Titlebook: ICT Systems Security and Privacy Protection; 32nd IFIP TC 11 Inte Sabrina De Capitani di Vimercati,Fabio Martinelli Conference proceedings

呻吟

书目名称ICT Systems Security and Privacy Protection影响因子(影响力)




书目名称ICT Systems Security and Privacy Protection影响因子(影响力)学科排名




书目名称ICT Systems Security and Privacy Protection网络公开度




书目名称ICT Systems Security and Privacy Protection网络公开度学科排名




书目名称ICT Systems Security and Privacy Protection被引频次




书目名称ICT Systems Security and Privacy Protection被引频次学科排名




书目名称ICT Systems Security and Privacy Protection年度引用




书目名称ICT Systems Security and Privacy Protection年度引用学科排名




书目名称ICT Systems Security and Privacy Protection读者反馈




书目名称ICT Systems Security and Privacy Protection读者反馈学科排名

Glycogen

IFIP Advances in Information and Communication Technologyhttp://image.papertrans.cn/i/image/460170.jpg

antiquated

978-3-319-86414-3IFIP International Federation for Information Processing 2017

PAN

永久

modish

Turning Active TLS Scanning to Eleven to do exhaustive scanning for many vulnerabilities at once. We thoroughly evaluated the algorithms using practical scans and an additional simulation for evaluating current cipher suite practices at scale. With this work full TLS cipher suite scans are brought to a new level, making them a practica

ZEST

A Malware-Tolerant, Self-Healing Industrial Control System Frameworkponents verifying each other. We provide ProVerif proofs to show the correctness of the network protocol one-by-one assuming each device compromised..Furthermore, we added a self-healing mechanism based on invariants to the architecture on network as well as system level which will reset failed or c

FRONT

Admonish

Context-Dependent Privacy-Aware Photo Sharing Based on Machine Learninges with 12’216 personalized contextual sharing decisions. Evaluation experiments were performed and the results show a promising performance of the proposed model for photo sharing decision making. Furthermore, the influences of different types of features on decision making have been investigated,

烧烤

Detection of Side Channel Attacks Based on Data Tainting in Android Systemsn through side channels. Also, we detected Sarwar . [.] side channel attacks. Our approach generates . of false positives. The overhead given by our approach is acceptable in comparison to the one obtained by TaintDroid (9% overhead).