On the public citation graph

Proceedings 2014 Network and Distributed System Security Symposium

0 signed · 43 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-030-22277-2_23openalex-snapshot
A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems
inferred← citeshttps://doi.org/10.1007/978-3-642-45330-4_2openalex-snapshot
Data Handling in the Smart Grid: Do We Know Enough?
inferred← citeshttps://doi.org/10.1007/s11704-024-3390-zopenalex-snapshot
MMKFB: multi-client and multi-keyword searchable symmetric encryption with forward and backward privacy
inferred← citeshttps://doi.org/10.1016/b978-0-12-415815-3.00007-8openalex-snapshot
Security for Mobile Ad Hoc Networks
inferred← citeshttps://doi.org/10.1016/j.comcom.2021.09.017openalex-snapshot
Robustness analysis of DNS paths and web access paths in public administration websites
inferred← citeshttps://doi.org/10.1016/j.cose.2020.101932openalex-snapshot
Scalable and robust unsupervised Android malware fingerprinting using community-based network partitioning
inferred← citeshttps://doi.org/10.1016/j.diin.2019.08.002openalex-snapshot
How to detect cryptocurrency miners? By traffic forensics!
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122223openalex-snapshot
Adversarial examples: A survey of attacks and defenses in deep learning-enabled cybersecurity systems
inferred← citeshttps://doi.org/10.1016/j.ijcip.2023.100612openalex-snapshot
Protocol study and anomaly detection for server-driven traffic in SCADA networks
inferred← citeshttps://doi.org/10.1016/j.jisa.2019.102423openalex-snapshot
Visualizing the outcome of dynamic analysis of Android malware with VizMal
inferred← citeshttps://doi.org/10.1016/j.jnca.2021.103093openalex-snapshot
Emerging DDoS attack detection and mitigation strategies in software-defined networks: Taxonomy, challenges and future directions
inferred← citeshttps://doi.org/10.1016/j.jss.2016.11.026openalex-snapshot
deExploit: Identifying misuses of input data to diagnose memory-corruption exploits at the binary level
inferred← citeshttps://doi.org/10.1016/j.vrih.2022.01.007openalex-snapshot
Privacy-preserving deep learning techniques for wearable sensor-based big data applications
inferred← citeshttps://doi.org/10.1080/02673843.2018.1524331openalex-snapshot
Youth and teenager health service in community organizing: prevention health care in China
inferred← citeshttps://doi.org/10.1080/17517575.2021.1896786openalex-snapshot
A survey of phishing attack techniques, defence mechanisms and open research challenges
inferred← citeshttps://doi.org/10.1117/12.2223968openalex-snapshot
Identifying compromised systems through correlation of suspicious traffic from malware behavioral analysis
inferred← citeshttps://doi.org/10.1117/12.2653713openalex-snapshot
Denglu1-extension: solve password vulnerabilities and optimize user experience
inferred← citeshttps://doi.org/10.1117/12.3067456openalex-snapshot
On-chain anonymized traceability scheme based on outsourced data
inferred← citeshttps://doi.org/10.1145/1102120.1102171openalex-snapshot
Exploiting open functionality in SMS-capable cellular networks
inferred← citeshttps://doi.org/10.1145/1456508.1456518openalex-snapshot
Using rhythmic nonces for puzzle-based DoS resistance
inferred← citeshttps://doi.org/10.1145/1529282.1529573openalex-snapshot
Extending Bayesian trust models regarding context-dependence and user friendly representation
inferred← citeshttps://doi.org/10.1145/2259016.2259033openalex-snapshot
DeadSpy
inferred← citeshttps://doi.org/10.1145/2663716.2663738openalex-snapshot
Search + Seizure
inferred← citeshttps://doi.org/10.1145/2702123.2702365openalex-snapshot
On the Effectiveness of Pattern Lock Strength Meters
inferred← citeshttps://doi.org/10.1145/2808691openalex-snapshot
Evaluating Computer Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1145/2905760.2905762openalex-snapshot
Why allowing profile name reuse is a bad idea
inferred← citeshttps://doi.org/10.1145/3038912.3052589openalex-snapshot
What's in a Name?
inferred← citeshttps://doi.org/10.1145/3105906openalex-snapshot
Automatic Software Repair
inferred← citeshttps://doi.org/10.1145/3133956.3134103openalex-snapshot
IMF
inferred← citeshttps://doi.org/10.1145/3203422.3203428openalex-snapshot
Daemon-Guard
inferred← citeshttps://doi.org/10.1145/3309698openalex-snapshot
Safe and Efficient Implementation of a Security System on ARM using Intra-level Privilege Separation
inferred← citeshttps://doi.org/10.1145/3395351.3399347openalex-snapshot
Paging storm attacks against 4G/LTE networks from regional Android botnets
inferred← citeshttps://doi.org/10.1145/3427228.3427238openalex-snapshot
Quantifying measurement quality and load distribution in Tor
inferred← citeshttps://doi.org/10.1145/3468264.3468542openalex-snapshot
Detecting Node.js prototype pollution vulnerabilities via object lookup analysis
inferred← citeshttps://doi.org/10.1145/3487553.3524244openalex-snapshot
Know Your Victim: Tor Browser Setting Identification via Network Traffic Analysis
inferred← citeshttps://doi.org/10.1145/3531146.3533116openalex-snapshot
Goodbye Tracking? Impact of iOS App Tracking Transparency and Privacy Labels
inferred← citeshttps://doi.org/10.1145/3569936openalex-snapshot
DAISY: Dynamic-Analysis-Induced Source Discovery for Sensitive Data
inferred← citeshttps://doi.org/10.1145/3689943.3696203openalex-snapshot
ParTEETor: A System for Partial Deployments of TEEs within Tor
inferred← citeshttps://doi.org/10.1145/3704434openalex-snapshot
When SDN Meets Low-rate Threats: A Survey of Attacks and Countermeasures in Programmable Networks
inferred← citeshttps://doi.org/10.1145/3808188openalex-snapshot
Unveiling the Fragility of Binary Code Similarity Detection via Targeted Attacks with Model Explanations
inferred← citeshttps://doi.org/10.1145/945445.945458openalex-snapshot
Samsara
inferred← citeshttps://doi.org/10.22215/etd/2020-14132openalex-snapshot
Evaluating the Usability of Passthought Authentication
inferred← citeshttps://doi.org/10.23919/cje.2021.00.370openalex-snapshot
ESE: Efficient Security Enhancement Method for the Secure Aggregation Protocol in Federated Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.