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ORCIDArun Raj Kumar P
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2020 – today
- 2024
[j15]K. S. Midhula
, P. Arun Raj Kumar:
An Adaptive Congestion Control Protocol for Wireless Networks Using Deep Reinforcement Learning. IEEE Trans. Netw. Serv. Manag. 21(2): 2027-2043 (2024)- [j14]Sarath Babu, Arun Raj Kumar P:
CDSPAN: A Collaborative Distributed SPANner Backbone for Multiple Source Multicast Routing in Vehicular Network. IEEE Trans. Veh. Technol. 73(4): 5213-5228 (2024) - 2023
- [c8]Gullipalli Suneetha, Arun Raj Kumar P:
A Collaborative Lightweight Malicious Drone Detection System in Sensitive Areas. ANTS 2023: 270-275 - [c7]K. Santhosh Kumar, P. Arun Raj Kumar:
Finding Survivors in a Terrestrial Region: A Solution to the Unmanned Aerial Vehicle Trajectory Planning Problem. COMSNETS 2023: 474-476 - 2022
- [j13]Sarath Babu, Arun Raj Kumar Parthiban:
DTMR: An adaptive Distributed Tree-based Multicast Routing protocol for vehicular networks. Comput. Stand. Interfaces 79: 103551 (2022) - [j12]Nagarajan Kumar, P. Arun Raj Kumar:
STEM: stacked ensemble model design for aggregation technique in group recommendation system. Int. J. Bus. Intell. Data Min. 21(1): 66-84 (2022) - [j11]Sarath Babu, Arun Raj Kumar P:
A comprehensive survey on simulators, emulators, and testbeds for VANETs. Int. J. Commun. Syst. 35(8) (2022) - [j10]Jeet Rabari, P. Arun Raj Kumar:
A survey on interest packet flooding attacks and its countermeasures in named data networking. Int. J. Inf. Sec. 21(5): 1163-1187 (2022) - [j9]Remya Krishnan P., P. Arun Raj Kumar:
Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping. Wirel. Pers. Commun. 124(1): 931-966 (2022) - [c6]Sandra V. S. Nair, P. Arun Raj Kumar:
Detection of Motion Vector-Based Stegomalware in Video Files. CVMI 2022: 79-93 - 2021
- [j8]Remya Krishnan P., Arun Raj Kumar P:
A collaborative strategy for detection and eviction of Sybil attacker and Sybil nodes in VANET. Int. J. Commun. Syst. 34(3) (2021) - [c5]Rahul Pradeep, Akhil Babu, K. S. Midhula, Arun Raj Kumar Parthiban:
Temporal Difference Learning Model for TCP End-To-End Congestion Control in Heterogeneous Wireless Networks. ICCCNT 2021: 1-5 - [c4]Jeet Rabari, Arun Raj Kumar P:
FIFA: Fighting against Interest Flooding Attack in NDN-based VANET. IWCMC 2021: 1539-1544 - 2020
- [j7]S. Venkatraman, B. Surendiran, P. Arun Raj Kumar:
Spam e-mail classification for the Internet of Things environment using semantic similarity approach. J. Supercomput. 76(2): 756-776 (2020) - [c3]Praveensankar Manimaran, Arun Raj Kumar P:
NDNIDS: An Intrusion Detection System for NDN Based VANET. VTC Spring 2020: 1-5
2010 – 2019
- 2019
- [j6]Venkatraman Subbarayalu, B. Surendiran, P. Arun Raj Kumar:
Hybrid Network Intrusion Detection System for Smart Environments Based on Internet of Things. Comput. J. 62(12): 1822-1839 (2019) - [j5]S. Venkatraman, P. Arun Raj Kumar:
Improving Adhoc wireless sensor networks security using distributed automaton. Clust. Comput. 22(6): 14551-14557 (2019) - 2017
- [j4]Jayashree Pougajendy, Arun Raj Kumar Parthiban:
Detection of SIP-Based Denial of Service Attack Using Dual Cost Formulation of Support Vector Machine. Comput. J. 60(12): 1770-1784 (2017) - [c2]Vishnu Prasad C, Arun Raj Kumar P:
Secret sharing scheme based on Cauchy matrix for data outsourcing. SIN 2017: 315-318 - 2016
- [j3]Jayashree Pougajendy, Arun Raj Kumar Parthiban:
CDAI: a novel collaborative detection approach for impersonation attacks in vehicular ad-hoc networks. Secur. Commun. Networks 9(18): 5547-5562 (2016) - 2014
- [c1]Aastikta Sharma, S. Dhivya, N. Durga, P. Arun Raj Kumar:
Web Portal for Quassi Classè in Android. T4E 2014: 261-262 - 2013
- [j2]P. Arun Raj Kumar, S. Selvakumar:
Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems. Comput. Commun. 36(3): 303-319 (2013) - 2011
- [j1]P. Arun Raj Kumar, S. Selvakumar:
Distributed denial of service attack detection using an ensemble of neural classifier. Comput. Commun. 34(11): 1328-1341 (2011)
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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