SCOPE

Cyber-attackers are steadily getting more creative and ambitious in their exploits and causing real-world damage (e.g., the German steel mill hack in 2014, the Ukrainian Power Grid hack in 2015). Proprietary and personally identifiable information are vulnerable to leakage as well (e.g., the Sony hack in 2014, the US Office of Personnel Management in 2014). The Internet of Things (IoT), a platform which allows everything to process information, communicate data, and analyze context opens up new vulnerabilities for both security and privacy. Smart buildings and smart cities, for example, will collect and process data for millions of individuals. Industrial systems, which were never intended to be linked via common protocols, are recognized as suddenly being open to security threats that can limit service availability and possibly cause considerable damage. Autonomous systems allowed to operate with minimal oversight are ripe targets for cyber-attacks. Data stored and processed in confidence in the cloud may be subject to exfiltration, leading to public embarrassment or the exposure of proprietary information.
As cyber-events increase in number and severity, security engineers must incorporate innovative cybersecurity strategies and technologies to safeguard their systems and confidential information. A strategy to address a cybersecurity vulnerability, once identified, must understand the nature of the vulnerability and how to mitigate it. The “security tax” or “privacy tax” (system and service degradation) caused by the implementation of the mitigating security technologies may be so great that the end user bypasses the technologies and processes meant to ensure the system’s security and privacy. A practical reality of the adoption of IoT is that it will require integration of new technologies with existing systems and infrastructure, which will continue to expose new security and privacy vulnerabilities; re-engineering may be required. The human element of IoT, the user, must be considered, and how the user and the IoT system interact to optimize system security and user privacy must be defined. Cyber-attackers and cyber victims are often in different countries, the transnational nature of many cyber-events necessitate the consideration of public policy and legal concerns as well.
This special session aims to showcase new and emerging strategies and technologies for forecasting, mitigating, countering, and attributing cyber-events that threaten security and privacy within the realm of IoT. The institutional benefits of IoT adoption are clear, however security and privacy concerns are constantly coming to light. As organizations—both public and private, large and small—adopt new IoT technologies, we hope that this special session can serve as an opening conversation between government, industry, and academia for the purpose of addressing those concerns.

Topics of Interest

• Honeypots, Honeynets and Honeypatches
• Deception-based approaches
• Encrypted Computing and Secure Computation
• Active and Passive Cybersecurity
• Firmware vetting
• Privacy-Enhancing Technologies
• Intelligence and Counter-Intelligence
• Security and Privacy Engineering

• Cyber-Security and Privacy in Cyber-Physical Systems
• Industrial Internet of Things (IIoT)
• Smart Cities
• Cyber-Physical Power Systems

• Predictive Cyber-Security
• Event Analysis
• Event Attribution and Cyber-Forensics

• Security and Privacy Metrics and Analysis
• Metrics of defense effectiveness
• Quantifying the ‘security/privacy tax’

• Legal and Policy Topics related to Cyber-Security and Privacy
• Human Factors in Cyber-Security and Privacy
• Inter-Organizational Cyber-Threat Information Sharing

• Integration of New Technology into Existing Systems
• Situational Awareness
• System Situational Awareness
• Emerging Threats
• Event Recovery
• Security as a Service (SaaS)
• Private Data as a Service (PDaaS)

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