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Krishna Doddapaneni

dblp:58/11472 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021Security and privacy · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%
Computer networks
1 paper
Software-defined and programmable networks · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cloud and datacenter computing › virtualization › network virtualization
network function virtualization
0.712023
Disaggregating Stateful Network Functions · NSDI 2023
Cloud and datacenter computing
resource disaggregation
0.712023
Disaggregating Stateful Network Functions · NSDI 2023
Software-defined and programmable networks
network function virtualization
0.212023
Disaggregating Stateful Network Functions · NSDI 2023
YearPublicationVenuePosition
2023 Disaggregating Stateful Network Functions
Deepak Bansal, Gerald DeGrace, Rishabh Tewari, Michal Zygmunt, James Grantham, Silvano Gai, Mario Baldi, Krishna Doddapaneni, Arun Selvarajan, Arunkumar Arumugam, Balakrishnan Raman, Avijit Gupta, Sachin Jain, Deven Jagasia, Evan Langlais, Pranjal Srivastava, Rishiraj Hazarika, Neeraj Motwani, Soumya Tiwari, Stewart Grant, Ranveer Chandra, Srikanth Kandula
NSDI8
2019 A4WSN: an architecture-driven modelling platform for analysing and developing WSNs
Ivano Malavolta, Leonardo Mostarda, Henry Muccini, Enver Ever, Krishna Doddapaneni, Orhan Gemikonakli
Softw. Syst. Model.5
2012 Effects of IDSs on the WSNs Lifetime: Evidence of the Need of New Approaches
abstract
A Wireless Sensor Network (WSN) consists of spatially distributed autonomous sensors that monitor environmental data such as temperature, humidity, light, speed and sound. WSNs pose new security challenges because of their unattended nature and limited resources. Although prevention measures such as encryption and firewalls have been successfully applied, the attacker can physically access the node and modify it. Intrusion Detection Systems (IDSs) are a second line of defence that can be used to mitigate this problem. Building IDSs for WSNs is a new challenge because of the limited resources of the WSN nodes. IDS solutions for sensor networks should try to minimise the use of battery of the sensor nodes in order to prolong the network lifetime. In this paper we analyse different solutions that have been proposed for intrusion detection in wireless sensor networks. More specifically we analyse the impact of popular intrusion detection systems on the life time of the WSNs. Our study is quite general since we consider IDSs that are distributed on the sensor nodes and continuously monitor the networks for evidence of attacks. We also consider IDSs that are event triggered, which means that they require agreement between nodes when a suspicious activity is detected. The agreement is used to detect the attack and isolate the attacker. We analyse the effects of IDSs on battery life. The results show that, popular oral message algorithm of Byzantine generals problem should be considered for small scale WSNs because of the overhead introduced in terms of messages exchanged for decision. We conclude our paper with properties and recommendations for IDSs working for WSNs and some future works.
Krishna Doddapaneni, Enver Ever, Orhan Gemikonakli, Leonardo Mostarda, Alfredo Navarra
TrustCom1