scholarly journals CloudEyes: Cloud-based malware detection with reversible sketch for resource-constrained internet of things (IoT) devices

2016 ◽  
Vol 47 (3) ◽  
pp. 421-441 ◽  
Author(s):  
Hao Sun ◽  
Xiaofeng Wang ◽  
Rajkumar Buyya ◽  
Jinshu Su
Keyword(s):  
Internet Of Things ◽  
Malware Detection ◽  
Resource Constrained ◽  
Iot Devices

scholarly journals State-of-the-Art Software-Based Remote Attestation: Opportunities and Open Issues for Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1598
Author(s):  
Sigurd Frej Joel Jørgensen Ankergård ◽  
Edlira Dushku ◽  
Nicola Dragoni
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Cyber Attacks ◽  
Resource Constrained ◽  
Remote Attestation ◽  
Comprehensive Overview ◽  
Research Issues ◽  
Advantages And Disadvantages ◽  
Iot Devices ◽  
Specialized Hardware

The Internet of Things (IoT) ecosystem comprises billions of heterogeneous Internet-connected devices which are revolutionizing many domains, such as healthcare, transportation, smart cities, to mention only a few. Along with the unprecedented new opportunities, the IoT revolution is creating an enormous attack surface for potential sophisticated cyber attacks. In this context, Remote Attestation (RA) has gained wide interest as an important security technique to remotely detect adversarial presence and assure the legitimate state of an IoT device. While many RA approaches proposed in the literature make different assumptions regarding the architecture of IoT devices and adversary capabilities, most typical RA schemes rely on minimal Root of Trust by leveraging hardware that guarantees code and memory isolation. However, the presence of a specialized hardware is not always a realistic assumption, for instance, in the context of legacy IoT devices and resource-constrained IoT devices. In this paper, we survey and analyze existing software-based RA schemes (i.e., RA schemes not relying on specialized hardware components) through the lens of IoT. In particular, we provide a comprehensive overview of their design characteristics and security capabilities, analyzing their advantages and disadvantages. Finally, we discuss the opportunities that these RA schemes bring in attesting legacy and resource-constrained IoT devices, along with open research issues.

Fog Computing: A Primer

2017 ◽  
Vol 7 (7) ◽  
pp. 405
Author(s):  
Matthew N. O. Sadiku ◽  
Mahamadou Tembely ◽  
Sarhan M. Musa
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fog Computing ◽  
Resource Constrained ◽  
Computing Model ◽  
Computing Services ◽  
Iot Devices ◽  
Real Time Computing ◽  
And Storage ◽  
The Ideal

Fog computing (FC) was proposed in 2012 by Cisco as the ideal computing model for providing real-time computing services and storage to support the resource-constrained Internet of Things (IoT) devices. Thus, FC may be regarded as the convergence of the IoT and the Cloud, combining the data-centric IoT services and pay-as-you-go characteristics of clouds.  This paper provides a brief introduction of fog computing.

scholarly journals Privacy Preservation in Resource-Constrained IoT Devices Using Blockchain—A Survey

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1732
Author(s):  
Zainab Iftikhar ◽  
Yasir Javed ◽  
Syed Yawar Abbas Zaidi ◽  
Munam Ali Shah ◽  
Zafar Iqbal Khan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Privacy Preservation ◽  
Resource Constrained ◽  
Huge Number ◽  
Identity Disclosure ◽  
Iot Devices ◽  
Resource Constrained Devices ◽  
Constrained Devices

With opportunities brought by Internet of Things (IoT), it is quite a challenge to assure privacy preservation when a huge number of resource-constrained distributed devices is involved. Blockchain has become popular for its benefits, including decentralization, persistence, immutability, auditability and consensus. With the implementation of blockchain in IoT, the benefits provided by blockchain can be derived in order to make IoT more efficient and maintain trust. In this paper, we discuss some applications of IoT in different fields and privacy-related issues faced by IoT in resource-constrained devices. We discuss some applications of blockchain in vast majority of areas, and the opportunities it brings to resolve IoT privacy limitations. We, then, survey different researches based on the implementation of blockchain in IoT. The goal of this paper is to survey recent researches based on the implementation of blockchain in IoT for privacy preservation. After analyzing the recent solutions, we see that the blockchain is an optimal way for preventing identity disclosure, monitoring, and providing tracking in IoT.

scholarly journals Secure Communications for Resource-Constrained IoT Devices

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3637
Author(s):  
Abd-Elhamid M. Taha ◽  
Abdulmonem M. Rashwan ◽  
Hossam S. Hassanein
Keyword(s):  
Internet Of Things ◽  
Secure Communication ◽  
The Internet ◽  
Secure Communications ◽  
Message Authentication ◽  
Authentication Codes ◽  
Resource Constrained ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Constrained Devices

