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Packet Storm News
Packet Storm News
added 2026/03/18 12:0 a.m.2 views

Defending the Power Grid by Segmenting the EV Charging Cyber Infrastructure

This paper examines defending the power grid against load-altering attacks using electric vehicle charging. It proposes to preventively segment the cyber infrastructure that charging station operators CSOs use to communicate with and control their charging stations, thereby limiting the impact of...

5.7AI score
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Packet Storm News
Packet Storm News
added 2025/08/14 12:0 a.m.27 views

Routing and Wavelength Assignment with Minimal Attack Radius for QKD Networks

Quantum Key Distribution QKD can distribute keys with guaranteed security but remains susceptible to key exchange interruption due to physical-layer threats, such as high-power jamming attacks. To address this challenge, we first introduce a novel metric, namely Maximum Number of Affected Request...

6.9AI score
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Packet Storm News
Packet Storm News
added 2025/06/21 12:0 a.m.3 views

Linear and Numerical SDoF Bounds of Active RIS-Assisted MIMO Wiretap Interference Channel

The multiple-input multiple-output MIMO wiretap interference channel IC serves as a canonical model for information-theoretic security, where a multiple-antenna eavesdropper attempts to intercept communications in a two-user MIMO IC system. The secure degrees-of-freedom SDoF of an active...

6.9AI score
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Packet Storm News
Packet Storm News
added 2025/05/30 12:0 a.m.4 views

Hush! Protecting Secrets during Model Training: an Indistinguishability Approach

We consider the problem of secret protection, in which a business or organization wishes to train a model on their own data, while attempting to not leak secrets potentially contained in that data via the model. The standard method for training models to avoid memorization of secret information i...

6.6AI score
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Packet Storm News
Packet Storm News
added 2025/04/29 12:0 a.m.4 views

Bipartite Randomized Response Mechanism for Local Differential Privacy

With the increasing importance of data privacy, Local Differential Privacy LDP has recently become a strong measure of privacy for protecting each user's privacy from data analysts without relying on a trusted third party. In many cases, both data providers and data analysts hope to maximize the...

6.9AI score
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