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jaidane, Emna, Hamdi, Mohamed, Aguili, Taoufik, Kim, Tai-hoon.  2019.  A new vehicular blackbox architecture based on searchable encryption. 2019 15th International Wireless Communications Mobile Computing Conference (IWCMC). :1073–1078.
Blackboxes are being increasingly used in the vehicular context to store and transmit information related to safety, security and many other applications. The plethora of sensors available at the different parts of the vehicle can provide enriched gathering of the data related to these applications. Nonetheless, to support multiple use cases, the blackbox must be accessible by various actors (e.g. vehicle owner, insurance company, law enforcement authorities). This raises significant challenges regarding the privacy of the data collected and stored in the blackbox. In fact, these data can often lead to tracing back accurate facts about the behaviour of the owner of the vehicle. To cope with this problem, we propose a new blackbox architecture supporting searchable encryption. This feature allows multiple users who are not able to decipher the content of the blackbox to validate properties such as path traceback and velocity. To illustrate the implementation of the proposed technique in practice, we discuss a case study related to post-accident processing by insurance companies.
Yang, Yunxue, Ji, Guohua, Yang, Zhenqi, Xue, Shengjun.  2019.  Incentive Contract for Cybersecurity Information Sharing Considering Monitoring Signals. 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). :507–512.
Cyber insurance is a viable method for cyber risk transfer. However, the cyber insurance faces critical challenges, the most important of which is lack of statistical data. In this paper, we proposed an incentive model considering monitoring signals for cybersecurity information haring based on the principal-agent theory. We studied the effect of monitoring signals on increasing the rationality of the incentive contract and reducing moral hazard in the process of cybersecurity information sharing, and analyzed factors influencing the effectiveness of the incentive contract. We show that by introducing monitoring signals, the insurer can collect more information about the effort level of the insured, and encourage the insured to share cybersecurity information based on the information sharing output and monitoring signals of the effort level, which can not only reduce the blindness of incentive to the insured in the process of cybersecurity information sharing, but also reduce moral hazard.
Zalozhnev, Alexey Yu., Andros, Denis A., Ginz, Vasiliy N., Loktionov, Anatoly Eu..  2019.  Information Systems and Network Technologies for Personal Data Cyber Security in Public Health. 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC). :1–5.
The article focuses on Personal Data Cyber Security Systems. These systems are the critical components for Health Information Management Systems of Public Health enterprises. The purpose of this article is to inform and provide the reader with Personal Data Cyber Security Legislation and Regulation in Public Health Sector and enlighten him with the Information Systems that were designed and implemented for Personal Data Cyber Security in Public Health.
McDermott, C. D., Petrovski, A. V., Majdani, F..  2018.  Towards Situational Awareness of Botnet Activity in the Internet of Things. 2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA). :1-8.
The following topics are dealt with: security of data; risk management; decision making; computer crime; invasive software; critical infrastructures; data privacy; insurance; Internet of Things; learning (artificial intelligence).
Feng, S., Xiong, Z., Niyato, D., Wang, P., Leshem, A..  2018.  Evolving Risk Management Against Advanced Persistent Threats in Fog Computing. 2018 IEEE 7th International Conference on Cloud Networking (CloudNet). :1–6.
With the capability of support mobile computing demand with small delay, fog computing has gained tremendous popularity. Nevertheless, its highly virtualized environment is vulnerable to cyber attacks such as emerging Advanced Persistent Threats attack. In this paper, we propose a novel approach of cyber risk management for the fog computing platform. Particularly, we adopt the cyber-insurance as a tool for neutralizing cyber risks from fog computing platform. We consider a fog computing platform containing a group of fog nodes. The platform is composed of three main entities, i.e., the fog computing provider, attacker, and cyber-insurer. The fog computing provider dynamically optimizes the allocation of its defense computing resources to improve the security of the fog computing platform. Meanwhile, the attacker dynamically adjusts the allocation of its attack resources to improve the probability of successful attack. Additionally, to prevent from the potential loss due to attacks, the provider also makes a dynamic decision on the purchases ratio of cyber-insurance from the cyber-insurer for each fog node. Thereafter, the cyber-insurer accordingly determines the premium of cyber-insurance for each fog node. In our formulated dynamic Stackelberg game, the attacker and provider act as the followers, and the cyber-insurer acts as the leader. In the lower level, we formulate an evolutionary subgame to analyze the provider's defense and cyber-insurance subscription strategies as well as the attacker's attack strategy. In the upper level, the cyber-insurer optimizes its premium determination strategy, taking into account the evolutionary equilibrium at the lower-level evolutionary subgame. We analytically prove that the evolutionary equilibrium is unique and stable. Moreover, we provide a series of insightful analytical and numerical results on the equilibrium of the dynamic Stackelberg game.
Poon, W. N., Bennin, K. E., Huang, J., Phannachitta, P., Keung, J. W..  2017.  Cross-Project Defect Prediction Using a Credibility Theory Based Naive Bayes Classifier. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS). :434–441.

Several defect prediction models proposed are effective when historical datasets are available. Defect prediction becomes difficult when no historical data exist. Cross-project defect prediction (CPDP), which uses projects from other sources/companies to predict the defects in the target projects proposed in recent studies has shown promising results. However, the performance of most CPDP approaches are still beyond satisfactory mainly due to distribution mismatch between the source and target projects. In this study, a credibility theory based Naïve Bayes (CNB) classifier is proposed to establish a novel reweighting mechanism between the source projects and target projects so that the source data could simultaneously adapt to the target data distribution and retain its own pattern. Our experimental results show that the feasibility of the novel algorithm design and demonstrate the significant improvement in terms of the performance metrics considered achieved by CNB over other CPDP approaches.

Kim, H., Yoon, J. I., Jang, Y., Park, S..  2017.  Design of heterogeneous integrated digital signature system for ensuring platform independence. 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT). :1–4.

Recently, digital transactions in real estate, insurance, etc. have become popular, and researchers are actively studying digital signatures as a method for distinguishing individuals. However, existing digital signature systems have different methods for making signatures depending on the platform and device, and because they are used on platforms owned by corporations, they have the disadvantage of being highly platform-dependent and having low software extensibility. Therefore, in this paper we have analyzed existing digital signature systems and designed a heterogeneous integrated digital signature system which has per-user contract management features and can guarantee platform independence and increase the ease of software extension and maintenance by using a browser environment.

Potdar, M.S., Manekar, A.S., Kadu, R.D..  2014.  Android #x0022;Health-Dr. #x0022; Application for Synchronous Information Sharing. Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on. :265-269.

Android "Health-DR." is innovative idea for ambulatory appliances. In rapid developing technology, we are providing "Health-DR." application for the insurance agent, dispensary, patients, physician, annals management (security) for annals. So principally, the ample of record are maintain in to the hospitals. The application just needs to be installed in the customer site with IT environment. Main purpose of our application is to provide the healthy environment to the patient. Our cream focus is on the "Health-DR." application meet to the patient regiment. For the personal use of member, we provide authentication service strategy for "Health-DR." application. Prospective strategy includes: Professional Authentications (User Authentication) by doctor to the patient, actuary and dispensary. Remote access is available to the medical annals, doctor affability and patient affability. "Health-DR." provides expertness anytime and anywhere. The application is middleware to isolate the information from affability management, client discovery and transit of database. Annotations of records are kept in the bibliography. Mainly, this paper focuses on the conversion of E-Health application with flexible surroundings.