While 5G is well-known for network cloudification with micro-service based architecture, the next generation networks or the 6G era is closely coupled with intelligent network orchestration and management. Hence, the role of Artificial Intelligence (AI) is immense in the envisioned 6G paradigm. However, the alliance between 6G and AI may also be a doubleedged sword in many cases as AI's applicability for protecting or infringing security and privacy. In particular, the end-toend automation of future networks demands proactive threats discovery, application of mitigation intelligent techniques and making sure the achievement of self-sustaining networks in 6G. Therefore, to consolidate and solidify the role of AI in securing 6G networks, this article presents how AI can be leveraged in 6G security, possible challenges and solutions.

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Although the fifth generation wireless networks are yet to be fully investigated, the vision and key elements of the 6th generation (6G) ecosystem have already come into discussion. In order to contribute to these efforts and delineate the security and privacy aspects of 6G networks, we survey how security may impact the envisioned 6G wireless systems with the possible challenges and potential solutions. Especially, we discuss the security and privacy challenges that may emerge with the 6G requirements, novel network architecture, applications and enabling technologies including distributed ledger technologies, physical layer security, distributed artificial intelligence (AI)/ machine learning (ML), Visible Light Communication (VLC), THz bands, and quantum communication

With the recent advancements in sensor and communication technologies, the world is facing a digital transition where nearby environments are intelligent enough to provide user-intended services without using any hand-held gadgets. This article proposes applying a three-tier communication and service architecture for such gadget-free environment, identifies its potential vulnerabilities and proposes a corresponding threetier security mechanism for enabling secure access to the gadgetfree digital services.

The widespread Internet of Things (IoT) ecosystems empower the deployment of various Bluetooth Low Energy (BLE) sensor nodes in many ambient assisted living (AAL) type applications. Regardless of their limitations, these low-power IoT sensor nodes need pervasive and secure connections to transfer the aggregated data to the central servers located in remote clouds which will perform further processing and storing functions. The common practice is to use one or multiple dedicated gateways to assist the communication between the sensor and the cloud. This paper presents a mobile-based relay assistance solution for establishing secure end-to-end (E2E) connectivity between lowpower IoT sensors and cloud servers without using a dedicated gateway. za The prototype implementation and the described security features verify the technical readiness of the proposed solution.

Network slicing is one of the key enabling technologies of evolving fifth generation (5G) mobile communication that fulfills multitudes of service demands of 5G networks. Although the concept of network slicing, its deployment scenarios and some security aspects like slice isolation are discussed in detail, key management for network slicing based applications is still not a well-investigated research area. In this paper, we propose a secure keying scheme that is suitable for network slicing architecture when the slices are accessed by the third party applications. Since the secure keying scheme is designed using a multi-party computation mechanism, it ensures the consent of monitored use cases or devices which the data is acquired. We discuss the performance, scalability and security properties of the keying scheme to demonstrate its appropriateness under evolving 5G paradigm.

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