Spectra: Detecting Attacks on In-Vehicle Networks through Spectral Analysis of CAN-Message Payloads

Nowadays, vehicles have complex in-vehicle networks that have recently been shown to be increasingly vulnerable to cyber-attacks capable of taking control of the vehicles, thereby threatening the safety of the passengers. Several countermeasures have been proposed in the literature in response to the arising threats, however, hurdle requirements imposed by the industry is hindering their adoption in practice. In this paper, we propose SPECTRA, a data-driven anomaly-detection mechanism that is based on spectral analysis of CAN-message payloads. SPECTRA does not abide by the strict specifications predefined for every vehicle model and addresses key real-world deployability challenges

Is it really a bonding, an avoidance, or a characteristics choice? An analysis of foreign listing on low versus high investor protection markets

We investigate the difference in the characteristics of firms that cross-list on high versus low investor protection markets. We find that civil law firms that cross-list on common law markets have higher growth rate, larger size and lower turnover pre cross-listing than their counterparts that cross-list on civil law markets. Also, we find that common law firms that cross-list on common law markets are larger and have a lower volume turnover than those that cross-list on civil law markets. Both groups experience a significant increase in their growth after cross-listing on common law markets. We also report that firms which have poor accounting standards, poor performance, are small in size, and from civil law countries are likely to cross-list on the US unregulated exchanges

Predicting Fire Alarms in Smoke Detection using Neural Networks

Abstract: This research paper presents the development and evaluation of a neural network-based model for predicting fire alarms in smoke detection systems. Using a dataset from Kaggle containing 15 features and 3487 samples, we trained and validated a neural network with a three-layer architecture. The model achieved an accuracy of 100% and an average error of 0.0000003. Additionally, we identified the most influential features in predicting fire alarms

The Facebook policy uses : injustice frame and logics of mobilizations : the case of the page the Syrian revolution 2011

L'usage politique d'Internet et des réseaux socionumériques (RSN) ne cesse d'augmenter depuis plus d'une décennie. Le recours à des réseaux tels que Facebook, Youtube, Twitter, Skype, Instagram etc., se manifeste comme un passage obligatoire, tant pour les acteurs politiques que pour les citoyens « ordinaires ». La présente recherche retrace l'usage politique et les logiques de mobilisation et de la production de parole politique sur les RSN dans le contexte de la crise syrienne en 2011. Elle questionne, à travers l'analyse de cas de la page The Syrian Revolution 2011, les possibilités que ces RSN offrent aux usagers dans l'instauration d'espaces de mobilisations et d'interactions collectives. Notre analyse s'est organisée pour couvrir deux périodes : la première s'étale de 18 janvier au 14 mars 2011, quant à la seconde, elle s'étend du 15 mars au 30 avril 2011. Ce découpage permet de comprendre le passage d'un mode opératoire à un autre en fonction du changement du contexte politique et de la dégradation de la situation dramatique en Syrie. Notre recherche question également la place de la discussion politique en ligne dans l'élaboration des cadres d'action collective. Elle montre que ces derniers sont, activés, adoptés et diffusés à travers des logiques propres aux pratiques sociotechniques offertes par les RSN. Ainsi, notre étude peut apporter une contribution, nous l'espérons, originale dans le champ de l'analyse des RSN. Elle montre comment ces derniers peuvent constituer un espace de mobilisation d'information à travers duquel les usagers peuvent développer différentes pratiques communicationnelles.During the last decade, the political use of the Internet and Social Network Sites (SNS) has tremendously increased. Using networks such as Facebook, Youtube, Twitter, Skype, Instagram, etc., has become a must for both political actors and ordinary citizens. Using as a framework the Syrian crisis in 2011, this research will follow the evolution of the political use of SNS in addition to the logics of mobilization and the production of the political speech in these networks. Through the analysis of the Facebook Page the Syrian Revolution 2011, it will question the possibilities that these SNS provide to the users to create mobilizations spaces and collective interaction. Our analysis covered two periods of time: the first one from January 18th to March 14th 2011, and the second from March 15th to April 30th 2011. This will help us better understand the change from one operational mode to another based on the change of the political context and on the degradation of the dramatic situation in Syria. Our research questions the place of the political discussion online and its parts on the creation of collective actions frames. It shows that these frames are activated, adopted and spread in ways that are specific to the social and technical practices provided by the SNS. From this perspective, we hope that our study can bring an original contribution in the analysis of the SNS field. It shows how these networks can be an area for mobilization of information that would help users develops various communication practices

Is it really a bonding, an avoidance, or a characteristics choice? An analysis of foreign listing on low versus high investor protection markets

We investigate the difference in the characteristics of firms that cross-list on high versus low investor protection markets. We find that civil law firms that cross-list on common law markets have higher growth rate, larger size and lower turnover pre cross-listing than their counterparts that cross-list on civil law markets. Also, we find that common law firms that cross-list on common law markets are larger and have a lower volume turnover than those that cross-list on civil law markets. Both groups experience a significant increase in their growth after cross-listing on common law markets. We also report that firms which have poor accounting standards, poor performance, are small in size, and from civil law countries are likely to cross-list on the US unregulated exchanges

Obesity and symptoms of depression among adults in selected countries of the Middle East: a systematic review and meta-analysis.

Although obesity has been widely recognized for its consequences on physical health, its psychological burden in the adult populations in the Middle East remains unclear. This meta-analysis synthesized data from observational studies to investigate the association between obesity and depression among adult populations in Middle Eastern countries. Five bibliographical electronic databases were searched for studies published up to April 2014. Pooled meta-analytic estimates were derived using the random-effect models. Three case-control studies and five cross-sectional studies were identified. Meta-analysis showed significant positive associations between obesity and depression across study designs, with an overall effect of odds ratio 1.27 (95% confidence interval 1.11-1.44). The association between obesity and depression was more marked in women than men although that difference was not statistically significant. Other subgroup analysis showed that none of the potential factors including the assessment for obesity or depression, confounder control and study quality had a modification effect on the studied association. Meta-analysis of eight observational studies from five countries in the Middle East suggests an evidence of a positive association between obesity and depression among adult populations, which appeared to be more marked among women. Future research should examine the causal pathways between obesity and depression.FLWNASCOPUS: ar.jSCOPUS: ar.jinfo:eu-repo/semantics/publishe

Body mass index and psychological distress among Lebanese University students: examining the moderating effect of gender

Studies investigating the association between body mass index (BMI) and psychological distress (PD) have shown contradictory results. The present study examined the relationship between BMI and PD among Lebanese university students and tested its moderation by gender. A cross-sectional study was conducted using a proportionate cluster sampling of university students. Data concerning socio-demographic characteristics, body weight and height, tobacco consumption, physical activity, presence of chronic diseases and self-rated global health were collected. PD was assessed using Beirut Distress Scale (BDS-22). Students were classified as underweight (BMI 30 kg/m2). The association between BMI and BDS-22 differed by gender (p-value for interaction: 02). Being overweight was inversely associated with BDS-22 for females only (adjusted OR .5, 95% CI: 4–.8, p-value .02). Neither obesity nor underweight was associated with PD for both genders.SCOPUS: ar.jinfo:eu-repo/semantics/publishe