Privacy Concerns With Digital Forensics

2019 ◽  
pp. 1464-1481
Author(s):  
Neil C. Rowe
Keyword(s):  
Digital Forensics ◽  
Digital Data ◽  
Commercial Software ◽  
Privacy Concerns ◽  
Digital Space ◽  
Digital Devices ◽  
Privacy Laws ◽  
Private Spaces ◽  
Detailed Search

Digital forensics is a rapidly growing technology for examining the contents of computers and digital devices. It raises many challenges to conventional notions of privacy because it involves a considerably more detailed search of digital data than is possible with other techniques, and it can be done surreptitiously. However, there are analogies to homes and the rights of individuals to be free from unwarranted searches and seizures in their private spaces. Even though commercial software and data comprises most of digital space, there are clearly enclaves of data that deserves to be kept private. We discuss the techniques of digital forensics and investigative targets. We identify key challenges to privacy, and outline both the legal protections and the technical protections available. Unfortunately, privacy laws are ineffective in most countries, and users need to take their own measures to protect themselves.

Privacy Concerns with Digital Forensics

2016 ◽  
pp. 145-162
Author(s):  
Neil C. Rowe
Keyword(s):  
Digital Forensics ◽  
Digital Data ◽  
Commercial Software ◽  
Privacy Concerns ◽  
Digital Space ◽  
Digital Devices ◽  
Privacy Laws ◽  
Private Spaces ◽  
Detailed Search

Digital forensics is a rapidly growing technology for examining the contents of computers and digital devices. It raises many challenges to conventional notions of privacy because it involves a considerably more detailed search of digital data than is possible with other techniques, and it can be done surreptitiously. However, there are analogies to homes and the rights of individuals to be free from unwarranted searches and seizures in their private spaces. Even though commercial software and data comprises most of digital space, there are clearly enclaves of data that deserves to be kept private. We discuss the techniques of digital forensics and investigative targets. We identify key challenges to privacy, and outline both the legal protections and the technical protections available. Unfortunately, privacy laws are ineffective in most countries, and users need to take their own measures to protect themselves.

Development and Various Critical Testing Operational Frameworks in Data Acquisition for Cyber Forensics

2020 ◽  
pp. 88-102
Author(s):  
Abhineet Anand ◽  
M. Arvindhan
Keyword(s):  
Data Acquisition ◽  
Digital Forensics ◽  
Digital Data ◽  
Court Cases ◽  
Cyber Forensics ◽  
Digital Devices ◽  
Private Lives ◽  
Or Methodology ◽  
Crime Detection ◽  
Operational Frameworks

Digital forensics is the science of preserving and analyzing digital data; this data can then be used in court cases as well as for crime detection and prevention. Digital forensics began in the 1970s and was initially used as a tool for fighting financial crime. Today, with computers and digital devices being an integral part of our professional and private lives, digital forensics are used/needed in a wide variety of disputes. Data Acquisitions is described and discuss different techniques or methodology obtain the data, facts, and figures from different resource and at a different level of the system.

scholarly journals Open Data Release and Privacy Concerns: Complexity in Mitigating Vulnerability with Controlled Perturbation

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Shah Imran Alam ◽  
Ihtiram Raza Khan ◽  
Syed Imtiyaz Hassan ◽  
Farheen Siddiqui ◽  
M. Afshar Alam ◽  
...  
Keyword(s):  
Data Quality ◽  
Open Data ◽  
Real Data ◽  
Privacy Concerns ◽  
The Past ◽  
Privacy Laws ◽  
Data Quality Assessment ◽  
Anonymized Data ◽  
Evaluation Parameters ◽  
Technology Domain

