Anand Handa

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Emotion Recognition

Machine Learning

Malware Detection

Top Venues

Publications

Sambhrant Maurya, Anand Handa, Nitesh Kumar, Sandeep K. Shukla
Adversarially robust and real-time DDoS detection and classification framework using AutoML. Inf. Secur. J. A Glob. Perspect. 33 (4) (2024)
Mohammed Jawed, Sriram Parameshwaran, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
ArkThor: Threat Categorization Based on Malware's C2 Communication. ICISSP (2024)
Aman Srivastava, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Ransomware Detection based on Network Behavior using Machine Learning and Hidden Markov Model with Gaussian Emission. CSR (2023)
Aman Pratap Singh, Rohit Negi, Anand Handa, Sandeep K. Shukla
Monitoring Application Behaviours to Detect Android Malware. DASC/PiCom/CBDCom/CyberSciTech (2023)
Saurabh Pandey, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
Evading malware classifiers using RL agent with action-mask. Int. J. Inf. Sec. 22 (6) (2023)
Akash Patel, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
AProctor - A practical on-device antidote for Android malware. ACSW (2023)
Rahul Varshney, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
Volatility Custom Profiling for Automated Hybrid ELF Malware Detection. ICDF2C (2022)
Nitesh Kumar, Anand Handa, Sandeep K. Shukla
RBMon: Real Time System Behavior Monitoring Tool. AsiaCCS (2022)
Shubham Rana, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Automated Windows behavioral tracing for malware analysis. Secur. Priv. 5 (6) (2022)
Anand Handa, Rashi Agarwal, Narendra Kohli
Audio-Visual Emotion Recognition System Using Multi-Modal Features. Int. J. Cogn. Informatics Nat. Intell. 15 (4) (2021)
Hariom, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Adversaries Strike Hard: Adversarial Attacks Against Malware Classifiers Using Dynamic API Calls as Features. CSCML (2021)
Anand Handa, Rashi Agarwal, Narendra Kohli
Incremental approach for multi-modal face expression recognition system using deep neural networks. Int. J. Comput. Vis. Robotics 11 (1) (2021)
Kartikeya Gaur, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Static Ransomware Analysis Using Machine Learning and Deep Learning Models. ACeS (2020)
Anand Handa, Rashi Agarwal, Narendra Kohli
A multimodel keyword spotting system based on lip movement and speech features. Multim. Tools Appl. 79 (27-28) (2020)
Bishwas C. Gupta, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
An Insecurity Study of Ethereum Smart Contracts. SPACE (2020)
Rohit Negi, Aneet Kumar Dutta, Anand Handa, Ujjwal Ayyangar, Sandeep K. Shukla
Intrusion Detection & Prevention in Programmable Logic Controllers: A Model-driven Approach. ICPS (2020)
Riya Khan, Nitesh Kumar, Anand Handa, Sandeep K. Shukla
Malware Detection in Word Documents Using Machine Learning. ACeS (2020)
Nitesh Kumar, Ajay Singh, Anand Handa, Sandeep Kumar Shukla
Detecting Malicious Accounts on the Ethereum Blockchain with Supervised Learning. CSCML (2020)
Nitesh Kumar, Subhasis Mukhopadhyay, Mugdha Gupta, Anand Handa, Sandeep K. Shukla
Malware Classification using Early Stage Behavioral Analysis. AsiaJCIS (2019)
Ajay Singh, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Malware Classification Using Image Representation. CSCML (2019)
Anand Handa, Rashi Agarwal, Narendra Kohli
A Comprehensive Video Dataset for Multi-Modal Recognition Systems. Data Sci. J. 18 (2019)
Harsh Bhagwani, Rohit Negi, Aneet Kumar Dutta, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Automated Classification of Web-Application Attacks for Intrusion Detection. SPACE (2019)
Fenil Fadadu, Anand Handa, Nitesh Kumar, Sandeep Kumar Shukla
Evading API Call Sequence Based Malware Classifiers. ICICS (2019)
Anand Handa, Ashu Sharma, Sandeep K. Shukla
Machine learning in cybersecurity: A review. WIREs Data Mining Knowl. Discov. 9 (4) (2019)
Amit Kumar, Nitesh Kumar, Anand Handa, Sandeep Kumar Shukla
PeerClear: Peer-to-Peer Bot-net Detection. CSCML (2019)
Narendra Kohli, Rashi Agarwal, Anand Handa
A survey of face recognition techniques and comparative study of various bi-modal and multi-modal techniques. ICIIS (2016)