Posters > 2016

Assured Identity and Privacy

• Artifacts of WIN_JELLY Malware using GPU Forensics [C71-EC2]
• Building Bridges: Online Communities For Crisis Organizations [AA9-011]
• Checking, Increasing, and Confirming a Smart Home's IoT Security [FCE-711]
• Data Classification Using Anatomized Training Data [9E5-23C]
• Digital Security Breaches: Arming Crisis Organizations with New Insights [CAF-6A1]
• Enabling Privacy in IOU Settlement Networks [104-EB9]
• ErsatzPasswords - Ending Password Cracking [2E3-3E9]
• Leveraging Docker-based Containers to Teach Cybersecurity [F05-966]
• Local Differential Privacy Preserving in Social Networks [AEF-207]
• Risk Analysis of Layered Solutions [248-74D]
• Secure Collaborations with Additive Splits [754-C0A]
• Striking a Balance: Privacy and the Law for US Crisis Centers [ACE-A78]
• Systematic Attack Analysis and Adaptive Security in V2V Networks [EB7-A84]
• Using Frame Semantics In Authorship Attribution [A8C-8B4]
• Verifying End-Users’ Security & Privacy: Mobile Application Developer Software Trends [5CE-690]
• Windows 10 data leakage: A digital forensics project [AE9-4B2]

End System Security

• Anatomy of IoT Malware: A Practical Case Study [2AF-B80]
• Authentication of User’s Device and Browser for Data Access in Untrusted Cloud [998-DCA]
• Cryptographic Hardware Acceleration for Vehicular Internet of Things (IoT) [0D7-6D4]
• Deceptive Memory Systems – Countering Anti-Forensics with Deception [0C6-886]
• HexSafe: Efficient Memory Safety for C [F0B-45B]
• HexTaint: Ensuring Data Flow Integrity using Dynamic Taint Analysis [3BC-F38]
• Secure Data Dissemination in Vehicle-to-Vehicle Systems [14B-A99]

Human Centric Security

• Display of Major Risk Categories for Android Apps [CB1-B18]
• Do Users Attend to Highlighted Domains in Identifying Phishing Webpages? [04C-14B]
• Employing Model-Eliciting Activities in Cybersecurity Education [A86-A7A]
• Exploring Potential Correlation between Neuroticism and Anti-Phishing Behavior [2E0-301]
• Password Coping Mechanisms [D9B-8A6]
• Semantic Detection of Phishing Email [C20-474]
• Symbol-Based Visual Cryptographic Authentication Mechanisms: Attacks and New Constructions [213-ABF]
• The Big Idea! Developing the Cybersecurity Mindset Using Representational Fluency and Model-Eliciting Activities [CF5-996]
• Toward Semantic-based Identification of Fake Online Reviews [269-8E4]

Network Security

• A Survey of Malware Exploit Kits: Economic Influences of Exploit-as-a-Service [5BD-2D4]
• Analysis of Community Detection Algorithms for Large Scale Cyber Networks [92F-95E]
• Burning Bitcoins for Censorship Resistance [951-FF0]
• CGuard: Adaptive Defense Against DNS Cache Poisoning Attacks By Off-path Adversaries [190-A34]
• Insecure SSL Remote Desktop Protocol Traffic: snooPDR development [48D-52A]
• iSONG – Intrusion into Social Network Groups [429-992]
• RunLabs: Rapidly Create Virtual Labs Based on a Simple Configuration File [F45-171]
• Secure Cloud Infrastructure [E01-77B]
• Strategic Security Resource Allocation for Internet of Things [C4A-3AD]
• TCP Stream Splitting Moving Target Defense [D49-64B]
• The Cost of Deception [BD3-EE8]
• The Impact of Known Vulnerabilities on Layered Solutions [291-13E]

Policy, Law and Management

• Consumer's View on Payment Card Security [968-418]
• Detecting Malware Within OS X Systems [316-58E]
• Encryption Within Mac OS X [2F3-423]
• Exploring the Cellebrite Universal Forensic Evidence Device (UFED) File System Extraction Process [6F4-B24]

Prevention, Detection and Response

• A comparative analysis of exploit kits: How are exploit kits infecting machines? [01E-0E7]
• Assessing Secure Programming Knowledge with Pre- and Post-Surveys [706-725]
• Detecting Android Malware Before Reaching the User (WIP) [574-80D]
• Exploring Deception with Machine Learning and Data Mining [A5B-694]
• HexType: fast type safety for C++ programs [CD5-967]
• Secure Programming Clinic [CE4-D7C]
• Undergraduate Engagement with CERIAS Student Association [B65-D18]
• Using Link Analysis to Improve Advanced Persistent Threat Intelligence and Detection [DAA-785]