Optimal experts' knowledge selection for intelligent driving risk detection systems

2012 ◽  
Author(s):  
Isaac Martin de Diego ◽  
Oscar S. Siordia ◽  
Cristina Conde ◽  
Enrique Cabello
Keyword(s):  
Detection Systems ◽  
Risk Detection ◽  
Driving Risk ◽  
Selection For

A wrapper-based feature selection for improving performance of intrusion detection systems

2020 ◽  
Vol 33 (12) ◽  
pp. e4434 ◽  
Author(s):  
Maryam Samadi Bonab ◽  
Ali Ghaffari ◽  
Farhad Soleimanian Gharehchopogh ◽  
Payam Alemi
Keyword(s):  
Feature Selection ◽  
Intrusion Detection ◽  
Intrusion Detection Systems ◽  
Detection Systems ◽  
Selection For

scholarly journals Detecting and Defending Against Seizure-Inducing GIFs in Social Media

2021 ◽  
Author(s):  
Laura South ◽  
David Saffo ◽  
Michelle Borkin
Keyword(s):  
Social Media ◽  
Chronic Condition ◽  
Detection Systems ◽  
Risk Detection ◽  
Social Media Platforms ◽  
Light Stimuli ◽  
Design Requirements ◽  
Photosensitive Epilepsy ◽  
Current Risk ◽  
Protective Systems

Despite recent improvements in online accessibility, the Internet remains an inhospitable place for users with photosensitive epilepsy, a chronic condition in which certain light stimuli can trigger seizures and even lead to death in extreme cases. In this paper, we explore how current risk detection systems have allowed attackers to take advantage of design oversights and target vulnerable users with photosensitivity on popular social media platforms. Through interviews with photosensitive individuals and a critical review of existing systems, we constructed design requirements for consumer-driven protective systems and developed a prototype browser ex-tension for actively detecting and disarming potentially seizure-inducing GIFs and videos. We validate our system with a comprehensive dataset of simulated GIFs and GIFs collected from social media. Finally, we conduct a novel quantitative analysis of the prevalence of seizure-inducing GIFs across popular social mediaplatforms and contribute recommendations for improving online accessibility for individuals with photosensitivity. All study materialsare available at https://osf.io/5a3dy/.

Unerwartete Unternehmensinsolvenz trotz testiertem Risikomanagement? – Lessons Learned aus der Insolvenz der Gerry Weber International AG

2020 ◽  
Vol 61 (3) ◽  
pp. 139-154
Author(s):  
Werner Gleißner ◽  
Kay H. Hofmann
Keyword(s):  
Annual Report ◽  
Detection System ◽  
Lessons Learned ◽  
Legal Requirements ◽  
External Auditors ◽  
Detection Systems ◽  
Risk Detection ◽  
Early Risk ◽  
Management Procedures ◽  
Risk Aggregation

Summary Studies show that the implemented and certified early risk detection systems in practice are often unable to identify developments that could jeopardize a company’s existence. This is due to methodological weaknesses, e.g. insufficient consideration of the liquidity effect of risks, the lack of analysis of extreme risks and, in particular, the absence of adequate risk aggregation that considers interdependencies and hence combination effects of risks. In many recent insolvencies, among them the here investigated case of Gerry Weber International AG, it is easy to see that the early risk detection system, as explained in the Annual Report, has not fulfilled the legal requirements. In order to avoid such „unexpected insolvencies“, it is necessary to implement advanced risk management procedures and pursue audits that are more rigorous. The article at hand develops a concise but comprehensive assessment scheme that may not only be easily applied within companies but also by external auditors. Zusammenfassung Die meisten börsennotierten Gesellschaften haben ein Risikofrüherkennungssystem, das vom Abschlussprüfer ohne den Verweis auf schwerwiegende Mängel testiert wird. Tatsächlich zeigen Studien, dass die in der Praxis implementierten Systeme häufig ungeeignet sind, um an sich erkennbare bestandsgefährdende Entwicklungen zu identifizieren. Dies liegt an methodischen Schwächen, z. B. an einer fehlenden Betrachtung der Liquiditätswirkung von Risiken, einer vernachlässigten Analyse von Extremrisiken und insb. am Fehlen einer Risikoaggregation, die auch Kombinationseffekte berücksichtigt. Bei Insolvenzen, wie hier im Beispiel von Gerry Weber, lässt sich bei Betrachtung des dokumentierten Risikomanagementsystems erkennen, dass die gesetzlichen Anforderungen nicht erfüllt wurden. Um solche „überraschenden Insolvenzen“ zu vermeiden, ist es erforderlich, bessere Verfahren zu implementieren und durch Prüfer testieren zu lassen, was bisher nicht konsequent geschieht. Der Beitrag schlägt ein einfaches aber umfassendes Prüfschema für Risikofrüherkennungssysteme vor, das sowohl intern als auch von externen Prüfern verwendet werden kann.

Sign in / Sign up

Export Citation Format

Share Document