The benefits of open data were realised worldwide since the past decades, and the efforts to move more data under the license of open data intensified. There was a steep rise of open data in government repositories. In our study, we point out that privacy is one of the consistent and leading barriers among others. Strong privacy laws restrict data owners from opening the data freely. In this paper, we attempted to study the applied solutions and to the best of our knowledge, we found that anonymity-preserving algorithms did a substantial job to protect privacy in the release of the structured microdata. Such anonymity-preserving algorithms argue and compete in objectivethat not only could the released anonymized data preserve privacy but also the anonymized data preserve the required level of quality. K-anonymity algorithm was the foundation of many of its successor algorithms of all privacy-preserving algorithms. l-diversity claims to add another dimension of privacy protection. Both these algorithms used together are known to provide a good balance between privacy and quality control of the dataset as a whole entity. In this research, we have used the K-anonymity algorithm and compared the results with the addon of l-diversity. We discussed the gap and reported the benefits and loss with various combinations of K and l values, taken in combination with released data quality from an analyst’s perspective. We first used dummy fictitious data to explain the general expectations and then concluded the contrast in the findings with the real data from the food technology domain. The work contradicts the general assumptions with a specific set of evaluation parameters for data quality assessment. Additionally, it is intended to argue in favour of pushing for research contributions in the field of anonymity preservation and intensify the effort for major trends of research, considering its importance and potential to benefit people.

scholarly journals An Improved Bytewise Approximate Matching Algorithm Suitable for Files of Dissimilar Sizes

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 503
Author(s):  
Víctor Gayoso Martínez ◽  
Fernando Hernández-Álvarez ◽  
Luis Hernández Encinas
Keyword(s):  
Digital Forensics ◽  
Ad Hoc ◽  
Full Description ◽  
Matching Algorithm ◽  
Approximate Matching ◽  
Digital Devices ◽  
Signature Generation ◽  
Actual Content ◽  
Similarity Preserving ◽  
Generation Procedure

The goal of digital forensics is to recover and investigate pieces of data found on digital devices, analysing in the process their relationship with other fragments of data from the same device or from different ones. Approximate matching functions, also called similarity preserving or fuzzy hashing functions, try to achieve that goal by comparing files and determining their resemblance. In this regard, ssdeep, sdhash, and LZJD are nowadays some of the best-known functions dealing with this problem. However, even though those applications are useful and trustworthy, they also have important limitations (mainly, the inability to compare files of very different sizes in the case of ssdeep and LZJD, the excessive size of sdhash and LZJD signatures, and the occasional scarce relationship between the comparison score obtained and the actual content of the files when using the three applications). In this article, we propose a new signature generation procedure and an algorithm for comparing two files through their digital signatures. Although our design is based on ssdeep, it improves some of its limitations and satisfies the requirements that approximate matching applications should fulfil. Through a set of ad-hoc and standard tests based on the FRASH framework, it is possible to state that the proposed algorithm presents remarkable overall detection strengths and is suitable for comparing files of very different sizes. A full description of the multi-thread implementation of the algorithm is included, along with all the tests employed for comparing this proposal with ssdeep, sdhash, and LZJD.

Business-to-business referral as digital coopetition strategy

2020 ◽  
Vol 54 (6) ◽  
pp. 1181-1203
Author(s):  
Ying Zhu ◽  
Valerie Lynette Wang ◽  
Yong Jian Wang ◽  
Jim Nastos
Keyword(s):  
Physical Distance ◽  
Peer To Peer ◽  
Digital Data ◽  
Data Set ◽  
Content Type ◽  
Digital Space ◽  
Digital Network ◽  
The Impact ◽  
Business To Business ◽  
Practical Implications

Purpose Based on theories related to coopetition, the purpose of this paper is to examine the patterns of business-to-business digital referrals inscribed in businesses’ digital content. Design/methodology/approach A complete industry-wise digital data set is formed by extracting digital referrals in all the content pages. The authors outline how digital referrals are strategically used among peer businesses in the peer-to-peer digital network and in the augmented digital network, taking into consideration geographical framing and physical distance. Findings The authors reveal how geographical framing and physical distance influence peer-to-peer referral patterns in the digital space. Quite counter-intuitively, businesses are more likely to give digital referrals for peers residing in the same region, as well as for peers located in closer proximity. Further, results from the augmented digital network show that peer businesses in closer proximity exhibit greater strategic similarity in their digital referring strategy. Research limitations/implications The findings extend the understanding of business-to-business coopetition to the digital space and suggest that geographical framing and physical distance can induce reciprocated relationships between peers by offering each other digital referrals. Practical implications The findings shed light on the formation of a business-to-business digital coopetition strategy using digital referral marketing. Originality/value This study highlights the impact of digital referrals in business-to-business relationship management, especially in the digital coopetition context.

