e., capacity, invisibility, robustness, and security). It opens new areas for further research based on the trends in this field.

scholarly journals Privacy and Security Issues in Online Social Networks

2018 ◽  
Vol 10 (12) ◽  
pp. 114 ◽  
Author(s):  
Shaukat Ali ◽  
Naveed Islam ◽  
Azhar Rauf ◽  
Ikram Din ◽  
Mohsen Guizani ◽  
...  
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Virtual Communities ◽  
Service Providers ◽  
Security And Privacy ◽  
Security Issue ◽  
Sensitive Data ◽  
Privacy And Security ◽  
Security Issues ◽  
Social Sphere

The advent of online social networks (OSN) has transformed a common passive reader into a content contributor. It has allowed users to share information and exchange opinions, and also express themselves in online virtual communities to interact with other users of similar interests. However, OSN have turned the social sphere of users into the commercial sphere. This should create a privacy and security issue for OSN users. OSN service providers collect the private and sensitive data of their customers that can be misused by data collectors, third parties, or by unauthorized users. In this paper, common security and privacy issues are explained along with recommendations to OSN users to protect themselves from these issues whenever they use social media.

scholarly journals WHAT IT TAKES TO INNOVATE: THE EXPERIENCE OF PRODUCING AN ONLINE, REAL-TIME CASE STUDY

2019 ◽  
Vol 11 (4) ◽  
Author(s):  
James Theroux
Keyword(s):  
Real Time ◽  
Teaching Methods ◽  
Recent Attempt ◽  
The Internet ◽  
Case Method ◽  
Business Courses ◽  
New Type ◽  
The One ◽  
Instantaneous Distribution

The case method can be classified as a type of experiential learning because students treat the problem in the case as if it were real and immediate. Until the Internet there was no practical way for cases to actually be real and immediate. The Internet makes possible instantaneous distribution of cases, and it makes possible their creation in real time. This article describes a recent attempt to use the Internet to bring business reality to business courses, and to facilitate communication among instructors, students, and the case company. It explores the challenges and difficulties involved in producing a new type of case study, and it assesses the feasibility of doing so on a regular basis. The goal of the author is to stimulate a dialog about how the Internet can be used to move forward all of our teaching methods, but especially the one that is prominent in schools of business: the case method.

scholarly journals Accurate Filtering of Privacy-Sensitive Information in Raw Genomic Data

2018 ◽  
Author(s):  
Jérémie Decouchant ◽  
Maria Fernandes ◽  
Marcus Völp ◽  
Francisco M Couto ◽  
Paulo Esteves-Veríssimo
Keyword(s):  
High Performance ◽  
Genomic Data ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Variable Regions ◽  
Fine Grained ◽  
Sequencing Errors ◽  
Sequencing Technologies ◽  
Human Genomes ◽  
Long Reads

AbstractSequencing thousands of human genomes has enabled breakthroughs in many areas, among them precision medicine, the study of rare diseases, and forensics. However, mass collection of such sensitive data entails enormous risks if not protected to the highest standards. In this article, we follow the position and argue that post-alignment privacy is not enough and that data should be automatically protected as early as possible in the genomics workflow, ideally immediately after the data is produced. We show that a previous approach for filtering short reads cannot extend to long reads and present a novel filtering approach that classifies raw genomic data (i.e., whose location and content is not yet determined) into privacy-sensitive (i.e., more affected by a successful privacy attack) and non-privacy-sensitive information. Such a classification allows the fine-grained and automated adjustment of protective measures to mitigate the possible consequences of exposure, in particular when relying on public clouds. We present the first filter that can be indistinctly applied to reads of any length, i.e., making it usable with any recent or future sequencing technologies. The filter is accurate, in the sense that it detects all known sensitive nucleotides except those located in highly variable regions (less than 10 nucleotides remain undetected per genome instead of 100,000 in previous works). It has far less false positives than previously known methods (10% instead of 60%) and can detect sensitive nucleotides despite sequencing errors (86% detected instead of 56% with 2% of mutations). Finally, practical experiments demonstrate high performance, both in terms of throughput and memory consumption.

scholarly journals Enhancing GDPR compliance through data sensitivity and data hiding tools

2021 ◽  
Vol 27 (7) ◽  
pp. 650-666
Author(s):  
Xabier Larrucea ◽  
Micha Moffie ◽  
Dan Mor
Keyword(s):  
Health Services ◽  
Data Hiding ◽  
Industry 4.0 ◽  
Health Sector ◽  
Healthcare Sector ◽  
Sensitive Information ◽  
Sensitive Data ◽  
Architectural Model ◽  
Data Sensitivity

Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.

Privacy Compliance Requirements in Workflow Environments

2015 ◽  
pp. 157-177
Author(s):  
Maria N. Koukovini ◽  
Eugenia I. Papagiannakopoulou ◽  
Georgios V. Lioudakis ◽  
Nikolaos L. Dellas ◽  
Dimitra I. Kaklamani ◽  
...  
Keyword(s):  
Information Systems ◽  
Privacy Protection ◽  
Workflow Management ◽  
The Other ◽  
Privacy By Design ◽  
Workflow Management Systems ◽  
Sensitive Data ◽  
Protection Measures ◽  
Compliance Requirements ◽  
The One

Workflow management systems are used to run day-to-day applications in numerous domains, often including exchange and processing of sensitive data. Their native “leakage-proneness,” being the consequence of their distributed and collaborative nature, calls for sophisticated mechanisms able to guarantee proper enforcement of the necessary privacy protection measures. Motivated by the principles of Privacy by Design and its potential for workflow environments, this chapter investigates the associated issues, challenges, and requirements. With the legal and regulatory provisions regarding privacy in information systems as a baseline, the chapter elaborates on the challenges and derived requirements in the context of workflow environments, taking into account the particular needs and implications of the latter. Further, it highlights important aspects that need to be considered regarding, on the one hand, the incorporation of privacy-enhancing features in the workflow models themselves and, on the other, the evaluation of the latter against privacy provisions.

Secret Communication Techniques

2019 ◽  
pp. 1-19
Keyword(s):  
Digital Media ◽  
Quality Parameters ◽  
Image Steganography ◽  
Hiding Capacity ◽  
Video Steganography ◽  
Communication Techniques ◽  
Secret Communication ◽  
Text Steganography ◽  
Distortion Measure

This chapter introduces the reader to cryptography, steganography, watermarking, and quality parameters of image steganography techniques. Cryptography is a technique for secret communication. Steganography is a technique for secret and unnoticeable communication. The watermarking techniques hide watermarks inside the digital media. There are four types of steganography techniques: (1) image steganography, (2) audio steganography, (3) video steganography, and (4) text steganography. The quality of image steganographic algorithms can be measured by three parameters like (1) hiding capacity, (2) distortion measure, and (3) security check.

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