scholarly journals Blockchain Based Aadhaar Security

2018 ◽  
Vol 7 (4.6) ◽  
pp. 398
Author(s):  
Sankaranarayanan P.J ◽  
Geogen George
Keyword(s):  
Database Management ◽  
Security And Privacy ◽  
Light Weight ◽  
Smart Contracts ◽  
Efficiency Optimization ◽  
Iot Devices

A blockchain is a decentralized, disseminated and digital ledger that can’t be altered retroactively without modifying every single blocks and the consensus of the network. Blockchain can be used in smart contracts, Banks, IoT devices, Database management, etc., Due to recent times flaws and leakage of Aadhaar information (Aadhaar which is the largest government databases of the Indian citizens) in Internet the security and privacy of Aadhaar became questionable. In order to ensure the security of Aadhaar, Blockchain has the potential to overcome security and privacy challenges in Aadhaar. In this project we are going to create a Blockchain for Aadhaar database and implement light weight algorithm for efficiency, optimization and scalability along with the Blockchain securing algorithm. 

scholarly journals Lightweight Security Architecture for Iot Device Communication

2019 ◽  
Vol 9 (2) ◽  
pp. 2980-2983
Keyword(s):  
Time Complexity ◽  
Secure Communication ◽  
Human Life ◽  
Energy Resources ◽  
Security And Privacy ◽  
Security Architecture ◽  
Light Weight ◽  
Cryptographic Algorithm ◽  
Cryptographic Algorithms ◽  
Iot Devices

Internet of Things (IoT) becomes part of our daily life. IoT has greatly uplifted the human life and has touched many aspect in our life style. IoT devices are sophisticated lowend device having limited computational and energy resources. Most of the cryptographic algorithms are based on complex mathematical calculation which is not feasible to be computed on IoT devices. Hence presently IoT devices lack strong security features. Security and privacy are becoming the real concern for IoT devices. In this paper we are exploring the various cryptographic algorithm which can be used for IoT device authentication and secure communication. The overall system is designed considering the light weight factor, scalability, time complexity and ease of implementation

scholarly journals Editorial for special issue on ”security and privacy protection in the era of IoT devices”

2021 ◽  
Vol 7 (2) ◽  
pp. 245-246
Author(s):  
Weizhi Meng ◽  
Daniel Xiapu Luo ◽  
Chunhua Su ◽  
Debiao He ◽  
Marios Anagnostopoulos ◽  
...  
Keyword(s):  
Privacy Protection ◽  
Security And Privacy ◽  
Special Issue ◽  
Iot Devices

Trade or Trick?

2021 ◽  
Vol 5 (3) ◽  
pp. 1-26
Author(s):  
Pengcheng Xia ◽  
Haoyu Wang ◽  
Bingyu Gao ◽  
Weihang Su ◽  
Zhou Yu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Security And Privacy ◽  
Smart Contracts ◽  
Early Stages ◽  
Asset Trading ◽  
Digital Asset ◽  
Guilt By Association ◽  
Privacy Issues ◽  
Digital Assets

The prosperity of the cryptocurrency ecosystem drives the need for digital asset trading platforms. Beyond centralized exchanges (CEXs), decentralized exchanges (DEXs) are introduced to allow users to trade cryptocurrency without transferring the custody of their digital assets to the middlemen, thus eliminating the security and privacy issues of traditional CEX. Uniswap, as the most prominent cryptocurrency DEX, is continuing to attract scammers, with fraudulent cryptocurrencies flooding in the ecosystem. In this paper, we take the first step to detect and characterize scam tokens on Uniswap. We first collect all the transactions related to Uniswap V2 exchange and investigate the landscape of cryptocurrency trading on Uniswap from different perspectives. Then, we propose an accurate approach for flagging scam tokens on Uniswap based on a guilt-by-association heuristic and a machine-learning powered technique. We have identified over 10K scam tokens listed on Uniswap, which suggests that roughly 50% of the tokens listed on Uniswap are scam tokens. All the scam tokens and liquidity pools are created specialized for the "rug pull" scams, and some scam tokens have embedded tricks and backdoors in the smart contracts. We further observe that thousands of collusion addresses help carry out the scams in league with the scam token/pool creators. The scammers have gained a profit of at least $16 million from 39,762 potential victims. Our observations in this paper suggest the urgency to identify and stop scams in the decentralized finance ecosystem, and our approach can act as a whistleblower that identifies scam tokens at their early stages.