The importance of securing communications on the Internet of Things (IoT) cannot be overstated. This is especially the case in light of the increasing proliferation of IoT devices and instances, as well as the growing dependence on their usage. Meanwhile, there have recently been mounting concerns over a wide array of vulnerabilities in IoT communications. The objective of this work is to address constraints in IoT devices that are “resource-constrained”, which are devices that are limited in terms of computing, energy, communication, or range capabilities, whether in terms of nominal or temporal limitations. Specifically, we propose a framework for resource-aiding constrained devices to facilitate secure communication. Without loss of generalization, the framework’s viability is illustrated by focusing on a group of security functions that utilize message authentication codes, which is a strongly representative example of resource-intensive security functions. Aspects of the framework are further demonstrated in processing cores commonly used in commercial IoT devices.

scholarly journals A Comparative Study of Post-Quantum Cryptosystems for Internet-of-Things Applications

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 489
Author(s):  
Jose-Antonio Septien-Hernandez ◽  
Magali Arellano-Vazquez ◽  
Marco Antonio Contreras-Cruz ◽  
Juan-Pablo Ramirez-Paredes
Keyword(s):  
Internet Of Things ◽  
Quantum Algorithms ◽  
The Internet ◽  
Quantum Computers ◽  
Resource Constrained ◽  
Public Key Cryptosystems ◽  
Shor's Algorithm ◽  
Iot Devices ◽  
Imminent Threat ◽  
The Internet Of Things

The existence of quantum computers and Shor’s algorithm poses an imminent threat to classical public-key cryptosystems. These cryptosystems are currently used for the exchange of keys between servers and clients over the Internet. The Internet of Things (IoT) is the next step in the evolution of the Internet, and it involves the connection of millions of low-powered and resource-constrained devices to the network. Because quantum computers are becoming more capable, the creation of a new cryptographic standard that cannot be compromised by them is indispensable. There are several current proposals of quantum-resistant or post-quantum algorithms that are being considered for future standards. Given that the IoT is increasing in popularity, and given its resource-constrained nature, it is worth adapting those new standards to IoT devices. In this work, we study some post-quantum cryptosystems that could be suitable for IoT devices, adapting them to work with current cryptography and communication software, and conduct a performance measurement on them, obtaining guidelines for selecting the best for different applications in resource-constrained hardware. Our results show that many of these algorithms can be efficiently executed in current IoT hardware, providing adequate protection from the attacks that quantum computers will eventually be capable of.

scholarly journals PRISEC: Comparison of Symmetric Key Algorithms for IoT Devices

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4312 ◽  
Author(s):  
Daniel A. F. Saraiva ◽  
Valderi Reis Quietinho Leithardt ◽  
Diandre de Paula ◽  
André Sales Mendes ◽  
Gabriel Villarrubia González ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Power Consumption ◽  
Advanced Encryption Standard ◽  
The Internet ◽  
Secure Communications ◽  
Resource Constrained ◽  
Symmetric Key ◽  
Iot Devices ◽  
Resource Constrained Devices ◽  
Constrained Devices

With the growing number of heterogeneous resource-constrained devices connected to the Internet, it becomes increasingly challenging to secure the privacy and protection of data. Strong but efficient cryptography solutions must be employed to deal with this problem, along with methods to standardize secure communications between these devices. The PRISEC module of the UbiPri middleware has this goal. In this work, we present the performance of the AES (Advanced Encryption Standard), RC6 (Rivest Cipher 6), Twofish, SPECK128, LEA, and ChaCha20-Poly1305 algorithms in Internet of Things (IoT) devices, measuring their execution times, throughput, and power consumption, with the main goal of determining which symmetric key ciphers are best to be applied in PRISEC. We verify that ChaCha20-Poly1305 is a very good option for resource constrained devices, along with the lightweight block ciphers SPECK128 and LEA.

Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products

2021 ◽  
Vol 17 (4) ◽  
pp. 1-18
Author(s):  
Urmish Thakker ◽  
Igor Fedorov ◽  
Chu Zhou ◽  
Dibakar Gope ◽  
Matthew Mattina ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Time Series Data ◽  
Machine Learning Algorithms ◽  
Series Data ◽  
Model Parameters ◽  
Resource Constrained ◽  
Fine Grained ◽  
Constrained Environments ◽  
Task Accuracy ◽  
Iot Devices

