INFECT: INconspicuous FEC-based Trojan: A hardware attack on an 802.11a/g wireless network

Subramani, Kiruba Sankaran; Antonopoulos, Angelos; Abotabl, Ahmed Attia; Nosratinia, Aria; Makris, Yiorgos

doi:10.1109/hst.2017.7951804

Cited by 12 publications

(13 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A covert channel attack or data leakage attack has been addressed in [14], [15], and [22]. Cañedo et al in [22] study utilizing Artificial Neural Networks (ANN) in a gateway to detect anomalies in the data transmitted from the IoT-EDs.…”

Section: Related Workmentioning

confidence: 99%

“…By using these features, they prevent some attacks like the man-in-the-middle attack. In [14], Subramani et al introduce a hardware Trojan attack which utilizes the error-correcting capabilities of the Forward Error Correction (FEC) encoder in the baseband circuits of an 802.11a/g transmitter. They argue that FEC provides protection against a noisy channel more than it requires.…”

Section: Related Workmentioning

confidence: 99%

“…As all the IoT devices contain an Integrated Circuit (IC) chip, the HT-based attacks' vulnerabilities are universal to all IoT devices [12], [13]. This can harm the IoT-based network's performance, security, privacy, accessibility, and may even provide backdoor access leading to information leakage [14]- [17], [57].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, in HTbased covert channel attacks, the attacker IoT device may send legitimate data, simultaneously or staggered, through a legitimate and a covert channel interface. The covert channel interface may or may not be visible to traditional IDS or firewall monitoring systems [14]- [16]. Along the same lines, the HT-based attacks may also lead to a Denial-of-Service (DoS) attack, and a new type of attack, which has been named Automatic Repeat reQuest (ARQ) attack.…”

Section: Introductionmentioning

confidence: 99%

“…To fill the gap of HT-based attacks detection and overcome the unique characterization of HT-based attacks on IoT-based networks, researchers secure the IoT edge device (IoT-ED) through the utilization of design time intervention techniques. In these techniques, they protect the IC chips from HT-based attacks by modifying the layout at design time, which protects the IC chip from HT-based attacks but not the whole IoT device [8], [9], [14]. In some other works, researchers utilized a network protocol level detection mechanism to secure the network without taking hardware problem into perspective [19], [20].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

View full text Add to dashboard Cite

Internet of Things (IoT) devices have connected millions of houses around the globe via the internet. In the recent past, threats due to hardware Trojan (HT) in the integrated circuits (IC) have become a serious concern, which affects IoT edge devices (IoT-ED). In this paper, the possibility of the IoT-ED with embedded HT that can cause serious security, privacy, and availability problems to the IoT based Home Area Network (HAN) has been discussed. Conventional network attack detection techniques work at the network protocol layers, whereas IoT-ED with HT can lead to the peculiar manifestation of attack at the physical and/or firmware level. On the other hand, in the IC design, most of the HT-based attack detection techniques require design time intervention, which is expensive for many of the IoT-ED and cannot guarantee 100% immunity. The argument in this paper is that the health of modern IoT-ED requires a final line of defense against possible HT-based attacks that goes undetected during IC design and test. The approach is to utilize power profiling (PP) and network traffic (NT) data without intervening into the IC design to detect malicious activity in HAN. The proposed technique is to effectively identify multiple attacks concurrently and to differentiate between different types of attacks. The IoT-ED behaviors for five different types of random attacks have been studied, including covert channel, DoS, ARQ, power depletion, and impersonation attacks. Data fusion has been leveraged by combining the PP and NT data and is able to detect, without design time intervention, each of the five attacks individually with up to 99% accuracy. Moreover, the proposed technique can also detect all the attacks concurrently with 92% accuracy. To the best of authors' knowledge, this is the first work where multiple HT based attacks are concurrently detected in IoT-ED without requiring any design time intervention. INDEX TERMS Internet of Things, hardware security, home area network, hardware Trojan, machine learning, power profile, ARQ attack, DoS attack.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

2020

View full text Add to dashboard Cite

show abstract

Hardware Trojans in Analog, Mixed-Signal, and RF ICs

Antonopoulos

Kapatsori

Makris

2017

The Hardware Trojan War

View full text Add to dashboard Cite

A Reliable and Secure Mobile Cyber-Physical Digital Microfluidic Biochip for Intelligent Healthcare

Yao,

Qiu,

Liu

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Digital microfluidic, as an emerging and potential technology, diversifies the biochemical applications platform, such as protein dilution sewage detection. At present, a vast majority of universal cyberphysical digital microfluidic biochips (DMFBs) transmit data through wires via personal computers and microcontrollers (like Arduino), consequently, susceptible to various security threats and therefore, with the popularity of wireless devices, losing competitiveness gradually. On the premise that security be ensured first and foremost, calls for wireless portable, safe, and economical DMFBs are imperative to expand their application fields, engage more users and to cater to the trend of future wireless communication. To this end, a new cyberphysical DMFB called PortableLab is proposed in this paper, which guarantees data security through wireless sensors with low cost. More specifically, a mobile module is added after taking into account the security, computing consumption and cost. In addition, the improved Advanced Encryption Standard (AES) and Cyclic Redundancy Check (CRC) algorithms are utilized to ensure the integrity and confidentiality of data transmission. Ultimately, all the security analysis, cost analysis, and experimental results on multiple protocols demonstrate the feasibility of the proposed PortableLab DMFB in time and space.INDEX TERMS DMFB, security, wireless, mobile, low-cost.

show abstract

INFECT: INconspicuous FEC-based Trojan: A hardware attack on an 802.11a/g wireless network

Cited by 12 publications

References 14 publications

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

Fusion-On-Field Security and Privacy Preservation for IoT Edge Devices: Concurrent Defense Against Multiple Types of Hardware Trojan Attacks

Hardware Trojans in Analog, Mixed-Signal, and RF ICs

A Reliable and Secure Mobile Cyber-Physical Digital Microfluidic Biochip for Intelligent Healthcare

Contact Info

Product

Resources

About