Cooperative Spectrum Sensing (CSS) is an effective approach to overcome the impact of multi-path fading and shadowing issues. The reliability of CSS can be severely degraded under Byzantine attack, which may be caused by either malfunctioning sensing terminals or malicious nodes. Almost, the previous studies have not analyzed and considered the attack in their models. The present study introduc...

Integrated sensing and communication is a novel paradigm using crowdsensing spectrum sensors to help with the management of scarcity. However, well-known vulnerabilities resource-constrained possibility being manipulated by users physical access complicate their protection against data falsification (SSDF) attacks. Most recent literature suggests behavioral fingerprinting Machine/Deep Learning ...

OBJECTIVE To assess Mexico City physicians' knowledge and practices regarding cervical cancer and human papillomavirus (HPV) to compare obstetricians/gynecologists (ob/gyns) and general practitioners (GPs) on these variables. MATERIAL AND METHODS In April 2003, 187 ob/gyns and GPs working in 15 hospitals affiliated with the Federal District Secretary of Health (SSDF) completed a self-administ...

In cognitive radio communication, spectrum sensing plays a vital role in sensing the existence of the primary user (PU). The sensing performance is badly affected by fading and shadowing in case of single secondary user(SU). To overcome this issue, cooperative spectrum sensing (CSS) is proposed. Although the reliability of the system is improved with cooperation but existence of malicious user ...

This work presents the performance and stability analysis of proposed built-in self-read write assist 10T SRAM (BSRWA 10T) for better in terms thermal fast access, which is suitable military aerospace applications. The cell dominates previous cells, i.e., conventional, fully differential 10T-ST (FD 10T-ST), single stacked disturbance-free 9T-ST (SSDF 9T-ST). SSDF ability. structure memory also ...

Device fingerprinting combined with Machine and Deep Learning (ML/DL) report promising performance when detecting spectrum sensing data falsification (SSDF) attacks. However, the amount of needed to train models scenario privacy concerns limit applicability centralized ML/DL. Federated learning (FL) addresses these drawbacks but is vulnerable adversarial participants The literature has proposed...

recently, baghery et al. [1, 2] presented some attacks on two rfid protocols, namely yoon and jung et al. protocols, and proposed the improved version of them. however, in this note, we show that the improved version of the jung et al. protocol suffers from desynchronization attack and the improved version of the yoon's protocol suffers from secret disclosure attack. the success probabilit...