scholarly journals A Survey on Ethereum Systems Security

2020 ◽  
Vol 53 (3) ◽  
pp. 1-43 ◽  
Author(s):  
Huashan Chen ◽  
Marcus Pendleton ◽  
Laurent Njilla ◽  
Shouhuai Xu
Keyword(s):  
Systems Security

The effectiveness of web advertising, its legal regulation and the problem of information systems security

2020 ◽  
Vol 4 (3(12)) ◽  
pp. 1-15
Author(s):  
Samira Ilgarovna Proshkina ◽  
Keyword(s):  
Information Systems ◽  
Computational Models ◽  
Evolutionary Dynamics ◽  
Legal Regulation ◽  
Information Systems Security ◽  
Systematic Analysis ◽  
Web Advertising ◽  
Systems Security ◽  
Business Structures ◽  
Display Location

The work is devoted to an urgent problem — the study of the evolutionary dynamics of web advertising, its assessment and effectiveness, as well as the problem of legal support and security of information systems. The goal is a systematic analysis of web advertising in an unsafe information field, its relevance and criteria for assessing marketing efforts, minimizing risks, maximizing additional profits and image. Research hypothesis — the effectiveness of web advertising is determined by the form of advertising, place of display, location of the block, model of calculation of the advertising campaign. An approach based on the establishment of preferences, partnership between the state and business structures is emphasized. It takes into account the COVID-19 pandemic, a slowdown in the pace and features of the evolution of business companies in self-isolation. The subtasks of influence on the advertising efficiency of the site’s features and web advertising are highlighted. A comprehensive analysis of information and logical security and computational models of web advertising companies was also carried out.

ExypnoSteganos - A smarter approach to steganography

2021 ◽  
pp. 1-12
Author(s):  
Gaurav Sarraf ◽  
Anirudh Ramesh Srivatsa ◽  
MS Swetha
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Data Compression ◽  
Building Block ◽  
Communication Techniques ◽  
Systems Security ◽  
Learning Technique ◽  
Critical Problems ◽  
Sporadic Cases ◽  
Compressed Data

With the ever-rising threat to security, multiple industries are always in search of safer communication techniques both in rest and transit. Multiple security institutions agree that any systems security can be modeled around three major concepts: Confidentiality, Availability, and Integrity. We try to reduce the holes in these concepts by developing a Deep Learning based Steganography technique. In our study, we have seen, data compression has to be at the heart of any sound steganography system. In this paper, we have shown that it is possible to compress and encode data efficiently to solve critical problems of steganography. The deep learning technique, which comprises an auto-encoder with Convolutional Neural Network as its building block, not only compresses the secret file but also learns how to hide the compressed data in the cover file efficiently. The proposed techniques can encode secret files of the same size as of cover, or in some sporadic cases, even larger files can be encoded. We have also shown that the same model architecture can theoretically be applied to any file type. Finally, we show that our proposed technique surreptitiously evades all popular steganalysis techniques.

Risk identification and modeling for blockchain-enabled container shipping

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Son Nguyen ◽  
Peggy Shu-Ling Chen ◽  
Yuquan Du
Keyword(s):  
Design Methodology ◽  
Directed Acyclic Graph ◽  
Risk Identification ◽  
Container Shipping ◽  
Content Type ◽  
Acyclic Graph ◽  
Operational Risks ◽  
Systems Security ◽  
Event Risk ◽  
Potential Risks

PurposeAlthough being considered for adoption by stakeholders in container shipping, application of blockchain is hindered by different factors. This paper investigates the potential operational risks of blockchain-integrated container shipping systems as one of such barriers.Design/methodology/approachLiterature review is employed as the method of risk identification. Scientific articles, special institutional reports and publications of blockchain solution providers were included in an inclusive qualitative analysis. A directed acyclic graph (DAG) was constructed and analyzed based on network topological metrics.FindingsTwenty-eight potential risks and 47 connections were identified in three groups of initiative, transitional and sequel. The DAG analysis results reflect a relatively well-connected network of identified hazardous events (HEs), suggesting the pervasiveness of information risks and various multiple-event risk scenarios. The criticality of the connected systems' security and information accuracy are also indicated.Originality/valueThis paper indicates the changes of container shipping operational risk in the process of blockchain integration by using updated data. It creates awareness of the emerging risks, provides their insights and establishes the basis for further research.

scholarly journals Protection Motivation Theory in Information Systems Security Research

2021 ◽  
Vol 52 (2) ◽  
pp. 25-67
Author(s):  
Steffi Haag ◽  
Mikko Siponen ◽  
Fufan Liu
Keyword(s):  
Information Systems ◽  
Protection Motivation Theory ◽  
Protection Motivation ◽  
Security Threats ◽  
Motivation Theory ◽  
Road Map ◽  
Systems Security ◽  
Security Research ◽  
Is Security ◽  
New Research

Protection motivation theory (PMT) is one of the most commonly used theories to examine information security behaviors. Our systematic review of the application of PMT in information systems (IS) security and the comparison with its application for decades in psychology identified five categories of important issues that have not yet been examined in IS security research. Discussing these issues in terms of why they are relevant and important for IS security, and to what extent IS research has not considered them, offers new research opportunities associated with the study of PMT and IS security threats. We suggest how future studies can approach each of the open issues to provide a new road map for quantitative and qualitative IS scholars.

scholarly journals Secure Encapsulation Schemes Using Key Recovery System in IoMT Environments

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3474
Author(s):  
Taehoon Kim ◽  
Wonbin Kim ◽  
Daehee Seo ◽  
Imyeong Lee
Keyword(s):  
Internet Of Things ◽  
Diagnosis And Treatment ◽  
Key Recovery ◽  
Collusion Attacks ◽  
Malicious User ◽  
Systems Security ◽  
Recovery System ◽  
Multi Agent ◽  
Internet Of Medical Things ◽  
Gain Access

Recently, as Internet of Things systems have been introduced to facilitate diagnosis and treatment in healthcare and medical environments, there are many issues concerning threats to these systems’ security. For instance, if a key used for encryption is lost or corrupted, then ciphertexts produced with this key cannot be decrypted any more. Hence, this paper presents two schemes for key recovery systems that can recover the lost or the corrupted keys of an Internet of Medical Things. In our proposal, when the key used for the ciphertext is needed, this key is obtained from a Key Recovery Field present in the cyphertext. Thus, the recovered key will allow decrypting the ciphertext. However, there are threats to this proposal, including the case of the Key Recovery Field being forged or altered by a malicious user and the possibility of collusion among participating entities (Medical Institution, Key Recovery Auditor, and Key Recovery Center) which can interpret the Key Recovery Field and abuse their authority to gain access to the data. To prevent these threats, two schemes are proposed. The first one enhances the security of a multi-agent key recovery system by providing the Key Recovery Field with efficient integrity and non-repudiation functions, and the second one provides a proxy re-encryption function resistant to collusion attacks against the key recovery system.

Sign in / Sign up

Export Citation Format

Share Document