Data Handling of Digital Forensics Cloud Computing

2013 ◽  
Vol 756-759 ◽  
pp. 1739-1743
Author(s):  
Gang Zeng
Keyword(s):  
Cloud Computing ◽  
Digital Forensics ◽  
Data Handling ◽  
Digital Devices

With development of network and digital devices, traditional digital forensics tools show their drawbacks, and investigators need new forensics tools to deal with enormous digital evidences. Therefore, this paper introduces digital forensics and cloud computing, then lists the advantages of private forensics cloud computing, proposes a model of Data Handling of Digital Forensics Cloud Computing.

scholarly journals Keyword Indexing And Searching Tool (KIST): A Tool to Assist the Forensics Analysis of WhatsApp Chat

2020 ◽  
Vol 6 (1) ◽  
pp. 23
Author(s):  
Syafiqah Hanisah Shahrol Nizam ◽  
Nurul Hidayah Ab Rahman ◽  
Niken Dwi Wahyu Cahyani
Keyword(s):  
Mobile Phones ◽  
Digital Forensics ◽  
Forensic Analysis ◽  
User Testing ◽  
Analysis Software ◽  
Digital Devices ◽  
Analysis Tools ◽  
Private And Public ◽  
Public Sectors ◽  
Keyword Searching

Digital forensics is a field that concerned with finding and presenting evidence sourced from digital devices, such as computers and mobile phones. Most of the forensic analysis software is proprietary, and eventually, specialized analysis software is developed in both the private and public sectors. This paper presents an alternative of forensic analysis tools for digital forensics, which specifically to analyze evidence through keyword indexing and searching. Keyword Indexing and Searching Tool (KIST) is proposed to analyze evidence of interest from WhatsApp chat text files using keyword searching techniques and based on incident types. The tool was developed by adopting the Prototyping model as its methodology. KIST includes modules such as add, edit, remove, display the indexed files, and to add WhatsApp chat text files. Subsequently, the tool is tested using functionality testing and user testing. Functionality testing shows all key functions are working as intended, while users testing indicates the majority of respondents are agree that the tool is able to index and search keyword and display forensic analysis results.

scholarly journals Implementasi Live Forensics untuk Perbandingan Browser pada Keamanan Email

2017 ◽  
Vol 1 (3) ◽  
pp. 108
Author(s):  
Muhammad Nur Faiz ◽  
Rusydi Umar ◽  
Anton Yudhana
Keyword(s):  
Digital Forensics ◽  
Random Access ◽  
Forensic Analysis ◽  
Computer Forensics ◽  
Digital Data ◽  
Operation System ◽  
Browser Security ◽  
Software Applications ◽  
Internet Explorer ◽  
Mozilla Firefox

Digital Forensics become one popular term because Currently many violations of cyber crime. Digital techniques Computer Forensics performed or with analyze digital device, whether the device is a media Actors or as a media victim. Digital Forensic Analysis Being divided into two, traditional / dead and alive. Forensic analysis traditionally involves digital data Deposited permanent Operates in Irish, while live forensic analysis involves analysis of data Namely temporary in Random Access Memory or Deposited hearts transport equipment in the Network. Singer proposes journal Forensic analysis of life in the latest operation system windows 10. That study focused IN case several email security browsers Sales Operations manager of Google Chrome, Mozilla Firefox, and Microsoft Internet Explorer Edge. In addition, although many digital forensics type software applications not free, goal on research objectives compares browser security information so it will be more minimize abuse email.

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