Side-Channel Attack in Internet of Things: A Survey

Devi, Mrs. M S Lakshmi; Majumder, Abhishek

doi:10.1007/978-981-15-6198-6_20

Cited by 50 publications

(33 citation statements)

References 10 publications

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“…The over the air update of these nodes' firmware or software gives the attacker a chance to inject malicious or false code in the node causing Malicious code injection or False data injection attacks [27]. Side channel attack based on laser, power consumption, and timing can occur in this layer [28]. The nodes present in an open environment are vulnerable to eavesdropping attacks at the time of data transmission or similar events [29].…”

Section: Security Issues In Iot Domainmentioning

confidence: 99%

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

2021

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Internet of Things (IoT) technology is prospering and entering every part of our lives, be it education, home, vehicles, or healthcare. With the increase in the number of connected devices, several challenges are also coming up with IoT technology: heterogeneity, scalability, quality of service, security requirements, and many more. Security management takes a back seat in IoT because of cost, size, and power. It poses a significant risk as lack of security makes users skeptical towards using IoT devices. This, in turn, makes IoT vulnerable to security attacks, ultimately causing enormous financial and reputational losses. It makes up for an urgent need to assess present security risks and discuss the upcoming challenges to be ready to face the same. The undertaken study is a multi-fold survey of different security issues present in IoT layers: perception layer, network layer, support layer, application layer, with further focus on Distributed Denial of Service (DDoS) attacks. DDoS attacks are significant threats for the cyber world because of their potential to bring down the victims. Different types of DDoS attacks, DDoS attacks in IoT devices, impacts of DDoS attacks, and solutions for mitigation are discussed in detail. The presented review work compares Intrusion Detection and Prevention models for mitigating DDoS attacks and focuses on Intrusion Detection models. Furthermore, the classification of Intrusion Detection Systems, different anomaly detection techniques, different Intrusion Detection System models based on datasets, various machine learning and deep learning techniques for data pre-processing and malware detection has been discussed. In the end, a broader perspective has been envisioned while discussing research challenges, its proposed solutions, and future visions.

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Section: Security Issues In Iot Domainmentioning

confidence: 99%

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

2021

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“…• Side-channel attacks: Side-channel signals carry along with important details in regards to the operation of IoT devices and it allows for the discovery of irregular activities. [83][84][85] Malicious firmware and alteration of devices and data can be detected with this analysis providing insights and protection against side-channel attacks and many integrity-related attacks. 74…”

Section: Security Challenges In Iot Environmentmentioning

confidence: 99%

A comprehensive survey on secure software‐defined network for the Internet of Things

Mohamed

Alofe

Azad

et al. 2021

Trans Emerging Tel Tech

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The Internet of Things (IoT) is the network of smart devices, sensors, and machines that continuously monitored the surrounding environment and execute meaningful decisions on the data or information it receives. The Internet-enabled devices could facilitate computer-mediated strategies for various tasks, for example, smart health care, managing the cities or smart factories, smart manufacturing, automating the home and business, etc. IoT commonly uses Internet technology for establishing communication among devices, thus inherits all the security threats that are currently affecting Internet users along with other security threats that are specific to IoTs due to resources constrained nature of the smart devices and sensors. The greater footprint, the distributed nature of the network and the existence of a huge number of IoT devices has also attracted criminals, fraudsters, and attackers to utilize this medium for spreading malicious content or making devices unavailable for legitimate use.It is imperative to ensure that the Confidentiality, Integrity, Security, and Privacy of information and users should remain intact while using these devices and thus they require an effective security system. Software-defined Networks (SDN) and Network Function are the way to control and configure devices from a centralized location and have been proven to offer scalability and versatility to their deployed ecosystems. In this paper, we systematically review the adoption of SDN and Network Function Virtualization (NFV) for securing the IoT network from emerging threats. To this extent, we provide a comprehensive survey on security solutions based on SDN, Blockchain, NFV, and SDN/NFV proposed for the security of the IoT network. We have also identified open challenges in this domain which includes lack of standardization, low cost, and effective machine learning systems for identifying malicious traffic and handling great attack surface and different attack vectors. The deployed technologies exhibit positive strides in their usage for the provision of security in IoT environments offering security enhancements, scalability, and versatility.

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“…Furthermore, in recent years there has been a lot of research conducted in designing power distribution solutions for addressing the SCA vulnerability of low-power computing devices [1], [4], [5], [16], including IoT devices [6]. Most of these designs address the SCA issue at power electronics or silicon level, also keeping power efficiency in mind [18], [19].…”

Section: State Of the Art And Related Workmentioning

confidence: 99%

A Randomized Switched-Mode Voltage Regulation System for IoT Edge Devices to Defend Against Power Analysis based Side Channel Attacks

Khan¹,

Chen²

2021

Preprint

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The prevalence of Internet of Things (IoT) allows heterogeneous and lightweight smart devices to collaboratively provide services with or without human intervention. With an ever-increasing presence of IoT-based smart applications and their ubiquitous visibility from the Internet, user data generated by highly connected smart IoT devices also incur more concerns on security and privacy. While a lot of efforts are reported to develop lightweight information assurance approaches that are affordable to resource-constrained IoT devices, there is not sufficient attention paid from the aspect of security solutions against hardware-oriented attacks, i.e. side channel attacks. In this paper, a COTS (commercial off-the-shelf) based Randomized Switched-Mode Voltage Regulation System (RSMVRS) is proposed to prevent power analysis based side channel attacks (P-SCA) on bare metal IoT edge device. The RSMVRS is implemented to direct power to IoT edge devices. The power is supplied to the target device by randomly activating power stages with random time delays. Therefore, the cryptography algorithm executing on the IoT device will not correlate to a predictable power profile, if an adversary performs a SCA by measuring the power traces. The RSMVRS leverages COTS components and experimental study has verified the correctness and effectiveness of the proposed solution.

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Side-Channel Attack in Internet of Things: A Survey

Cited by 50 publications

References 10 publications

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review

A comprehensive survey on secure software‐defined network for the Internet of Things

A Randomized Switched-Mode Voltage Regulation System for IoT Edge Devices to Defend Against Power Analysis based Side Channel Attacks

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