Password Management: How Secure Is Your Login Process?

Hatzivasilis, George

doi:10.1007/978-3-030-62433-0_10

Cited by 5 publications

(3 citation statements)

References 22 publications

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“…[160]. Here, privacy violations may reflect more traditional conceptualizations of privacy attacks or security violations [69,90] and privacy elements beyond what may be protected by regulations or under the traditional purview of a privacy officer [119,159]. For instance, privacy violence may arise from algorithmic systems making predictive inference beyond what users openly disclose [196] or when data collected and algorithmic inferences made about people in one context is applied to another without the person's knowledge or consent through big data flows [119], even after those datasets or systems have been deprecated [50,72].…”

Section: Privacy Violationmentioning

confidence: 99%

Identifying Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

Shelby¹,

Rismani²,

Henne³

et al. 2022

Preprint

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Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build. It also supports the prospect of incorporating controls to help minimize harms that emerge from the interplay of technologies and social and cultural dynamics. A growing body of scholarship has identified a wide range of harms across different algorithmic technologies. However, computing research and practitioners lack a high level and synthesized overview of harms from algorithmic systems arising at the micro-, meso-, and macro-levels of society. We present an applied taxonomy of sociotechnical harms to support more systematic surfacing of potential harms in algorithmic systems. Based on a scoping review of computing research (n=172), we identified five major themes related to sociotechnical harms -representational, allocative, quality-of-service, interpersonal harms, and social system/societal harms -and sub-themes. We describe these categories and conclude with a discussion of challenges and opportunities for future research.

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Section: Privacy Violationmentioning

confidence: 99%

Identifying Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

Shelby¹,

Rismani²,

Henne³

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…Service providers and applications also needs to keep their security in check. It is also known that several vulnerabilities are found in the service providers [7].…”

Section: Introductionmentioning

confidence: 99%

Parola Saklama Tekniklerinin Evrimi ve Güncel En İyi Uygulamaları

KOCATEKİN

2023

Eskişehir Türk Dünyası Uygulama Ve Araştırma Merkezi Bilişim Dergisi

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Passwords have historically been pivotal for access control and authentication, yet their security remains a recurring concern in today’s digital world. As evidenced by high-profile data breaches, secure password storage has always been paramount, but often not achieved. While users grapple with the creation of strong, memorable passwords, the burden also falls on service providers to store these passwords securely. Even though alternative authentication mechanisms have emerged, password-based authentication remains pervasive. Surprisingly, studies highlight that developers frequently exhibit misconceptions or negligence towards password storage security. This paper traces the progression of password storage methods by explaining four password hashing methods. By informing of four modern password storage systems, this work seeks to bridge the knowledge gap, advocating for better practices and illuminating the significance of prioritizing security alongside functionality.

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“…It has been created by Colin Percival [13]. It has been employed for many services and applications due to its protection ability [14,15]. It has also been employed as a proof-of-work algorithm in the blockchain implementations [16].…”

Section: Introductionmentioning

confidence: 99%

Efficient Architectures for Full Hardware Scrypt-Based Block Hashing System

Khai

Tran

2022

Electronics

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The password-based key derivation function Scrypt has been employed for many services and applications due to its protection ability. It has also been employed as a proof-of-work algorithm in blockchain implementations. Although this cryptographic hash function provides very high security, the processing speed and power consumption to generate a hashed block for the blockchain network are low-performance. In this paper, a high-speed and low-power hardware architecture of the Scrypt function is proposed to generate blocks for the Scrypt-based blockchain network. This architecture minimizes the number of main computational blocks to reduce the power consumption of the system. In addition, the proposed sharing resources and pipelined architectures make the calculation speed increase significantly while the hardware cost is reduced by half compared to the parallel non-pipelined architecture. The full hardware system is designed and implemented on Xilinx Virtex-7 and Aveo U280 FPGA platforms. The hash rate of the proposed system reaches 229.1 kHash/s. Its hash rate, hardware and energy efficiencies are much higher than those of the other works implemented on FPGA and GPU hardware platforms. The proposed hardware architecture is also successfully implemented in an ASIC design using ROHM 180 nm CMOS technology.

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Password Management: How Secure Is Your Login Process?

Cited by 5 publications

References 22 publications

Identifying Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

Identifying Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction

Parola Saklama Tekniklerinin Evrimi ve Güncel En İyi Uygulamaları

Efficient Architectures for Full Hardware Scrypt-Based Block Hashing System

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