Analysis of Vulnerabilities in IoT and Its Solutions

2021 ◽  
pp. 157-177
Author(s):  
Puspanjali Mallik
Keyword(s):  
Security And Privacy ◽  
Heterogeneous Structure ◽  
Privacy Concern ◽  
Security Vulnerabilities ◽  
Smart Vehicles ◽  
Security Issues ◽  
Smart Healthcare ◽  
Wide Range ◽  
Main Motive ◽  
Iot Devices

The internet of things (IoT) fulfils abundant demands of present society by facilitating the services of cutting-edge technology in terms of smart home, smart healthcare, smart city, smart vehicles, and many more, which enables present day objects in our environment to have network communication and the capability to exchange data. These wide range of applications are collected, computed, and provided by thousands of IoT elements placed in open spaces. The highly interconnected heterogeneous structure faces new types of challenges from a security and privacy concern. Previously, security platforms were not so capable of handling these complex platforms due to different communication stacks and protocols. It seems to be of the utmost importance to keep concern about security issues relating to several attacks and vulnerabilities. The main motive of this chapter is to analyze the broad overview of security vulnerabilities and its counteractions. Generally, it discusses the major security techniques and protocols adopted by the IoT and analyzes the attacks against IoT devices.

IoT in Healthcare

2020 ◽  
pp. 1-22
Author(s):  
V. Jeevika Tharini ◽  
S. Vijayarani
Keyword(s):  
Health Sector ◽  
Information Privacy ◽  
Security And Privacy ◽  
Healthcare Industry ◽  
Security Attacks ◽  
Privacy And Security ◽  
Privacy Concerns ◽  
Security Issues ◽  
Iot Devices ◽  
Individual Information

One of the best-known features of IoT is automation. Because of this, IoT is a much-needed field for many applications, namely emergency and healthcare domains. IoT has made many revolutionary changes in the healthcare industry. IoT paves the way to numerous advancements for healthcare. The possibilities of IoT have reached their peak in the commercial industry and health sector. In recent years, serious concerns have been raised over the control and access of one's individual information. Privacy and security of the IoT devices can be compromised by intruders. Apart from the numerous benefits of IoTs, there are several security and privacy concerns to consider. A brief overview of different kinds of security attacks, solution for the attacks, privacy and security issues are discussed in this chapter.

scholarly journals Cryptographic Keys Generating and Renewing System for IoT Network Nodes—A Concept

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 5012
Author(s):  
Janusz Furtak
Keyword(s):  
Data Exchange ◽  
Security And Privacy ◽  
Critical Element ◽  
Certification Authority ◽  
Trusted Platform Module ◽  
Network Nodes ◽  
Cryptographic Keys ◽  
Iot Devices ◽  
System Nodes ◽  
Trusted Platform

Designers and users of the Internet of Things (IoT) are devoting more and more attention to the issues of security and privacy as well as the integration of data coming from various areas. A critical element of cooperation is building mutual trust and secure data exchange. Because IoT devices usually have small memory resources, limited computing power, and limited energy resources, it is often impossible to effectively use a well-known solution based on the Certification Authority. This article describes the concept of the system for a cryptographic Key Generating and Renewing system (KGR). The concept of the solution is based on the use of the hardware Trusted Platform Module (TPM) v2.0 to support the procedures of creating trust structures, generating keys, protecting stored data, and securing data exchange between system nodes. The main tasks of the system are the secure distribution of a new symmetric key and renewal of an expired key for data exchange parties. The KGR system is especially designed for clusters of the IoT nodes but can also be used by other systems. A service based on the Message Queuing Telemetry Transport (MQTT) protocol will be used to exchange data between nodes of the KGR system.

scholarly journals Towards Secure and Privacy-Preserving IoT Enabled Smart Home: Architecture and Experimental Study

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6131
Author(s):  
Mamun Abu-Tair ◽  
Soufiene Djahel ◽  
Philip Perry ◽  
Bryan Scotney ◽  
Unsub Zia ◽  
...  
Keyword(s):  
Experimental Study ◽  
Smart Home ◽  
Privacy Preservation ◽  
Smart Cities ◽  
Security And Privacy ◽  
Test Cases ◽  
Security Threats ◽  
Hardware Implementations ◽  
Cryptographic Algorithms ◽  
Iot Devices

Internet of Things (IoT) technology is increasingly pervasive in all aspects of our life and its usage is anticipated to significantly increase in future Smart Cities to support their myriad of revolutionary applications. This paper introduces a new architecture that can support several IoT-enabled smart home use cases, with a specified level of security and privacy preservation. The security threats that may target such an architecture are highlighted along with the cryptographic algorithms that can prevent them. An experimental study is performed to provide more insights about the suitability of several lightweight cryptographic algorithms for use in securing the constrained IoT devices used in the proposed architecture. The obtained results showed that many modern lightweight symmetric cryptography algorithms, as CLEFIA and TRIVIUM, are optimized for hardware implementations and can consume up to 10 times more energy than the legacy techniques when they are implemented in software. Moreover, the experiments results highlight that CLEFIA significantly outperforms TRIVIUM under all of the investigated test cases, and the latter performs 100 times worse than the legacy cryptographic algorithms tested.

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