Machine Learning Based and Reconfigurable Architecture with a Countermeasure for Side Channel Attacks

Illuri, Babu; Jose, Deepa; David, Shiela; Nagarjuan, M.

doi:10.1007/978-981-16-5529-6_14

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…Kocher [33] presented a platform-independent method for updating the secret key for each executive session of a cryptographic scheme, causing the synchronization patterns. Rambus [34] suggested a set of software libraries and hardware cores that are immune to secondary channel attacks such as temporal, electromagnetic, SPA, and DPA attacks. In fact, their methods are based on strategies that reduce the signal-to-noise ratio on side channels and introduce randomization into cryptographic operations.…”

Section: Securitymentioning

confidence: 99%

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Messaoud¹,

Amdouni²,

Albouchi³

et al. 2023

Internet of Things - New Trends, Challenges and Hurdles

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Undeniably, the Internet of Things (IoT) ecosystem keeps on advancing at a fast speed, far above all predictions for growth and ubiquity. From sensor to cloud, this massive network continues to break technical limits in a variety of ways, and wireless sensor nodes are likely to become more prevalent as the number of Internet of Things devices increases into the trillions to connect the world and unconnected objects. However, their future in the IoT ecosystem remains uncertain, as various difficulties as with device connectivity, edge artificial intelligence (AI), security and privacy concerns, increased energy demands, the right technologies to use, and continue to attract opposite forces. This chapter provides a brief, forward-looking overview of recent trends, difficulties, and cutting-edge solutions for low-end IoT devices that use reconfigurable computing technologies like FPGA SoC and next-generation 5/6G networks. Tomorrow’s IoT devices will play a critical role. At the end of this chapter, an edge FPGA SoC computing-based IoT application is proposed, to be a novel edge computing for IoT solution with low power consumption and accelerated processing capability in data exchange.

show abstract

Section: Securitymentioning

confidence: 99%

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Messaoud¹,

Amdouni²,

Albouchi³

et al. 2023

Internet of Things - New Trends, Challenges and Hurdles

View full text Add to dashboard Cite

show abstract

Dollar Price Prediction Using ARIMA

Bharati,

Janakiram,

Pattanayak

et al. 2023

Intelligent Computing and Networking

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An Enhanced Grey Wolf Optimisation–Deterministic Convolutional Neural Network (GWO–DCNN) Model-Based IDS in MANET

Prashanth¹,

Iqbal

Illuri³

2023

J. Info. Know. Mgmt.

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At present, ensuring the security of MANET is a highly challenging chore due to the dynamic topology of the network. Hence, most of the existing Frameworks for Intrusion Detection Systems (IDS) seek to predict the attacks by utilising the clustering and classification mechanisms. Still, they face the major problems of reduced convergence speed, high error rate and increased complexity in the algorithm design. Therefore, this paper intends to utilise integrated optimisation and classification methods for accurately predicting the classified label. This framework comprises the working modules of preprocessing, feature extraction, optimisation and classification. Initially, the input datasets are preprocessed by filling the missing values, and normalising the redundant contents. After that, the Principal Component Analysis (PCA) technique is employed for selecting the set of features used for improving the classification performance. Consequently, the Grey Wolf Optimisation (GWO) technique is utilised for selecting the most optimal features based on the best fitness value, which reduces the overall complexity of IDS. Finally, the Deterministic Convolutional Neural Network (DCNN) technique is utilised for predicting whether the classified outcomes are normal or attacks. For validating the results, various performance metrics have been assessed during the analysis, and the obtained results are compared with the recent state-of-the-art models.

show abstract

Machine Learning Based and Reconfigurable Architecture with a Countermeasure for Side Channel Attacks

Cited by 3 publications

References 11 publications

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Future Internet of Things: Connecting the Unconnected World and Things Based on 5/6G Networks and Embedded Technologies

Dollar Price Prediction Using ARIMA

An Enhanced Grey Wolf Optimisation–Deterministic Convolutional Neural Network (GWO–DCNN) Model-Based IDS in MANET

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