Micro-controllers (MCUs) make up most of the processors in the world with widespread applicability from automobile to medical devices. The Internet of Things promises to enable these resource-constrained MCUs with machine learning algorithms to provide always-on intelligence. Many Internet of Things applications consume time-series data that are naturally suitable for recurrent neural networks (RNNs) like LSTMs and GRUs. However, RNNs can be large and difficult to deploy on these devices, as they have few kilobytes of memory. As a result, there is a need for compression techniques that can significantly compress RNNs without negatively impacting task accuracy. This article introduces a method to compress RNNs for resource-constrained environments using the Kronecker product (KP). KPs can compress RNN layers by 16× to 38× with minimal accuracy loss. By quantizing the resulting models to 8 bits, we further push the compression factor to 50×. We compare KP with other state-of-the-art compression techniques across seven benchmarks spanning five different applications and show that KP can beat the task accuracy achieved by other techniques by a large margin while simultaneously improving the inference runtime. Sometimes the KP compression mechanism can introduce an accuracy loss. We develop a hybrid KP approach to mitigate this. Our hybrid KP algorithm provides fine-grained control over the compression ratio, enabling us to regain accuracy lost during compression by adding a small number of model parameters.

scholarly journals An Adaptive Communication-Efficient Federated Learning to Resist Gradient-Based Reconstruction Attacks

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yanbin Li ◽  
Yue Li ◽  
Huanliang Xu ◽  
Shougang Ren
Keyword(s):  
Internet Of Things ◽  
Communication Strategy ◽  
Communication Overhead ◽  
Resource Constrained ◽  
User Privacy ◽  
Adaptive Communication ◽  
Gradient Based ◽  
Promising Solution ◽  
Defence Strategy ◽  
Iot Devices

The widely deployed devices in Internet of Things (IoT) have opened up a large amount of IoT data. Recently, federated learning emerges as a promising solution aiming to protect user privacy on IoT devices by training a globally shared model. However, the devices in the complex IoT environments pose great challenge to federate learning, which is vulnerable to gradient-based reconstruction attacks. In this paper, we discuss the relationships between the security of federated learning model and optimization technologies of decreasing communication overhead comprehensively. To promote the efficiency and security, we propose a defence strategy of federated learning which is suitable to resource-constrained IoT devices. The adaptive communication strategy is to adjust the frequency and parameter compression by analysing the training loss to ensure the security of the model. The experiments show the efficiency of our proposed method to decrease communication overhead, while preventing privacy data leakage.

scholarly journals Cost-Effective Proxy Signcryption Scheme for Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Insaf Ullah ◽  
Ali Alkhalifah ◽  
Muhammad Asghar Khan ◽  
Samih M. Mostafa
Keyword(s):  
Internet Of Things ◽  
High Speed ◽  
Random Oracle Model ◽  
Internet Security ◽  
Security And Privacy ◽  
The Internet ◽  
Resource Constrained ◽  
Sensors And Actuators ◽  
Wide Range ◽  
Iot Devices

The Internet of things (IoT) has emerged into a revolutionary technology that enables a wide range of features and applications given the proliferation of sensors and actuators embedded in everyday objects, as well as the ubiquitous availability of high-speed Internet. When nearly everything is connected to the Internet, security and privacy concerns will become more significant. Furthermore, owing to the resource-constrained nature of IoT devices, they are unable to perform standard cryptographic computations. As a result, there is a critical need for efficient and secure lightweight cryptographic scheme that can meet the demands of resource-constrained IoT devices. In this study, we propose a lightweight proxy in which a person/party can delegate its signing authority to a proxy agent. Existing proxy signcryption security approaches are computationally costly and rely on RSA, bilinear pairing, and elliptic curves cryptography (ECC). The hyperelliptic curve cryptosystem (HECC), on the other hand, employs a smaller key size while maintaining the same level of security. When assessed using the random oracle model (ROM), the proposed scheme provides resilience against indistinguishable under adaptive chosen ciphertext attacks (IND-CCA) and unforgeable under adaptive chosen message attacks (UU-ACMA). To demonstrate the viability of the proposed scheme, security analyses and comparisons with existing schemes are performed. The findings show that the proposed scheme provides high security while reducing computational and communication costs.

scholarly journals Experimental Study of Component-Differentially-Challenged XOR PUFs as Security Primitives for Internet-of-Things

2020 ◽  
pp. 714-721
Author(s):  
Khalid T. Mursi ◽  
◽  
Yu Zhuang
Keyword(s):  
Machine Learning ◽  
Experimental Study ◽  
Internet Of Things ◽  
Experimental Studies ◽  
Cryptographic Protocols ◽  
Resource Constrained ◽  
Physical Unclonable Functions ◽  
Essential Properties ◽  
Iot Devices

Security is critically important for Internet-of-Things, but existing cryptographic protocols are not lightweight enough for resource-constrained IoT devices. Implementable with simplistic circuits and operable with shallow power, physical unclonable functions (PUFs) leverage small but unavoidable physical variations of the circuit to produce unique responses for individual PUF instances, rendering themselves good candidates as security primitives for IoT devices. Component-differentially-challenged XOR PUFs (CDC XPUFs) are among the PUFs which were shown to be highly secure to machine learning modeling attacks. However, no study of implementation and experimentation has been carried out. In this paper, we report our implementations of CDC XPUFs on FPGAs and experimental studies of the essential properties of CDC XPUFs.

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