Detection of intrusions and malware, and vulnerability assessment : 12th International Conference, DIMVA 2015, Milan, Italy, July 9-10, 2015 : proceedings
著者
書誌事項
Detection of intrusions and malware, and vulnerability assessment : 12th International Conference, DIMVA 2015, Milan, Italy, July 9-10, 2015 : proceedings
（Lecture notes in computer science, 9148. LNCS sublibrary ; SL 4 . Security and cryptology）
Springer, c2015
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book constitutes the refereed proceedings of the 12th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2015, held in Milan, Italy, in July 2015.
The 17 revised full papers presented were carefully reviewed and selected from 75 submissions. The papers are organized in topical sections on attacks, attack detection, binary analysis and mobile malware protection, social networks and large-scale attacks, Web and mobile security, and provenance and data sharing.
目次
Cutting the Gordian Knot: A Look Under the Hood of Ransomware Attacks.- "Nice Boots!" - A Large-Scale Analysis of Bootkits and New Ways to Stop Them.- C5: Cross-Cores Cache Covert Channel.- Intrusion Detection for Airborne Communication Using PHY-Layer Information.- That Ain't You: Blocking Spearphishing Through Behavioral Modelling.- Robust and Effective Malware Detection Through Quantitative Data Flow Graph Metrics.- Jackdaw: Towards Automatic Reverse Engineering of Large Datasets of Binaries.- Fine-Grained Control-Flow Integrity Through Binary Hardening.- Powerslave: Analyzing the Energy Consumption of Mobile Antivirus Software.- The Role of Cloud Services in Malicious Software: Trends and Insights.- Capturing DDoS Attack Dynamics Behind the Scenes.- Quit Playing Games with My Heart: Understanding Online Dating Scams.- More Guidelines Than Rules: CSRF Vulnerabilities from Noncompliant OAuth 2.0 Implementations.- May I? - Content Security Policy Endorsement for Browser Extensions.- On the Security and Engineering Implications of Finer-Grained Access Controls for Android Developers and Users.- Identifying Intrusion Infections via Probabilistic Inference on Bayesian Network.- Controlled Data Sharing for Collaborative Predictive Blacklisting.
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