Titlebook: Attacks and Defenses for the Internet-of-Things; 5th International Wo Wenjuan Li,Steven Furnell,Weizhi Meng Conference proceedings 2022 The

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溫室

,Evolving a?Boolean Masked Adder Using Neuroevolution, performance, masking their implementations results in a huge penalty. Since efficient protection against side-channel attacks is a requirement in lots of use cases, we focus on optimizing the Boolean masking of the modular addition. Contrary to recent related work, we target evolving a masked full

JADED

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extble performance in detecting attacks. However, the lack of transparency in their decision-making process and the scarcity of attack data for training purposes pose a major challenge for the development of ML-based IDS systems for Internet of Things (IoT). Therefore, employing anomaly detection metho

孤獨(dú)無助

,Constraints and?Evaluations on?Signature Transmission Interval for?Aggregate Signatures with?Interanerated invalid signatures in the case an aggregate signature is detected as invalid. In existing FT-AS schemes (whose tracing functionality requires multi-rounds), a verifier needs to send a feedback to an aggregator for efficiently tracing the invalid signer(s). However, in practice, if this feedb

威脅你

Post-quantum Secure Communication with IoT Devices Using Kyber and SRAM Behavioral and Physical Unc crucial. Authenticated key exchange protocols establish shared cryptographic keys between the parties and, in addition, authenticate their identities. Usually, the identities are based on a pair of private and public keys. Physical Unclonable Functions (PUFs) are widely used recently to bind physic

參考書目

,Effective Segmentation of?RSSI Timeseries Produced by?Stationary IoT Nodes: Comparative Study,e profiling for the purpose of authentication, localization, and physical security perimeter monitoring. Previous research on the use of RSSI-based wireless node profiling assumes that RSSI timeseries are stationary and independent identically distributed (i.i.d.). Unfortunately, in real-world envir

任意

,Consumer-Friendly Methods for?Privacy Protection Against Cleaning Robots, as the “privacy paradox” phenomenon states, consumers behave differently even if many claim to be concerned about smart robot privacy issues. In this paper, we describe our attempt to discover effective measures for average consumers to guard against potential privacy intrusions by cleaning robots.

headway

,Resource Efficient Federated Deep Learning for?IoT Security Monitoring,ge devices. A disadvantage of the FL paradigm is the requirement of many communication rounds before model convergence. As a result, there is a challenge for running on-device FL with resource-hungry algorithms such as Deep Neural Network (DNN), especially in the resource-constrained Internet of Thi

身體萌芽

Man-in-the-OBD: A Modular, Protocol Agnostic Firewall for Automotive Dongles to Enhance Privacy andinterface. Due to the lack of message authentication mechanisms, this leads to major security vulnerabilities for example regarding the connection with malicious devices. Therefore, we apply a modular, protocol-independent firewall approach by placing a man-in-the-middle between the third-party dong

解脫

Mapping the Security Events to the MITRE ATT &CK Attack Patterns to Forecast Attack Propagation (Exevent correlation techniques intended for the detection of cyber security incidents and different types of cyber attacks, as well as there are a lot of techniques for multi-step attack modeling. At the same time, most modern security event management solutions do not allow mapping the detected secur