会议全称：International Conference on Security and Privacy in Communication Networks
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Security
and privacy in computer networks (e.g., wired, wireless, mobile,
hybrid, sensor, vehicular, satellite, 5G, 6G, ad hoc, peer-to-peer, and
software-defined networks)
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Security and
privacy in systems with strong secure communication and networking
element (e.g., security in the cloud, IoT, cyber-physical systems, edge
and fog computing, and teleconferencing)
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Security and privacy in Web3.0 and metaverse
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Distributed
ledger technologies (e.g., blockchain, smart contracts, and
cryptocurrencies) and decentralized applications (e.g., DeFi)
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Security
protocols at all network layers and for different applications (e.g.,
for secure routing, naming/addressing, network management, remote
authentication and attestation)
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Physical layer security (e.g., jamming, GPS spoofing)
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Network
attacks (e.g., DDoS, MitM, malware, botnets, side-channel attacks,
phishing/pharming, cybersquatting), defenses (e.g., network intrusion
detection and prevention, firewalls, packet filters, moving target
defence) and forensics
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Applications of
cryptography (e.g., Analysis of deployed cryptography and cryptographic
protocols, Cryptographic implementation analysis, New cryptographic
protocols with real-world applications)
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Security analysis (e.g., Malware analysis, Automated security analysis of source code and binaries, Program analysis)
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Data-driven
security and measurement studies (e.g., Measurements of fraud, malware
or spam; Measurements of human behavior and security)
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Cybercrime investigation and attribution
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Cyber threat intelligence and cyber incident responses
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Anonymous and privacy-aware communications (e.g., Tor, darknet)
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Internet censorship and circumvention
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Secure communication and networking applications (e.g., industry 4.0, energy, transportation, smart cities)
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Quantum key distribution and other quantum-based secure communications
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Visualization of secure communications and networking
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Privacy-preserving computing in secure communication and networking (e.g., privacy-preserving machine learning)
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The resilience of computer networks and critical infrastructures
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Web and mobile security and privacy
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Defending false information online (e.g., mis-, dis- and mal-information)
