Intrinsic Secrecy in Inhomogeneous Stochastic Networks

Chisci, Giovanni; Conti, Andrea; Mucchi, Lorenzo; Win, Moe Z.

doi:10.1109/tnet.2019.2911126

Cited by 5 publications

(4 citation statements)

References 66 publications

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“…The large amount of the world data collected by networks of sensors (environmental, human-body, etc.) and the mobility features of most scenarios ask for advanced security techniques that take into account new constraints in terms of device capabilities, network environment and network dynamic topology [33]. PLS, moving the security strategy at physical layer, might be one of the confidentiality enablers in 6G connectivity.…”

Section: A Pls For Low-resourced Devicesmentioning

confidence: 99%

Physical Layer Security for 6G Networks

2024

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The sixth generation (6G) of mobile network will be composed by different nodes, from macro-devices (satellite) to nano-devices (sensors inside the human body), providing a full connectivity fabric all around us. These heterogeneous nodes constitute an ultra dense network managing tons of information, often very sensitive. To trust the services provided by such network, security is a mandatory feature by design. In this scenario, physical-layer security (PLS) can act as a first line of defense, providing security even to low-resourced nodes in different environments. This paper discusses challenges, solutions and visions of PLS in beyond-5G networks.

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Section: A Pls For Low-resourced Devicesmentioning

confidence: 99%

Physical Layer Security for 6G Networks

2024

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“…In [19], subchannel assignment and power allocation are jointly analyzed to maximize secrecy performance in a two tier HCN. Chisci et al discussed intrinsic secrecy in a inhomogeneously spatial distributed heterogeneous network [20]. While these works provide valuable insights on secrecy performance in HCNs, the common assumptions are that users are assigned to strongest BSs(referred to as max-SINR association hereinafter), and eavesdroppers are of a single type: they are noncolluding and are overhearing all legitimate transmissions at all times.…”

Section: Related Work and Motivationmentioning

confidence: 99%

Secrecy‐oriented user association in ultra dense heterogeneous networks against strategically colluding adversaries

Dai

Chen

et al. 2022

IET Communications

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Network densification is recognized as the key technology to meet the ever growing demand of data traffic in next generation wireless networks. However the proliferation of small cell base stations (SCBSs) introduces vulnerabilities to information security, as they are prone to eavesdropping attacks. In this paper, it is studied how user association strategies can be specifically tailored to meet this security challenge in a ultra dense heterogeneous cellular network(UDHCN) with a group of colluding eavesdroppers. In particular, the situation is considered where eavesdroppers may have limited capabilities in intercepting and decoding data traffic. In this setting each eavesdropper has to make its own decision on eavesdropping targets, and they are able to take concerted actions to sabotage information security. To address this challenge, a zero sum game framework to reflect the conflicting interests of users and eavesdroppers is proposed and a user association scheme is devised that aims to maximize system sum secrecy rate against these adversaries whose actions intend to minimize sum secrecy rate. The case that all adversaries have limited eavesdropping capabilities is first considered, and it is shown that the corresponding zero sum game is indeed a bilinear game, and its Nash equilibrium solution can be readily approximated using a saddle point Frank Wolfe(SP-FW)algorithm. Then the framework is extended to the case where adversaries with a diverse configuration of eavesdropping capabilities exist. In this case, it is shown that the underlying minimax optimization problem is indeed a nonsmooth convex-nonconcave one. A two stage method is proposed by first smoothing the objective function with a Hermite cubic polynomial approximation, and then obtaining a nearly stationary solution via a recently proposed proximal point gradient descent method. Simulation results show that the proposed framework leads to significant increases in sum secrecy rate and secrecy probability against both the capability-limited adversaries and a hybrid type of adversaries.

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“…The large amount of the world data collected by networks of sensors (environmental, human-body, etc.) and the mobility features of most scenarios ask for advanced security techniques that take into account new constraints in terms of device capabilities, network environment and network dynamic topology [34]. PLS, moving the security strategy at physical layer, might be one of the confidentiality enablers in 6G connectivity.…”

Section: A Pls For Low-resourced Devicesmentioning

confidence: 99%