Scalable and Configurable End-to-End Collection and Analysis of IoT Security Data : Towards End-to-End Security in IoT Systems

Roukounaki, Aikaterini; Efremidis, Sofoklis; Soldatos, John; Neises, Juergen; Walloschke, Thomas; Kefalakis, Nikos

doi:10.1109/giots.2019.8766407

Cited by 69 publications

(18 citation statements)

References 11 publications

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“…However, this approach is not aware about effective key management. Chen and Tzeng et al [4] designed a policy based on the shared key derivation method for securing the data sharing among a group . This methodology uses a binary tree for the computation of the keys.…”

Section: Related Workmentioning

confidence: 99%

Security Enhancement in Cloud Environment using Secure Secret Key Sharing

Chhabra

Singh

2020

J. commun. softw. syst. (Online)

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Cloud Computing has achieved long dreamed vision of developments in IT industry such as remote storage services or privacy solutions. It is a data storage model in which data is preserved, controlled and presented over the network users. However, cloud storage gives rise to security concerns. Preserving the secrecy in a group is one of the major research issue in cloud store. This paper is focused on Secure Secret Sharing (SSS) technique which is being recognized as one of the leading method to secure the sensitive data. The proposed methodology shares encrypted data over cloud and generated secret key is split into different parts are given to qualified participants (Qn) only which is analyzed by the index buffer and the malicious checkers. This malicious checker verifies the clients based on their previous performances, whether these users prove authorized participant or not. The key share is stored by trusted third party called Key handler (KH) i.e. an integrated approach for managing, reconstruction and decrypting the key’s shares. If Key Handler (KH) gets part > 80% of the secret key then cloud share their secret data to the owners and if KH gets part 90% of the key then cloud only shares one of the top secret. The Lagrange’s interpolation method is used to reconstruct the secret from shares. The authors have considered two benchmarks in our experiment for testing and analysis of the results. The performance is evaluated based on time consumption and probability computation to prove the efficacy of our algorithm. It shows the key generation time for 128 shares by more than 100 clients is 96.1265 ms and the computation time in the whole process is 1176.35 ms. The results show that our algorithm reduces the risks and improves the security upto 43.82% over all types of analysis for secure data sharing inclouds.

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Section: Related Workmentioning

confidence: 99%

Security Enhancement in Cloud Environment using Secure Secret Key Sharing

Chhabra

Singh

2020

J. commun. softw. syst. (Online)

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“…However, they require a large amount of security data to train the model. The monitoring system should be efficient and able to adapt to different safety environments [29]. However, due to the limitations of the edge device itself, many complex deep learning models are difficult to perform well.…”

Section: Security Protection Of Edge Computingmentioning

confidence: 99%

Highly secure edge-intelligent electric motorcycle management system for elevators

et al. 2020

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Because of their portability, electric motorcycles are usually pushed into elevators by residents and charged in the home, which has serious safety risks. Traditional manual-based methods to manage this behavior have poor monitoring effects and high costs. As for automatic management systems using artificial intelligence (AI), the deployment method matters. Cloud-based deployment methods have the disadvantages of high latency, high risk of privacy leakage, and heavy network transmission loads. In this paper, we propose a highly secure edge-intelligent electric motorcycle management system for elevators. By using edge-based deployment method, the monitor pictures are processed locally without being uploaded to the cloud, which can effectively resist network attacks and prevent residents' private data from being leaked. To improve the system security, we fully analyze the challenges faced in the application scenarios and introduce security threat identification (STI-1H8) model to identify the security threats. In addition, we propose several data enhancement methods to improve the system recognition accuracy. Experimental results show that our system can achieve a high recall rate of 0.82. By using data enhancement and data mixing strategies, it can reduce the misjudgment rate by 0.35. Moreover, compared to cloud computing, our edge-based method can reduce the latency by 19.6%, meeting real-time requirements.

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“…The algorithms used for ESP-8266 built on a RISC(Reduced Intrusion Set Computer) based platform and ESP-8266 even has a software development kit that allowed the users to program the device rather than using a different micro-controller altogether. [9] A V-Band Transceiver With Integrated Resonator and Receiver/Transmitter Antenna for Near-Field IoT (2018) presents a V-band transceiver for NF-IoT without the conventional low noise amplifier, mixers, power amplifier, and phase-locked loop building blocks. Also, there are no external components except a battery or energy scavenger.…”

Section: F Observationmentioning

confidence: 99%

Easy Payout, Advanced shopping, and Security in Super Market

Priya*¹,

Agrawal²,

Roy³

et al. 2019

IJITEE

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Abstract: Nowadays there is a very common issue among the general public that is lack of time. This lack of time has let the consumers to be impatient. Another most important threat to the shop or supermarket owners are theft. Many cases persist in robbery or theft in this modern era. Despite having security systems, alarms and security guards there exists the cases of theft. This leads to a huge loss to the market as well as the shop owners. They face a great challenge due to this. This idea is capable of reducing or rather preventing these issues to occur. This will provide consumers with an easy and time-efficient way. The idea if the project is to deduce a method for smart super-market stores that operate efficiently by reducing the time a customer spends at the billing desk. The target can be achieved by the use of smart bands designed especially for use by the super-market which will keep accumulating the price of the products taken off the racks by the customer. The total system will work on sensors and cloud monitoring which while the shopping will get updated by the user.When the customer is done with shopping, they can request an electronic bill that will allow payment in any of the available formats and will enable the customer to collect the physical bill after the successful payment of the total bill. This payment will be directly made by scanning the code in the billing counter through the band which will directly reflect the amount from the temporary cart and the payment will be proceeded in anyways according to the shopper.

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Scalable and Configurable End-to-End Collection and Analysis of IoT Security Data : Towards End-to-End Security in IoT Systems

Cited by 69 publications

References 11 publications

Security Enhancement in Cloud Environment using Secure Secret Key Sharing

Security Enhancement in Cloud Environment using Secure Secret Key Sharing

Highly secure edge-intelligent electric motorcycle management system for elevators

Easy Payout, Advanced shopping, and Security in Super Market

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