Code analysis of lightweight encryption algorithms using in RFID systems to improve cipher performance

Alizadeh, Mojtaba; Shayan, Jafar; Zamani, Mazdak; Khodadadi, Touraj

doi:10.1109/icos.2012.6417641

Cited by 7 publications

(6 citation statements)

References 17 publications

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“…Crypto backdoors happen when companies use encryption algorithms with inherent vulnerabilities on devices. Hackers can sniff such encryption algorithms like Heartbleed 37,56,58,74 System backdoor is a method of bypassing authentication by which hackers develop applications and spread on the Internet for spying purposes, for example, Trojan malware like NJRAT is used for spying 75 …”

Section: Defining Backdoormentioning

confidence: 99%

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

Hashemi

Zarei

2020

Trans Emerging Tel Tech

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Internet of Things (IoT) technology is one of the successful and interesting products of ubiquitous wireless networks that beneficiate human life with the make use of smart devices. Many companies have a significant plan to develop and utilize the IoT benefits and futures. Context‐aware computing applications are extensively used anywhere and anytime but they may violate or abuse human privacy. For example, if an IoT healthcare resource like a pacemaker acts as a backdoor on a human body, human life will be in danger. Moreover, targeting the privacy of IoT users is much more catastrophic compared with targeting network security as well as network denial of service. In this article, we review the security vulnerabilities and prerequisite of the IoT resource management by pointing out to the IoT architecture in terms of the principal abstraction layer and summarize the corresponding IoT security terms. Next, we define IoT penetration testing, IoT backdoor types, backdoor severity, backdoor mechanism, and propose the corresponding backdoors detection techniques. Finally, we review the reported IoT backdoors and investigate the limitation of backdoors detection and highlight future directions.

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Section: Defining Backdoormentioning

confidence: 99%

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

Hashemi

Zarei

2020

Trans Emerging Tel Tech

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“…LWC has the provision of long range transferring of encrypted data, robustness and high level of security. It is enriched with features such as ultra high speed transmission, minimal power consumption, threat prevention, green networking and many more [16] [17] [18].…”

Section: Security In Iot Environmentmentioning

confidence: 99%

“…In final stage architecture is implemented for proposed protocol. Proposed work was analyzed using five different types of word length (8,16,32,64 or 96 bits) with different number of gates for bitwise operations. The main characteristic of this protocol is that for tag identification no exhaustive search is required by reader in the back end database.…”

Section: Pedro Peris Lopez Et Al (2006)mentioning

confidence: 99%

Lightweight Security Protocols for Internet of Things: A Review

Rani¹

2019

IJATCSE

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Smart devices and IoT applications have been widely used in many fields of social living, social production, home and industrial automation which have made people's life efficient and convenient. But in recent years, ubiquitous deployment of some tools and technologies has raised several concerns related to the privacy and security in IoT enabled smart environment. The present paper presents a range of various existing as well as proposed lightweight security protocols. Security protocols are designed to make secure communication within IoT enabled environment with less computation and storage cost. Lightweight protocols are characterized by relatively small overhead. The paper also presents a comparative study of various lightweight security protocols for IoT, proposed by many researchers in recent years. Lightweight cryptography algorithms used for designing lightweight security protocols have also been explored in present paper.

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“…Finally, in Section 6, the content of this paper is reviewed and the conclusion is presented. In this paper, the authors tried to make the structure clear as their previous published papers [36][37][38][39][40][41][42][43][44].…”

Section: Paper Organizationmentioning

confidence: 99%

Secure OpenID Authentication Model by Using Trusted Computing

Ghazizadeh

Dolatabadi

Khaleghparast

et al. 2014

Abstract and Applied Analysis

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The growth of Internet online services has been very quick in recent years. Each online service requires Internet users to create a new account to use the service. The problem can be seen when each user usually needs more than one service and, consequently, has numerous accounts. These numerous accounts have to be managed in a secure and simple way to be protected against identity theft. Single sign-on (SSO) and OpenID have been used to decrease the complexity of managing numerous accounts required in the Internet identity environment. Trusted Platform Module (TPM) and Trust Multitenancy are great trusted computing-based technologies to solve security concerns in the Internet identity environment. Since trust is one of the pillars of security in the cloud, this paper analyzes the existing cloud identity techniques in order to investigate their strengths and weaknesses. This paper proposes a model in which One Time Password (OTP), TPM, and OpenID are used to provide a solution against phishing as a common identity theft in cloud environment.

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Code analysis of lightweight encryption algorithms using in RFID systems to improve cipher performance

Cited by 7 publications

References 17 publications

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

Internet of Things backdoors: Resource management issues, security challenges, and detection methods

Lightweight Security Protocols for Internet of Things: A Review

Secure OpenID Authentication Model by Using Trusted Computing

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