In today’s world, information security is a trending as well as a crucial topic for both individuals and organizations. Cyber attacks cause financial loss for businesses with data breaches and production loss. Data breaches can result in loss of reputation, reduced customer loyalty, and fines. Also due to cyber attacks, business continuity is affected so that organizations cannot provide continuous production. Therefore, organizations should reduce cyber risks by managing their information security. For this purpose, they may use ISO/IEC 27001 Information Security Management Standard. ISO/IEC 27001:2013 includes 114 controls that are in both technical and organizational level. However, in the practice of security management, individuals’ information security behavior could be underestimated. Herein, technology alone cannot guarantee the safety of information assets in organizations, thereby a range of human aspects should be taken into consideration. In this study, the importance of security behavior with respect to ISO/IEC 27001 information security management implementation is presented. The present study extensively analyses the data collected from a survey of 630 people. The results of reliability measures and confirmatory factor analysis support the scale of the study.
MULTIFILE
The sense of safety and security of older people is a widely acknowledged action domain for policy and practice in age-friendly cities. Despite an extensive body of knowledge on the matter, the theory is fragmented, and a classification is lacking. Therefore, this study investigated how older people experience the sense of safety and security in an age-friendly city. A total of four focus group sessions were organised in The Hague comprising 38 older people. Based on the outcomes of the sessions, the sense of safety and security was classified into two main domains: a sense of safety and security impacted by intentional acts and negligence (for instance, burglary and violence), and a sense of safety and security impacted by non-intentional acts (for instance, incidents, making mistakes online). Both domains manifest into three separate contexts, namely the home environment, the outdoor environment and traffic and the digital environment. In the discussions with older people on these derived domains, ideas for potential improvements and priorities were also explored, which included access to information on what older people can do themselves to improve their sense of safety and security, the enforcement of rules, and continuous efforts to develop digital skills to improve safety online. Original article at MDPI; DOI: https://doi.org/10.3390/ijerph19073960
MULTIFILE
Computer security incident response teams (CSIRTs) respond to a computer security incident when the need arises. Failure of these teams can have far-reaching effects for the economy and national security. CSIRTs often have to work on an ad hoc basis, in close cooperation with other teams, and in time constrained environments. It could be argued that under these working conditions CSIRTs would be likely to encounter problems. A needs assessment was done to see to which extent this argument holds true. We constructed an incident response needs model to assist in identifying areas that require improvement. We envisioned a model consisting of four assessment categories: Organization, Team, Individual and Instrumental. Central to this is the idea that both problems and needs can have an organizational, team, individual, or technical origin or a combination of these levels. To gather data we conducted a literature review. This resulted in a comprehensive list of challenges and needs that could hinder or improve, respectively, the performance of CSIRTs. Then, semi-structured in depth interviews were held with team coordinators and team members of five public and private sector Dutch CSIRTs to ground these findings in practice and to identify gaps between current and desired incident handling practices. This paper presents the findings of our needs assessment and ends with a discussion of potential solutions to problems with performance in incident response. https://doi.org/10.3389/fpsyg.2017.02179 LinkedIn: https://www.linkedin.com/in/rickvanderkleij1/
MULTIFILE
Despite the benefits of the widespread deployment of diverse Internet-enabled devices such as IP cameras and smart home appliances - the so-called Internet of Things (IoT) has amplified the attack surface that is being leveraged by cyber criminals. While manufacturers and vendors keep deploying new products, infected devices can be counted in the millions and spreading at an alarming rate all over consumer and business networks. The objective of this project is twofold: (i) to explain the causes behind these infections and the inherent insecurity of the IoT paradigm by exploring innovative data analytics as applied to raw cyber security data; and (ii) to promote effective remediation mechanisms that mitigate the threat of the currently vulnerable and infected IoT devices. By performing large-scale passive and active measurements, this project will allow the characterization and attribution of compromise IoT devices. Understanding the type of devices that are getting compromised and the reasons behind the attacker’s intention is essential to design effective countermeasures. This project will build on the state of the art in information theoretic data mining (e.g., using the minimum description length and maximum entropy principles), statistical pattern mining, and interactive data exploration and analytics to create a casual model that allows explaining the attacker’s tactics and techniques. The project will research formal correlation methods rooted in stochastic data assemblies between IoT-relevant measurements and IoT malware binaries as captured by an IoT-specific honeypot to aid in the attribution and thus the remediation objective. Research outcomes of this project will benefit society in addressing important IoT security problems before manufacturers saturate the market with ostensibly useful and innovative gadgets that lack sufficient security features, thus being vulnerable to attacks and malware infestations, which can turn them into rogue agents. However, the insights gained will not be limited to the attacker behavior and attribution, but also to the remediation of the infected devices. Based on a casual model and output of the correlation analyses, this project will follow an innovative approach to understand the remediation impact of malware notifications by conducting a longitudinal quasi-experimental analysis. The quasi-experimental analyses will examine remediation rates of infected/vulnerable IoT devices in order to make better inferences about the impact of the characteristics of the notification and infected user’s reaction. The research will provide new perspectives, information, insights, and approaches to vulnerability and malware notifications that differ from the previous reliance on models calibrated with cross-sectional analysis. This project will enable more robust use of longitudinal estimates based on documented remediation change. Project results and methods will enhance the capacity of Internet intermediaries (e.g., ISPs and hosting providers) to better handle abuse/vulnerability reporting which in turn will serve as a preemptive countermeasure. The data and methods will allow to investigate the behavior of infected individuals and firms at a microscopic scale and reveal the causal relations among infections, human factor and remediation.
