Arvind Mahindru

647 citations

16 papers · 382 · h-index 9

Impact in

Software top 5%
- Software Testing and Debugging Techniques
Signal Processing top 2%
- Advanced Malware Detection Techniques

Papers in

Computer Networks and Communications 15
- Network Security and Intrusion Detection 13
Signal Processing 14
- Advanced Malware Detection Techniques 14

Co-authors: Amrit Lal Sangal (7 shared papers)Paramvir Singh (1 shared paper)Himani Arora (2 shared papers)Shubham Mahajan (1 shared paper)Sachin Kumar Gupta (1 shared paper)Jungeun Kim (1 shared paper)Seifedine Kadry (1 shared paper)Lov Kumar (1 shared paper)
Journals: Scientific Reports (1 paper)Evolutionary Intelligence (1 paper)Neural Computing and Applications (1 paper)Multimedia Tools and Applications (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)
Partner nations: India Jordan South Korea

In The Last Decade

Arvind Mahindru

16 papers receiving 375 citations

Peers

Countries citing papers authored by Arvind Mahindru

Since Specialization

Citations

This map shows the geographic impact of Arvind Mahindru's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Arvind Mahindru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arvind Mahindru more than expected).

Fields of papers citing papers by Arvind Mahindru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind Mahindru. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Arvind Mahindru. The network helps show where Arvind Mahindru may publish in the future.

Co-authors

The 10 scholars most cited alongside Arvind Mahindru, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arvind Mahindru Line = papers co-authored together Arvind Mahindru links everyone, so they are left out of the graph.

All Works

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16 of 16 papers shown

#	Work
1	MLDroid—framework for Android malware detection using machine learning techniques Neural Computing and Applications ·Arvind Mahindru, Amrit Lal Sangal	2020	129
2	Dynamic Permissions based Android Malware Detection using Machine Learning Techniques Arvind Mahindru, Paramvir Singh	2017	76
3	FSDroid:- A feature selection technique to detect malware from Android using Machine Learning Techniques Multimedia Tools and Applications ·Arvind Mahindru, Amrit Lal Sangal	2021	45
4	SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches International Journal of Machine Learning and Cybernetics ·Arvind Mahindru, Amrit Lal Sangal	2020	32
5	DeepDroid: Feature Selection approach to detect Android malware using Deep Learning Arvind Mahindru, Amrit Lal Sangal	2019	21
6	SOMDROID: android malware detection by artificial neural network trained using unsupervised learning Evolutionary Intelligence ·Arvind Mahindru, Amrit Lal Sangal	2020	20
7	PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection Scientific Reports ·Arvind Mahindru, Himani Arora, Abhinav Kumar, Sachin Kumar Gupta, Shubham Mahajan, Seifedine Kadry, Jungeun Kim	2024	18
8	HybriDroid: an empirical analysis on effective malware detection model developed using ensemble methods The Journal of Supercomputing ·Arvind Mahindru, Amrit Lal Sangal	2021	17
9	PARUDroid: Validation of Android Malware Detection Dataset Arvind Mahindru, Amrit Lal Sangal	2020	9
10	Android Malware Prediction Using Extreme Learning Machine with Different Kernel Functions Lov Kumar, (unknown), Arvind Mahindru, Lalita Bhanu Murthy Neti	2019	7
11	Android Malware and Normal permissions dataset Data Archiving and Networked Services (DANS) ·Arvind Mahindru	2018	2
12	YarowskyDroid: Semi-supervised based Android malware detection using federation learning Arvind Mahindru, Sanjeev Sharma, (unknown)	2023	2
13	PARUDroid: Framework that Enhances Smartphone Security Using an Ensemble Learning Approach SN Computer Science ·Arvind Mahindru, Himani Arora	2023	1
14	Android Permissions Dataset Data Archiving and Networked Services (DANS) ·Arvind Mahindru	2019	1
15	Performance Analysis of Conventional Diversity Combining Schemes in Rayleigh and Rician Fading Channels IOSR Journal of Computer Engineering ·(unknown), Medha Walia, Arvind Mahindru	2014	1
16	Android permissions dataset, Android Malware and benign Application Data set (consist of permissions and API calls) Data Archiving and Networked Services (DANS) ·Arvind Mahindru	2020	1

About Arvind Mahindru

Arvind Mahindru is a scholar working on Computer Networks and Communications, Signal Processing, Software, Information Systems and Electrical and Electronic Engineering, having authored 16 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 papers), Network Security and Intrusion Detection (13 papers), Software Testing and Debugging Techniques (9 papers), Mobile and Web Applications (2 papers), Digital and Cyber Forensics (2 papers), Spam and Phishing Detection (1 paper), Green IT and Sustainability (1 paper) and Advanced Wireless Network Optimization (1 paper). The work is most often cited by research in Software (130 citations), Signal Processing (359 citations), Computer Networks and Communications (327 citations), Information Systems (173 citations) and Artificial Intelligence (74 citations). Arvind Mahindru has collaborated with scholars based in India, Jordan and South Korea. Frequent co-authors include Amrit Lal Sangal, Paramvir Singh, Himani Arora, Shubham Mahajan, Sachin Kumar Gupta, Jungeun Kim, Seifedine Kadry, Lov Kumar, Lalita Bhanu Murthy Neti and Sanjeev Sharma. Their work appears in journals such as Scientific Reports, Evolutionary Intelligence, Neural Computing and Applications, Multimedia Tools and Applications and International Journal of Machine Learning and Cybernetics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Arvind Mahindru

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