A framework of blockchain-based secure and privacy-preserving E-government system

Abstract

Electronic government (e-government) uses information and communication technologies to deliver public services to individuals and organisations effectively, efficiently and transparently. E-government is one of the most complex systems which needs to be distributed, secured and privacy-preserved, and the failure of these can be very costly both economically and socially. Most of the existing e-government systems such as websites and electronic identity management systems (eIDs) are centralized at duplicated servers and databases. A centralized management and validation system may suffer from a single point of failure and make the system a target to cyber attacks such as malware, denial of service attacks (DoS), and distributed denial of service attacks (DDoS). The blockchain technology enables the implementation of highly secure and privacy-preserving decentralized systems where transactions are not under the control of any third party organizations. Using the blockchain technology, exiting data and new data are stored in a sealed compartment of blocks (i.e., ledger) distributed across the network in a verifiable and immutable way. Information security and privacy are enhanced by the blockchain technology in which data are encrypted and distributed across the entire network. This paper proposes a framework of a decentralized e-government peer-to-peer (p2p) system using the blockchain technology, which can ensure both information security and privacy while simultaneously increasing the trust of the public sectors. In addition, a prototype of the proposed system is presented, with the support of a theoretical and qualitative analysis of the security and privacy implications of such system.

Cyberthreat Hunting - Part 1: Triaging Ransomware using Fuzzy Hashing, Import Hashing and YARA Rules

“…Moreover, this sparse fuzzy rule base can be updated dynamically by employing dynamic fuzzy rule interpolation (D-FRI) method [36], [37], [38], [39], [40], [41], [42]. After further enhancing and automating this fuzzy analysis approach, it can be employed in different security frameworks [43].…”

Cyberthreat Hunting - Part 2: Tracking Ransomware Threat Actors using Fuzzy Hashing and Fuzzy C-Means Clustering

“…Moreover, this sparse fuzzy rule base can be updated dynamically by employing dynamic fuzzy rule interpolation (D-FRI) method [36], [37], [38], [39], [40], [41], [42]. After further enhancing and automating this fuzzy analysis approach, it can be tested in different security frameworks [43].…”

Business virtual system in the context of e‐governance: Investigation of secure access to information resources

“…Another point of view is presented in Yang, Elisa, and Eliot (), where e‐government is determined as “an indispensable part of a Smart City,” and current deployment strategies and technological solutions of e‐government are investigated in terms of security and privacy in a smart city environment. The result is proposing “a decentralized framework based upon blockchain and artificial intelligence to provide a secure and privacy‐preserving infrastructure.” A similar problem is discussed in Elisa, Yang, Chao, and Cao (), where a framework of a decentralized e‐government peer‐to‐peer system using blockchain technology is proposed. The goal of this framework is to “ensure both information security and privacy while simultaneously increasing the trust of the public sectors.”…”