Blockchain-based Intrusion Detection System of IoT urban data with device authentication against DDoS attacks

Babu, E. Suresh; BKN, SrinivasaRao; Nayak, Soumya Ranjan; Verma, Amit; Alqahtani, Fayez; Tolba, Amr; Mukherjee, Amrit

doi:10.1016/j.compeleceng.2022.108287

Cited by 25 publications

(16 citation statements)

References 13 publications

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“…Blockchain enhances IDS security by ensuring the integrity and reliability of security data through its immutable and decentralized architecture [85][86][87]95]. Timestamping and cryptographically linking data blocks enable secure and tamper-proof logging of IDS events, mitigating the risk of data manipulation or deletion [91,92].…”

Section: Role Of Blockchain In Enhancing Ids Securitymentioning

confidence: 99%

Tides of Blockchain in IoT Cybersecurity

Ahakonye,

Nwakanma,

Kim

2024

Sensors

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This paper surveys the implementation of blockchain technology in cybersecurity in Internet of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain technology with intrusion detection systems (IDS) to enhance IDS performance. This paper reviews articles from various domains, including AI, blockchain, IDS, IoT, and Industrial IoT (IIoT), to identify emerging trends and challenges in this field. An analysis of various approaches incorporating AI and blockchain demonstrates the potentiality of integrating AI and blockchain to transform IDS. This paper’s structure establishes the foundation for further investigation and provides a blueprint for the development of IDS that is accessible, scalable, transparent, immutable, and decentralized. A demonstration from case studies integrating AI and blockchain shows the viability of combining the duo to enhance performance. Despite the challenges posed by resource constraints and privacy concerns, it is notable that blockchain is the key to securing IoT networks and that continued innovation in this area is necessary. Further research into lightweight cryptography, efficient consensus mechanisms, and privacy-preserving techniques is needed to realize all of the potential of blockchain-powered cybersecurity in IoT.

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Section: Role Of Blockchain In Enhancing Ids Securitymentioning

confidence: 99%

Tides of Blockchain in IoT Cybersecurity

Ahakonye,

Nwakanma,

Kim

2024

Sensors

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“…The proposed blockchain system uses Elliptic Curve Digital Signature Algorithm (ECDSA). The ECDSA is a public key cryptographic algorithm used to ensure that the messages received from the FNs to the edge devices are authentic, were discussed in Babu et al, 30 and not tampered with. A threshold digital signature scheme is also used to verify and add blocks to the distributed ledger.…”

Section: Background Workmentioning

confidence: 99%

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

Babu,

Rao,

Swain

et al. 2023

Int J Network Mgmt

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The technological integration of the Internet of Things (IoT)‐Cloud paradigm has enabled intelligent linkages of things, data, processes, and people for efficient decision making without human intervention. However, it poses various challenges for IoT networks that cannot handle large amounts of operation technology (OT) data due to physical storage shortages, excessive latency, higher transfer costs, a lack of context awareness, impractical resiliency, and so on. As a result, the fog network emerged as a new computing model for providing computing capacity closer to IoT edge devices. The IoT‐Fog‐Cloud network, on the other hand, is more vulnerable to multiple security flaws, such as missing key management problems, inappropriate access control, inadequate software update mechanism, insecure configuration files and default passwords, missing communication security, and secure key exchange algorithms over unsecured channels. Therefore, these networks cannot make good security decisions, which are significantly easier to hack than to defend the fog‐enabled IoT environment. This paper proposes the cooperative flow for securing edge devices in fog‐enabled IoT networks using a permissioned blockchain system (pBCS). The proposed fog‐enabled IoT network provides efficient security solutions for key management issues, communication security, and secure key exchange mechanism using a blockchain system. To secure the fog‐based IoT network, we proposed a mechanism for identification and authentication among fog, gateway, and edge nodes that should register with the blockchain network. The fog nodes maintain the blockchain system and hold a shared smart contract for validating edge devices. The participating fog nodes serve as validators and maintain a distributed ledger/blockchain to authenticate and validate the request of the edge nodes. The network services can only be accessed by nodes that have been authenticated against the blockchain system. We implemented the proposed pBCS network using the private Ethereum 2.0 that enables secure device‐to‐device communication and demonstrated performance metrics such as throughput, transaction delay, block creation response time, communication, and computation overhead using state‐of‐the‐art techniques. Finally, we conducted a security analysis of the communication network to protect the IoT edge devices from unauthorized malicious nodes without data loss.

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“…Since the data is stored and monitored in a distributed manner, malicious activities can be detected more quickly in this way compared to conventional methods. Additionally, the blockchain-based system enables quick network log data retrieval, which can be used for security alert notifications [16]. The distributed blockchain-based IDS offers a novel method for enhancing security measures for huge networks (Figure 1).…”

Section: Distributed Blockchain-based Idsmentioning

confidence: 99%

An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems

Abubakar,

Liu,

Gilliard

2023

Electronics Letters

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Intrusion Detection System (IDS) is a critical cybersecurity task that involves monitoring network traffic for malicious activity and taking appropriate action to stop it. However, insufficient training data or improperly chosen thresholds often limit the accuracy of such systems, resulting in high false‐positive rates. To improve the accuracy of an IDS, blockchain technology can be used as it provides a secure, decentralized, immutable ledger that can track suspicious activity over time and also identify intrusions globally. In this paper, the authors propose a novel methodology to improve the accuracy of blockchain‐based IDS. The approach combines different intrusion detection algorithms using a blockchain‐integrated architecture. It is based on the fusion principle and weighted votes, which the authors used to determine their results. The authors tested the system on DARPA 99 and MIT‐Lincoln Labs datasets using accuracy and false‐positive rate as their two metrics. The system achieved 92.6% accuracy and 7.4% false‐positive rates, indicating that the proposed system significantly increases the accuracy while reducing the false‐positive rate, opening up new opportunities for the development of highly accurate networks.

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Blockchain-based Intrusion Detection System of IoT urban data with device authentication against DDoS attacks

Cited by 25 publications

References 13 publications

Tides of Blockchain in IoT Cybersecurity

Tides of Blockchain in IoT Cybersecurity

Fog‐Sec: Secure end‐to‐end communication in fog‐enabled IoT network using permissioned blockchain system

An efficient blockchain‐based approach to improve the accuracy of intrusion detection systems

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