In this paper, we consider to seek vulnerabilities and we conduct possible attacks on the crucial and essential parts of Android OSs architecture including the framework and the Android kernel layers. As a regard, we explain the Binder component of Android OS from security point of view. Then, we demonstrate how to penetrate into the Binder and control data exchange mechanism in Android OS by proposing a kernel level attack model based on the hooking method. In addition, we provide a method to detect these kinds of attacks on Android frameworks and the kernel layer. As a result, by implementing the attack model, it is illustrated that the Android processes are detectable and the data can be extracted from any process and system calls. On the other hand, by using our detection proposed method the possibility of using this attack approach in the installed applications on the Android smartphones will be sharply decreased.

IL-32 and TNFaare important cytokines in autoimmune and inflammatory diseases. IL-32 has not been previously studied with respect to MS. Here, we report IL-32 and TNFa transcript levels in peripheral blood mononuclear cells of MS patients and control individuals by real time PCR. A significant difference inIL-32 and TNFa mRNA levels of patients as compared to controls was not observed. However, patients with more recent attacks had highly significant increased levels ofIL-32mRNAs. As the sample size was small, this potentially relevant preliminary observation needs to be corroborated using a larger number of patients with well defined clinical features.

Background: Previous literatures have shown a transient ischemic attack (TIA) mimic rate of 9-31%. We aimed to ascertain the proportion of stroke mimics amongst suspected TIA patients.Methods: A prospective observational study was performed in Ghaem Hospital, Mashhad, Iran during 2012-2013. Consecutive TIA patients were identified in a stroke center.The initial diagnosis of TIA was made by the resident of neurology and final diagnosis of true TIA versus TIA mimics was made after 3 months follow-up by stroke subspecialist.Results: A total of 310 patients were assessed during a 3-month period of which 182 (58.7%) subjects were male and 128 (41.3%) were female. Ten percent of the patients was categorized as a TIA mimic. The presence of hypertension, aphasia, duration of symptoms, and increased age was the strongest predictor of a true TIA. Migraine was the most common etiology of stroke mimic in our study.Conclusion: It seems that many signs and symptoms have low diagnostic usefulness for discrimination of true TIA from non-cerebrovascular events and predictive usefulness of any sign or symptom should be interpreted by a stroke neurologist.

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 introduces a new issue named attack-aware CSS where the objective is to analyze the occurred attack against CR network to ameliorate the performance of data fusion schemes. The novelty includes the modification of Weighted Sequential Probability Ratio Test (WSPRT) algorithm which resulted in attack-Aware WSPRT (A2WSPRT). The findings indicated considerable reduction in cooperation overhead and enhancement in correct sensing ratio, especially in severe attacks.