## 1 Introduction
### Comparison with Existing Literature
Authors of [71; 74] review the integration of intrusion detection systems (IDSs) and ML techniques on known signatures for an adaptive and efficient performance. A Hybrid Intrusion Detection Framework (EHIDF) for addressing security threats in Mobile Edge Computing (MEC) is proposed in [73], utilizing modules like Signature Detection Module (SDM), Anomaly Detection Module (ADM), and Hybrid Detection Module (HDM). The framework was evaluated using the UNSW-NB15 dataset, which includes various attack types. The researchers in [75] implemented a double PUF-based model on the Xilinx Virtex5 FPGA for authenticating edge devices and software (IP cores), achieving a 61.96% reduction in resource utilization along with a performance stability rate of 99.54%. In [76], XORArbiter PUFs were used for authenticating Edge Data Centres (EDCs) and edge devices, with Raspberry Pi devices simulating EDCs. In [77], a 10-transistor SRAM cell was utilized to perform both XOR encryption (PUF) and MAC operations within the same cell, allowing the processing and encryption of DNN model weights. A delay-based PUF, producing a 1-bit signature, was synthesized and configured on a 28 nm FPGA using on-chip resources such as lookup tables (LUTs) and flip-flops, achieving an average uniqueness of 49.7% [78]. A fast and effective data encryption application, called Selective Encryption and Component-Oriented Deduplication (SEACOD) [81], is discussed in context to the EC security [82]. A blockchain-based mutual authentication scheme integrated into certificate-less cryptography, elliptic curve cryptography, and pseudonym-based cryptography that authenticates transactions between edge servers and IoT devices is presented in [83]. Also, the key generation negotiation mechanism while considering IoT devices' mobility is implemented on hyperledger fabric. A review of the current research status in EC security on access control, key management, privacy protection, attack mitigation, and anomaly detection is carried out in [84]. The authors advocate the need for innovative proposals in EC, as already mature cloud computing does not meet recent challenges and requirements. Access control and key management schemes in Information-centric networking (ICN) and non-ICN infrastructures are based on traditional schemes, and there is a need for newer architectures with lighter encryption protocols. A secure searching scheme for desired data within own/shared data on storage, as well as a searching scheme for IoT smart devices at the edge of cloud-assisted IoT, is proposed in [85]. The researchers claim that their proposed data-sharing mechanism, along with secret and public key encryption, improves data processing time as compared to existing cloud-based systems. A comprehensive overview of blockchain technology and its application in the network control, storage, and computation at edge nodes, offering network security, data integrity, and computation verification, is presented in [60; 61; 86]. A blockchain technology integrated into the communication layer of an edge network can manage the radio spectrum and authentication of edge devices, as well as network access control in the network layer [86]. [PERSON] et al. proposed blockchain-based data and energy coins on the distributed consensus principle for the secured data exchange in Electric vehicles cloud and edge (EVCE) computing [58]. Blockchain-based decentralized framework named \"DecChain\" is proposed to eliminate the need for authentication to access third-party services or resources [59]. Also, hardware-assisted blockchain implementation of a defense-in-depth strategy and proper network segmentation forms the basis for a secured and trusted environment for the unidirectional payment channels is investigated in [62; 64]. Infrastructure for cloud access through the adoption of the Secure access service edge (SAE) framework is used for developing strategies for threat and intrusion detection, network segmentation, and defense in depth (DiD) [65; 66].