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Winter 2018 Seminar Series

Cybersecurity: Behavioral and Economic Perspectives

Sponsored by the Computer Science department and the Stanford Cyber Initiative

Once viewed as a merely technical problem, cybersecurity is a complex issue incorporating aspects of economics and human psychology. The social, economic, and behavioral aspects of cyberspace are at the core of what makes it the complex, adaptive system that it is. This seminar series brings together a diverse set of experts from academia and industry, all sharing recent research in topics ranging from usable security, underground economies, human factors, quantitative models of cyber risk.

Mondays 4:30-5:30pm in Y2E2 105

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Schedule: 

Date Speaker Affiliation Talk details
1/8 Marshall Kuypers  Qadium
Predictability in Cyber Systems
Cyber Security is a rapidly evolving domain, where new actors, exploits, and impacts regularly appear. As a result, practitioners often have the perception that modeling cyber security attacks or human failures associated with hacking incidents is difficult because the data are so volatile. Actually, a wide range of cyber related phenomenon are surprisingly consistent, and readily able to be modeled using standard statistical techniques. This talk will present several datasets that show smooth trends in cyber security, which is good news for CISOs, cyber insurers, and researchers. 
1/22 Markus Jakobsson  Agari
Turning the Tables on Cyber Criminals - Combatting BEC with Active Defense
With a 2,370% increase in business email compromise (BEC) attacks in the last two years, cyber criminals are increasing the cadence, sophistication and success of attacks with little risk of being brought to justice. This talk will cover the methods used by the criminals and how their attempts can be identified and blocked. The focus on the presentation will be on a recent initiative to infiltrate criminal organizations, including insights gained from the massive quantities of data obtained by doing this. 
1/29 Bruce Schneier  Harvard Security in a Hyper-Connected Society
2/5 Lior Gavish Barracuda
From Blacklisting to AI – New Approach to Preventing Social Engineering
Social engineering is an increasing threat on businesses, costing over $5B in stolen funds over the last 3 years. We will discuss the tactics used by cyber criminals, and the methods traditionally employed by security systems to stop them, mainly blacklisting. We will explain why blacklisting is largely ineffective in today’s landscape, and offer a revolutionary approach based on anomaly detection to identify social engineering attacks in real-time.
Lior Gavish is VP of Engineering, Email Security at Barracuda Networks, where he builds the company’s next generation email security and fraud detection solutions. Lior was previously VP of Engineering and co-founder of Sookasa, a cloud storage security startup (acquired by Barracuda). Prior to that, Lior led startup engineering teams building machine learning, web and mobile technologies. Lior holds a BSc and MSc in Computer Science from Tel-Aviv University, and an MBA from Stanford University.
2/12 Joe Bonneau NYU The post-Snowden era has seen a surge of interest in end-to-end encrypted communications as a technical safeguard against mass surveillance. This talk will discuss both technical research on encrypted communication tools, specifically the CONIKS protocol for distributing keys, as well as a insights from the largest user study on perceptions of messaging tools.
2/19 Stanford holiday     
2/26 Adrienne Porter Felt  Google Many security problems boil down to usability problems. For example, malware detection is only useful if people heed the resulting warnings. The Chrome team has faced -- and successfully solved -- several large usable security problems. I'll walk through our process for how we approach usable security problems in practice for our 2B+ users.
3/5 Sunny Consolvo  Google You’d better heed my warning: Experimenting with security warnings in Chrome over the years
 
Sunny Consolvo leads Google's Security & Privacy User Experience team. Her research focuses on a wide range of topics within the space of usable privacy and security. Some of Dr. Consolvo’s recent research has explored the top 3 things that security experts vs non-experts do to stay safe online, worked to improve the user experience of browser security warnings, and looked at the digital privacy and security practices and challenges of survivors of intimate partner abuse. Dr. Consolvo is a member of the Steering Committee for the Symposium on Usable Privacy and Security (SOUPS) and the Editorial Board for IEEE Pervasive Computing. She became a Certified Information Privacy Professional (US) in 2013. Dr. Consolvo received her Ph.D. in Information Science from the University of Washington.
3/12 Jim Blythe USC
Humans are often viewed as the 'weakest link' in cyber security. Well-meaning users misuse security tools, fail to follow policies and even deliberately disable security protocols that they view as an unnecessary burden in their work day. Well-meaning policy makers (also human) sometimes implement policies without an understanding of their effect on the workflow. Meanwhile most cyber attacks make use of social engineering approaches such as phishing to gain a foothold in the network. Cybersecurity therefore requires an interdisciplinary approach, combining insights from psychology and economics, at least, as well as computer science. I will describe work with my colleagues in understanding human security behavior based on behavioral studies and survey data. This forms the input to predictive agent-based models that may help evaluate new policies before they are implemented.
 
Jim Blythe is a principal investigator at the Information Sciences Institute at the University of Southern California, where he works on modeling human behavior to improve cybersecurity approaches. His work has been funded by DARPA, DHS and NSF, among others, and he serves on the steering committee for the Usable Security workshops USEC and EuroUSEC. He has a PhD in computer science from Carnegie Mellon.