C. Rama Krishna

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 30

Top Topics

Comparative Study

Machine Learning

Distributed Denial Of Service

Top Venues

Concurr. Comput. Pract. Exp.

J. Intell. Fuzzy Syst.

Publications

Palvi Mahajan, Gagangeet Singh Aujla, C. Rama Krishna
Explainable Edge Computing in a Distributed AI - Powered Autonomous Vehicular Networks. ICC Workshops (2024)
Praveen Shukla, C. Rama Krishna, Nilesh Vishwasrao Patil
SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks. Clust. Comput. 27 (5) (2024)
Mohd Ahsan Siddiqui, Mala Kalra, C. Rama Krishna
ADSBAN: Anomaly detection system for body area networks utilizing IoT and machine learning. Concurr. Comput. Pract. Exp. 36 (13) (2024)
Praveen Shukla, C. Rama Krishna, Nilesh Vishwasrao Patil
Iot traffic-based DDoS attacks detection mechanisms: A comprehensive review. J. Supercomput. 80 (7) (2024)
Amandeep Kaur, C. Rama Krishna, Nilesh Vishwasrao Patil
K-DDoS-SDN: A distributed DDoS attacks detection approach for protecting SDN environment. Concurr. Comput. Pract. Exp. 36 (3) (2024)
Praveen Shukla, C. Rama Krishna, Nilesh Vishwasrao Patil
EIoT-DDoS: embedded classification approach for IoT traffic-based DDoS attacks. Clust. Comput. 27 (2) (2024)
Satish Kumar, C. Rama Krishna, Sahil Khattar, Raj Kumar Tickoo
Adversarial Attack to Deceive One Stage Object Detection Algorithms. ICIMMI (2022)
Palvi Mahajan, C. Rama Krishna, Gagangeet Singh Aujla, Rasmeet Singh Bali, Neeraj Garg
Ubiquitous Micro Mapping of Air Pollution Using Vehicular Edge-Based Connected IoT Services. IEEE Internet Things Mag. 5 (4) (2022)
Nilesh Vishwasrao Patil, C. Rama Krishna, Krishan Kumar
KS-DDoS: Kafka streams-based classification approach for DDoS attacks. J. Supercomput. 78 (6) (2022)
Nilesh Vishwasrao Patil, C. Rama Krishna, Krishan Kumar
SSK-DDoS: distributed stream processing framework based classification system for DDoS attacks. Clust. Comput. 25 (2) (2022)
Vartika Kulshrestha, Seema Verma, C. Rama Krishna
Hybrid probabilistic triple encryption approach for data security in cloud computing. Int. J. Adv. Intell. Paradigms 21 (1/2) (2022)
Nilesh Vishwasrao Patil, C. Rama Krishna, Krishan Kumar, Sunny Behal
E-Had: A distributed and collaborative detection framework for early detection of DDoS attacks. J. King Saud Univ. Comput. Inf. Sci. 34 (4) (2022)
Rishu Chhabra, C. Rama Krishna, Seema Verma
A survey on state-of-the-art road surface monitoring techniques for intelligent transportation systems. Int. J. Sens. Networks 37 (2) (2021)
Nilesh Vishwasrao Patil, C. Rama Krishna, Krishan Kumar
Distributed frameworks for detecting distributed denial of service attacks: A comprehensive review, challenges and future directions. Concurr. Comput. Pract. Exp. 33 (10) (2021)
Shweta Sharma, C. Rama Krishna, Rakesh Kumar
RansomDroid: Forensic analysis and detection of Android Ransomware using unsupervised machine learning technique. Digit. Investig. 37 (2021)
Shweta Sharma, Rakesh Kumar, C. Rama Krishna
A survey on analysis and detection of Android ransomware. Concurr. Comput. Pract. Exp. 33 (16) (2021)
Rajvir Singh, C. Rama Krishna, Rajnish Sharma, Renu Vig
Energy efficient fixed-cluster architecture for wireless sensor networks. J. Intell. Fuzzy Syst. 40 (5) (2021)
Rohit Handa, C. Rama Krishna, Naveen Aggarwal
Efficient privacy-preserving scheme supporting disjunctive multi-keyword search with ranking. Concurr. Comput. Pract. Exp. 32 (2) (2020)
Nilesh Vishwasrao Patil, C. Rama Krishna, Krishan Kumar
S-DDoS: Apache spark based real-time DDoS detection system. J. Intell. Fuzzy Syst. 38 (5) (2020)
Shweta Sharma, Naveen Kumar, Rakesh Kumar, C. Rama Krishna
The Paradox of Choice: Investigating Selection Strategies for Android Malware Datasets Using a Machine-learning Approach. Commun. Assoc. Inf. Syst. 46 (2020)
Shweta Sharma, C. Rama Krishna, Rakesh Kumar
Android Ransomware Detection using Machine Learning Techniques: A Comparative Analysis on GPU and CPU. ACIT (2020)
Rohit Handa, C. Rama Krishna, Naveen Aggarwal
Searchable encryption: A survey on privacy-preserving search schemes on encrypted outsourced data. Concurr. Comput. Pract. Exp. 31 (17) (2019)
Rohit Handa, C. Rama Krishna, Naveen Aggarwal
Document clustering for efficient and secure information retrieval from cloud. Concurr. Comput. Pract. Exp. 31 (15) (2019)
Rishu Chhabra, C. Rama Krishna, Seema Verma
Smartphone based context-aware driver behavior classification using dynamic bayesian network. J. Intell. Fuzzy Syst. 36 (5) (2019)
Sanjay Sharma, C. Rama Krishna, Sanjay K. Sahay
Detection of Advanced Malware by Machine Learning Techniques. CoRR (2019)
Aditya Bhardwaj, C. Rama Krishna
Efficient multistage bandwidth allocation technique for virtual machine migration in cloud computing. J. Intell. Fuzzy Syst. 35 (5) (2018)
Aditya Bhardwaj, C. Rama Krishna
Performance evaluation of bandwidth for virtual machine migration in cloud computing. Int. J. Knowl. Eng. Data Min. 5 (3) (2018)
Amarendra Goap, Deepak Sharma, A. K. Shukla, C. Rama Krishna
An IoT based smart irrigation management system using Machine learning and open source technologies. Comput. Electron. Agric. 155 (2018)
Amarendra Goap, Deepak Sharma, A. K. Shukla, C. Rama Krishna
Comparative Study of Regression Models Towards Performance Estimation in Soil Moisture Prediction. ICACDS (2) (2018)
Rohit Handa, C. Rama Krishna, Naveen Aggarwal
An efficient approach for secure information retrieval on cloud. J. Intell. Fuzzy Syst. 34 (3) (2018)
Hemant Kumar Saini, Satpal Singh Kushwaha, C. Rama Krishna
Compressing the Data Densely by New Geflochtener to Accelerate Web. CoRR (2014)
Raj Bala, C. Rama Krishna
Performance analysis of topology based routing in a VANET. ICACCI (2014)