Chaos and Logistic Map Based Key Generation Technique for AES-Driven IoT Security

Rahman, Zia-ur; Yi, Xun; Khalil, Ibrahim; Sumi, Mousumi Akter

doi:10.1007/978-3-030-91424-0_11

Cited by 10 publications

(8 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even if the protocol is known, if the key is not known, it cannot be interrupted and the communication is rendered undecipherable. This process has become an IoT security solution suitable for today's crypto technology [16].…”

Section: Data Encryptionmentioning

confidence: 99%

LabVIEW and Embedded System based New IoT Solution for Industrial applications

SUNGUR

Boru

2022

Academic Platform Journal of Engineering and Smart Systems

View full text Add to dashboard Cite

The Internet of Things (IoT) is becoming increasingly popular around the world. Efficiency in terms of time and cost is ensured in all sectors, thanks to the internet of things technology. A novel IoT system design was created in this study to add Internet of Things technology to a new perspective. All clients can connect to the server using this IoT platform, regardless of their hardware or software capabilities, even if they are not capable of industrial communication. The platform brings flexibility and ease of use to IoTapplications. Thanks to the platform's architecture, any device, whether inputs or outputs, can be easily added to an IoT network while it is running using the developed modules. The server software was created using the LabVIEW visual programming language and Raspberry Pi and MSP340F5529 embedded systems are used to develop hardware modules. To provide IoT data security, the TCP/IP protocol is used for data communication, and all data is encrypted using the AES (Advanced Encryption Standard) algorithm with a 128-bit key. A dynamic 1-N server-client IoT system has been implemented and tested with various analog, digital, and smart sensors, as well as smart devices. When the results are evaluated, it is found that industrial applications can be developed with the platform. Particularly in the case of transformation of industrial automation applications to IoT containing non-smart sensor and actuators, the developed platform can be preferred. In this case, the platform will bring opportunities to engineers in terms of cost and ease of development phase.

show abstract

Section: Data Encryptionmentioning

confidence: 99%

LabVIEW and Embedded System based New IoT Solution for Industrial applications

SUNGUR

Boru

2022

Academic Platform Journal of Engineering and Smart Systems

View full text Add to dashboard Cite

show abstract

“…In Rahman et al [13], a particular security technique was proposed to enhance security and preserve the integrity of much data transmitted within an IoT system. The authors suggest this technique be applied to an IoT cluster head.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Key Generation Using GWO for IoT System

A. Hameedi,

A. Hatem,

N. Hasoon

2024

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

One well-known technological advancement that significantly impacts many things is the Internet of Things (IoT). These include connectivity, work, healthcare, and the economy. IoT can improve life in many situations, including classrooms and smart cities, through work automation, increased output, and decreased worry. However, cyberattacks and other risks significantly impact intelligent Internet of Things applications. Key generation is essential in information security and the various applications that use a distributed system, networks, or Internet of Things (IoT) systems. Several algorithms have been developed to protect IoT applications from malicious attacks; since IoT devices usually have small memory resources and limited computing and power resources, traditional key generation methods are inappropriate because they require high computational power and memory usage. This paper proposes a method of Dynamic Key Generation Method (DKGM) to overcome the difficulty using a specific chaotic map called the Zaslavskii Map and a swarm intelligent algorithm for optimization called Grey Wolf Optimizer (GWO). DKGM's ability to generate several groups-seed numbers using the Zaslavskii map depends on various initial parameters. GWO selects strong generated numbers depending on the randomness test as a fitness function. Three wolfs GWα, GWβ, and GWΩ, are used to simulate the behavior of a pack of grey wolves when attacking prey. The speed and position of each wolf are updated depending on the best three wolves. Finally, use the sets GWα in the round, GWβ in the subkey, and GWΩ in shifting operations of the Chacha20 hash function. The dynamic procedure was used to improve the high-security analysis of the DKGM approach over earlier methods. Simulations show that the suggested method is preferable for IoT applications.

show abstract

“…As a result, utilizing standard AES for crucial and real-time data protection poses a risk to data integrity. So, in our previous work [5], we combined chaos with 3DKGM [6] to overcome the drawbacks of the conventional AES. As per the evaluation conducted, the proposed technique seems to have a convincing outcome to enhance IoT security.…”

Section: Introductionmentioning

confidence: 99%

Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home

Rahman

Billah

et al. 2022

Electronics

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) has brought new ways for humans and machines to communicate with each other over the internet. Though sensor-driven devices have largely eased our everyday lives, most IoT infrastructures have been suffering from security challenges. Since the emergence of IoT, lightweight block ciphers have been a better option for intelligent and sensor-based applications. When public-key infrastructure dominates worldwide, the symmetric key encipherment such as Advanced Encryption Standard (AES) shows immense prospects to sit with the smart home IoT appliances. As investigated, chaos motivated logistic map shows enormous potential to secure IoT aligned real-time data communication. The unpredictability and randomness features of the logistic map in sync with chaos-based scheduling techniques can pave the way to build a particular dynamic key propagation technique for data confidentiality, availability and integrity. After being motivated by the security prospects of AES and chaos cryptography, the paper illustrates a key scheduling technique using a 3-dimensional S-box (substitution-box). The logistic map algorithm has been incorporated to enhance security. The proposed approach has applicability for lightweight IoT devices such as smart home appliances. The work determines how seeming chaos accelerates the desired key-initiation before message transmission. The proposed model is evaluated based on the key generation delay required for the smart-home sensor devices.

show abstract

Chaos and Logistic Map Based Key Generation Technique for AES-Driven IoT Security

Cited by 10 publications

References 32 publications

LabVIEW and Embedded System based New IoT Solution for Industrial applications

LabVIEW and Embedded System based New IoT Solution for Industrial applications

Dynamic Key Generation Using GWO for IoT System

Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home

Contact Info

Product

Resources

About