Parallel AES algorithm for performance improvement in data analytics security for IoT

Manikandan, Narayanan; Subha, S.

doi:10.1504/ijnvo.2018.091575

Cited by 4 publications

(5 citation statements)

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“…The researchers Chong Hee Kim and Jean-Jacques Quisquater [15] have shown the effectivity of the measures taken to protect against these types of attacks within low power consumption. A hybrid authentication system with the AES and Elliptic Curve Cryptosystem has been produced in the health-based applications from the researchers Shailja Dahiya and Manoj Bohra by slightly modified ECC system with key expansion scheme of AES [16] which produces better performance and efficiency by time (in seconds) than the existing scheme of ECC, AES. The AES algorithm has been implemented in the same health-based application by using the Copyright © 2022 MECS I.J.…”

Section: Security Through Encryptionmentioning

confidence: 99%

Dual Layer Encryption for IoT based Vehicle Systems over 5G Communication

Bin-Faisal¹,

Nandi²,

Rahman³

2022

IJITCS

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In modern communication scenario of the 5G era, the service quality is the greatest concern for the users. Also, the concept of security can’t be neglected in this case. In the IoT oriented services like vehicle and VANET systems, the security in the presentation layer of the network is required. This work is over the security mechanism of the service storage and fetching the files for service. A new scheme of multi layered file and content encryption has been produced in order to strengthen the security of the file and data to maintain integrity and confidentiality of the IoT enabled services implemented in 5G. The encryption scheme is designed for the password encryption through asymmetric key cryptography (RSA) along with an enhanced concern of internal content or data security with symmetric key (AES-128) cryptography. This encryption system of double layer for a file makes the study unique and differentiable than other security schemes.

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Section: Security Through Encryptionmentioning

confidence: 99%

Dual Layer Encryption for IoT based Vehicle Systems over 5G Communication

Bin-Faisal¹,

Nandi²,

Rahman³

2022

IJITCS

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“…The IoT architecture is generally composed of three layers: the application layer, the network layer, and the perception layer. The perception layer has all of the physical objects that interconnect together and form a network [3]. Wireless Sensor Networks (WSN) are considered one of the main enabling technologies for this layer [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…The perception layer has all of the physical objects that interconnect together and form a network [3]. Wireless Sensor Networks (WSN) are considered one of the main enabling technologies for this layer [3,4]. They are composed of low-power sensor nodes that have limited computational and storing capabilities and a powerful base station (BS) [5].…”

Section: Introductionmentioning

confidence: 99%

“…They are composed of low-power sensor nodes that have limited computational and storing capabilities and a powerful base station (BS) [5]. Wireless sensor networks are used in a wide range of applications, such as environmental monitoring and control, health care systems, office automation, and home control [3,6]. In these applications, sensors share their data through the shared wireless medium [3].…”

Section: Introductionmentioning

confidence: 99%

“…Wireless sensor networks are used in a wide range of applications, such as environmental monitoring and control, health care systems, office automation, and home control [3,6]. In these applications, sensors share their data through the shared wireless medium [3]. Due to this reason and the limitation detailed earlier, they can be vulnerable to multiple numbers of security attacks that can affect the integrity and confidentiality of the data, such as a packet drop, data modification, a packet replay, and false data injections [7,8].…”

Section: Introductionmentioning

confidence: 99%

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A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications

Alromih

Al-Rodhaan

Tian

2018

Sensors

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Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main factor in any decision-making process. This introduces the need to ensure the integrity of data. Secure techniques are needed to detect any data injection attempt before catastrophic effects happen. Sensors have limited computational and power resources. This limitation creates a challenge to design a security mechanism that is both secure and energy-efficient. This work presents a Randomized Watermarking Filtering Scheme (RWFS) for IoT applications that provides en-route filtering to remove any injected data at an early stage of the communication. Filtering injected data is based on a watermark that is generated from the original data and embedded directly in random places throughout the packet’s payload. The scheme uses homomorphic encryption techniques to conceal the report’s measurement from any adversary. The advantage of homomorphic encryption is that it allows the data to be aggregated and, thus, decreases the packet’s size. The results of our proposed scheme prove that it improves the security and energy consumption of the system as it mitigates some of the limitations in the existing works.

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