Rethinking Security Incident Response: The Integration of Agile Principles

In today's globally networked environment, information security incidents can inflict staggering financial losses on organizations. Industry reports indicate that fundamental problems exist with the application of current linear plan-driven security incident response approaches being applied in many organizations. Researchers argue that traditional approaches value containment and eradication over incident learning. While previous security incident response research focused on best practice development, linear plan-driven approaches and the technical aspects of security incident response, very little research investigates the integration of agile principles and practices into the security incident response process. This paper proposes that the integration of disciplined agile principles and practices into the security incident response process is a practical solution to strengthening an organization's security incident response posture.Comment: Paper presented at the 20th Americas Conference on Information Systems (AMCIS 2014), Savannah, Georgi

Enhancing security incident response follow-up efforts with lightweight agile retrospectives

Security incidents detected by organizations are escalating in both scale and complexity. As a result, security incident response has become a critical mechanism for organizations in an effort to minimize the damage from security incidents. The final phase within many security incident response approaches is the feedback/follow-up phase. It is within this phase that an organization is expected to use information collected during an investigation in order to learn from an incident, improve its security incident response process and positively impact the wider security environment. However, recent research and security incident reports argue that organizations find it difficult to learn from incidents. A contributing factor to this learning deficiency is that industry focused security incident response approaches, typically, provide very little practical information about tools or techniques that can be used to extract lessons learned from an investigation. As a result, organizations focus on improving technical security controls and not examining or reassessing the effectiveness or efficiency of internal policies and procedures. An additional hindrance, to encouraging improvement assessments, is the absence of tools and/or techniques that organizations can implement to evaluate the impact of implemented enhancements in the wider organization. Hence, this research investigates the integration of lightweight agile retrospectives and meta-retrospectives, in a security incident response process, to enhance feedback and/or follow-up efforts. The research contribution of this paper is twofold. First, it presents an approach based on lightweight retrospectives as a means of enhancing security incident response follow-up efforts. Second, it presents an empirical evaluation of this lightweight approach in a Fortune 500 Financial organization's security incident response team

Security Incident Response Criteria: A Practitioner's Perspective

Industrial reports indicate that security incidents continue to inflict large financial losses on organizations. Researchers and industrial analysts contend that there are fundamental problems with existing security incident response process solutions. This paper presents the Security Incident Response Criteria (SIRC) which can be applied to a variety of security incident response approaches. The criteria are derived from empirical data based on in-depth interviews conducted within a Global Fortune 500 organization and supporting literature. The research contribution of this paper is twofold. First, the criteria presented in this paper can be used to evaluate existing security incident response solutions and second, as a guide, to support future security incident response improvement initiatives

Medical Cyber-Physical Systems Development: A Forensics-Driven Approach

The synthesis of technology and the medical industry has partly contributed to the increasing interest in Medical Cyber-Physical Systems (MCPS). While these systems provide benefits to patients and professionals, they also introduce new attack vectors for malicious actors (e.g. financially-and/or criminally-motivated actors). A successful breach involving a MCPS can impact patient data and system availability. The complexity and operating requirements of a MCPS complicates digital investigations. Coupling this information with the potentially vast amounts of information that a MCPS produces and/or has access to is generating discussions on, not only, how to compromise these systems but, more importantly, how to investigate these systems. The paper proposes the integration of forensics principles and concepts into the design and development of a MCPS to strengthen an organization's investigative posture. The framework sets the foundation for future research in the refinement of specific solutions for MCPS investigations.Comment: This is the pre-print version of a paper presented at the 2nd International Workshop on Security, Privacy, and Trustworthiness in Medical Cyber-Physical Systems (MedSPT 2017

On the enhancement of data quality in security incident response investigations

Security incidents detected by information technology-dependent organisations are escalating in both scale and complexity. As a result, security incident response has become a critical mechanism for organisations in an effort to minimise the damage from security incidents. To help organisations develop security incident response capabilities, several security incident response approaches and best practice guidelines have been published in both industry and academia. The final phase within many of these approaches and best practices is the ‘feedback’ or ‘follow-up’ phase. Within this phase, it is expected that an organisation will learn from a security incident and use this information to improve its overall information security posture. However, researchers have argued that many organisations tend to focus on eradication and recovery instead of learning from a security incident. An exploratory case study was undertaken in a Fortune 500 Organisation to investigate security incident learning in practice within organisations. At a high-level, the challenges and problems identified from the case study suggests that security incident response could benefit from improving the quality of data generated from and during security investigations. Therefore, the objective of this research was to improve the quality of data in security incident response, so that organisations can develop deeper insights into security incident causes and to assist with security incident learning. A supplementary challenge identified was the need to minimise the time-cost associated with any changes to organisational processes. Therefore, several lightweight measures were created and implemented within the case study organisation. These measures were evaluated in a series of longitudinal studies that collected both quantitative and qualitative data from the case study organisation

Introduction to Security and Privacy Challenges for Healthcare Minitrack

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In-the-wild residual data research and privacy

As the world becomes increasingly dependent on technology, researchers endeavor to understand how technology is used, the impact it has on everyday life and the life-cycle and span of digital information. In doing so, researchers are increasingly gathering `real-world' or `in the wild' residual data, obtained from a variety of sources without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and disposal. This paper surveys recent studies of residual data gathered in the wild and analyses the challenges that were faced. Taking these insights, the paper presents a compendium of practices for addressing the issues that arise in in the wild residual data research. The practices presented in this paper can be used to critique current projects and assess the feasibility of proposed future research

Security Incident Response Criteria: A Practitioner\u27s Perspective

Industrial reports indicate that security incidents continue to inflict large financial losses on organizations. Researchers and industrial analysts contend that there are fundamental problems with existing security incident response process solutions. This paper presents the Security Incident Response Criteria (SIRC) which can be applied to a variety of security incident response approaches. The criteria are derived from empirical data based on in-depth interviews conducted within a Global Fortune 500 organization and supporting literature. The research contribution of this paper is twofold. First, the criteria presented in this paper can be used to evaluate existing security incident response solutions and second, as a guide, to support future security incident response improvement initiatives

How Good is Your Data? Investigating the Quality of Data Generated During Security Incident Response Investigations

An increasing number of cybersecurity incidents prompts organizations to explore alternative security solutions, such as threat intelligence programs. For such programs to succeed, data needs to be collected, validated, and recorded in relevant datastores. One potential source supplying these datastores is an organization’s security incident response team. However, researchers have argued that these teams focus more on eradication and recovery and less on providing feedback to enhance organizational security. This prompts the idea that data collected during security incident investigations may be of insufficient quality for threat intelligence analysis. While previous discussions focus on data quality issues from threat intelligence sharing perspectives, minimal research examines the data generated during incident response investigations. This paper presents the results of a case study identifying data quality challenges in a Fortune 500 organization’s incident response team. Furthermore, the paper provides the foundation for future research regarding data quality concerns in security incident response