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Sriram Sankaran - IEEE Xplore Author Profile
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Sriram Sankaran

Also published under: S. Sankaran

Publications
56
Citations
354
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (54)
Image of author Sriram Sankaran

Sriram Sankaran

Also published under: S. Sankaran

Affiliation

Center for Cybersecurity Systems and Networks
Amrita Vishwa Vidyapeetham
Amritapuri, India

Publication Topics

Biography

Sriram Sankaran (Member, IEEE) received the B.Tech. degree (Hons.) from the Malaviya National Institute of Technology Jaipur, Jaipur, formerly known as the Regional Engineering College, and the M.S. and Ph.D. degrees from the University at Buffalo, The State University of New York. He is an Assistant Professor with the Center for Cybersecurity Systems and Networks, Amrita Vishwa Vidyapeetham, Amritapuri Campus, where he directs the Sustainable Computing Laboratory. He has published more than 50 papers all in the areas of mobile embedded computing systems and cybersecurity. His research interests include mobile embedded computing systems, cybersecurity, and the Internet of Things, with a particular focus on energy efficient computing, modeli...
Publications
56
Citations
354
Publications by Year
20132025
Co-Authors:
Show All Co-Authors (54)
Author's Published Works

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From Static to AI-Driven Detection: A Comprehensive Review of Obfuscated Malware Techniques

Saranya Chandran;Sreelakshmi R. Syam;Sriram Sankaran;Tulika Pandey;Krishnashree Achuthan

IEEE Access
Year: 2025 | Volume: 13 | Journal Article |
The frequency of cyber attacks targeting individuals, businesses, and organizations globally has escalated in recent years. The evolution of obfuscated malware, designed to evade detection, has been unprecedented, employing new and sophisticated mechanisms to breach systems, steal sensitive data, and disrupt operations. This work advances research on obfuscated malware detection by offering a comp...Show More

From Static to AI-Driven Detection: A Comprehensive Review of Obfuscated Malware Techniques

Saranya Chandran;Sreelakshmi R. Syam;Sriram Sankaran;Tulika Pandey;Krishnashree Achuthan

Year: 2025 | Volume: 13 | Journal Article |

Enhancing Security in dynamic IoT networks through Incremental Meta-learning

Megha Gopakumar;Sriram Sankaran

2024 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
Year: 2024 | Conference Paper |
The widespread adoption of Internet of Things (IoT) devices presents numerous challenges, including security vulnerabilities, scalability, data management, and reliability concerns. Device identification is of paramount importance for addressing these challenges as it serves as a foundation for implementing security measures, a monitoring system to set up access control and regulate device usage w...Show More

Enhancing Security in dynamic IoT networks through Incremental Meta-learning

Megha Gopakumar;Sriram Sankaran

Year: 2024 | Conference Paper |

A Novel Biometric-Based Multi-Factor Authentication Protocol for EV Charging Infrastructures

Akshitha K Subran;Sriram Sankaran

2024 17th International Conference on Security of Information and Networks (SIN)
Year: 2024 | Conference Paper |
In the realm of modern transportation, Electric Vehicles (EVs) have emerged as a promising solution to address environmental concerns and reduce dependence on fossil fuels. However, the integration of advanced technologies and connectivity features in EVs makes their charging networks vulnerable to various cyber threats and vulnerabilities, potentially compromising their functionality, reliability...Show More

A Novel Biometric-Based Multi-Factor Authentication Protocol for EV Charging Infrastructures

Akshitha K Subran;Sriram Sankaran

Year: 2024 | Conference Paper |

Empirical Analysis of Anomaly Detection Systems for Internet of Things

Shunmika Chidambaram;Bhagya Sony;Nithya Nedungadi;Sriram Sankaran

2024 17th International Conference on Security of Information and Networks (SIN)
Year: 2024 | Conference Paper |
The Internet of Things (IoT) is a network of interconnected devices and systems that collect and exchange data. Resource-constrained IoT devices are particularly susceptible to attacks due to their widespread use and often inadequate security setups, leading to potential vulnerabilities in individual devices. Traditional Signature-based Intrusion Detection Systems (SIDS) are insufficient for the d...Show More

