Yogita Mane
Papers
2
Total Citations
5
H-Index
2
About
Yogita Mane is a cybersecurity researcher specializing in network security, botnet detection, and privacy-preserving systems. Her primary research focuses on combating sophisticated cyber threats, particularly slow-rate Distributed Denial of Service (DDoS) attacks that exploit anonymizing networks. Her most cited work, "An efficient technique to detect slow rate DDoS attack from a private Tor network" (2020), addresses a critical vulnerability: the exploitation of Tor's anonymity by BotMasters to hide botnet command-and-control activities. Mane developed a novel detection technique that identifies malicious traffic patterns within private Tor networks, where traditional security measures often fail due to encryption and routing complexities. This contribution is vital for securing both Tor users and network infrastructure from stealthy, low-and-slow attacks that evade conventional rate-based detection. While her citation counts (3 and 2) reflect the niche and emerging nature of her research area, her work has practical implications for law enforcement, cybersecurity firms, and privacy advocates seeking to balance anonymity with security. Mane’s research stands at the intersection of privacy and threat intelligence, offering a targeted solution to one of the most challenging problems in modern network defense.
Research Focus
Key Achievements
Top Papers
- 1
- 2