2022 |
Artificial Intelligence Review |
Kirti Bhandari, Kuldeep Kumar, Amrit Lal Sangal. “Data quality issues in software fault prediction: a systematic literature review’’ |
2022 |
Computer Science Review |
Neha Thakur, Avtar Singh, AL Sangal. “Cloud services selection: A systematic review and future research directions” |
2022 |
e-Informatica Software Engineering Journal |
Pooja Sharma, Amrit Lal Sangal. “Examining the Predictive Capability of Advanced Software Fault Prediction Models–An Experimental Investigation Using Combination Metrics” |
2022 |
Discrete Mathematics, Algorithms and Applications |
HS Pattanayak, HK Verma, AL Sangal, Gravitational community detection by predicting diameter |
2021 |
Archives of Computational Methods in Engineering 28 (4), 3087-3111 |
S Kaur, LK Awasthi, AL Sangal, A brief review on multi-objective software refactoring and a new method for its recommendation |
2021 |
Recent Advances in Electrical & Electronic Engineering |
S Kaur, LK Awasthi, AL Sangal, A review on software refactoring opportunity identification and sequencing in object-oriented software |
2021 |
International Journal of Machine Learning and Cybernetics 12 (5), 1369-1411 |
A Mahindru, AL Sangal, SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches |
2021 |
Neural Computing and Applications 33 (10), 5183-5240 |
A Mahindru, AL Sangal, MLDroid—framework for Android malware detection using machine learning techniques |
2021 |
Multimedia Tools and Applications 80 (9), 13271-13323 |
A Mahindru, AL Sangal, FSDroid:-A feature selection technique to detect malware from Android using Machine Learning Techniques |
2021 |
The Journal of Supercomputing, 1-43 |
A Mahindru, AL Sangal, HybriDroid: an empirical analysis on effective malware detection model developed using ensemble methods |
2021 |
Intelligent Computing and Applications, 203-220 |
HS Pattanayak, HK Verma, AL Sangal, Relationship Between Community Structure and Clustering coefficient |
2021 |
Journal of Ambient Intelligence and Humanized Computing 12 (1), 1387-1406 |
A Bhandari, K Kumar, AL Sangal, S Behal, An anomaly based distributed detection system for DDoS attacks in Tier-2 ISP networks |
2020 |
Arabian Journal for Science and Engineering, 45(12), 10327-10351. |
Sharma, P., & Sangal, A. L. Building and testing a fuzzy linguistic assessment framework for defect prediction in asd environment using process-based software metrics. |
2020 |
Evolutionary Intelligence, 1-31 |
A Mahindru, AL Sangal, SOMDROID: android malware detection by artificial neural network trained using unsupervised learning |
2017 |
Journal of Multiagent and Grid systems |
Ramanpreet Kaur, Amrit Lal Sangal, and Krishan Kumar, "Churn Handling Strategies for Structured Overlay Networks: Existing Protocols and Open Research Issues" |
2017 |
Engineering Science and Technology, an International Journal, 20(1) 310-320 |
Ramanpreet Kaur, Amrit Lal Sangal, and Krishan Kumar, "Modeling and simulation of adaptive Neuro-fuzzy based intelligent system for predictive stabilization in structured overlay networks" |
2017 |
Journal of High Speed Networks, 23(1) 67-91 |
Ramanpreet Kaur, Amrit Lal Sangal, and Krishan Kumar, "Overlay based defensive architecture to survive DDoS: A comparative study." |
2016 |
Procedia Computer Science, 94 435-440 |
Sandeep Mehmi, Harsh K Verma, A L Sangal, "Comparative analysis of cloudlet completion time in time and space shared allocation policies during attack on smart grid cloud" |
2016 |
Journal of Computer Networks and Communications, 2016(4) 1-15 |
Ramanpreet Kaur, Amrit Lal Sangal, and Krishan Kumar, "A Persistent Structured Hierarchical Overlay Network to Counter Intentional Churn Attack" |
2016 |
International Journal of Grid and Distributed Computing, 9 61-72 |
Sandeep Mehmi, Amrit Lal Sangal, Harsh Kumar Verma, Kulwinder Parmar, "Economic viability of smart grid cloud in India" |
2016 |
Security and Communication Networks, 9(13) 2222-2239 |
A.Bhandari, A.L Sangal and Krishan Kumar, "Characterizing flash events and distributed denial of service attacks: an empirical investigation" |