Empirical Analysis of Anomaly Detection Systems for Internet of Things

Shunmika Chidambaram;Bhagya Sony;Nithya Nedungadi;Sriram Sankaran

Year: 2024 | Conference Paper |

Deep Learning based approach for detection of Resource Depletion Attacks in 5G Networks

M V Sri Shiva Shourya Sharma;M Tilak Venkata Sai;Sriram Sankaran

2024 IEEE 5th India Council International Subsections Conference (INDISCON)
Year: 2024 | Conference Paper |
Resource Depletion Attacks pose significant challenges to the stability and efficiency of 5G networks, with potential repercussions on service availability, network performance, and user experience. This problem is motivated by the need to understand the complexities of RDAs and their specific impact on the 5G Core networks, to develop effective countermeasures. First, we investigate the vulnerabi...Show More

Deep Learning based approach for detection of Resource Depletion Attacks in 5G Networks

M V Sri Shiva Shourya Sharma;M Tilak Venkata Sai;Sriram Sankaran

Year: 2024 | Conference Paper |

Homomorphic Secret Sharing for IoT: An Empirical Evaluation

Ramya Madimi;Nithya Nedungadi;Sriram Sankaran

2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Year: 2024 | Conference Paper |
Homomorphic secret sharing (HSS) is a cryptographic technique that combines the principles of secret sharing and homomorphic encryption (HE). It offers a powerful way to securely distribute sensitive data among multiple parties while enabling computations to be performed on the shared data without revealing the individual inputs. The process of HSS entails significant computational load. Due to th...Show More

Homomorphic Secret Sharing for IoT: An Empirical Evaluation

Ramya Madimi;Nithya Nedungadi;Sriram Sankaran

Year: 2024 | Conference Paper |

Evaluating the Effectiveness of PRNU-Based Forensic Techniques in Mobile Devices using Peak Correlation Coefficient

P Shashank Kumar;Sriram Sankaran

2023 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2023 | Conference Paper |
In the digital age, this pioneering investigation is the initial endeavor to confront a crucial challenge in image forensics, marking a notable advancement. The implementation of photoresponse non-uniformity (PRNU) and convolutional neural networks (CNNs) has demonstrated remarkable effectiveness in their respective applications, leading to a noteworthy enhancement in forensic techniques for image...Show More

Evaluating the Effectiveness of PRNU-Based Forensic Techniques in Mobile Devices using Peak Correlation Coefficient

P Shashank Kumar;Sriram Sankaran

Year: 2023 | Conference Paper |

A Novel Lightweight Group Authentication Protocol for Internet of Things

Sreelakshmi R Syam;Nithya Nedungadi;Sriram Sankaran

2023 11th International Conference on Intelligent Systems and Embedded Design (ISED)
Year: 2023 | Conference Paper |
The rapid proliferation of embedded devices has driven the expansion of the Internet of Things (IoT) across various sectors. However, this growth has exposed a vulnerability, especially in smart homes, where attackers attempt to exploit security weaknesses. Furthermore, many existing user authentication methods in the literature come with added computational complexity and require enhancements to ...Show More

A Novel Lightweight Group Authentication Protocol for Internet of Things

Sreelakshmi R Syam;Nithya Nedungadi;Sriram Sankaran

Year: 2023 | Conference Paper |

Identification Of Users with Social Behavioural Biometrics On Twitter

Anudeep Gandla;Vamshi Sunku Mohan;Sriram Sankaran

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Year: 2023 | Conference Paper |
Online Social Network (OSN) platforms provide a valuable source of information, which includes user profiles and social connections that can be used to develop behavioural models of individuals. Tweets of four Twitter users are analysed and a method is proposed to identify users. The Twitter text data is pre-processed to get meaningful words to extract features of every user. Term Frequency-Invers...Show More

Identification Of Users with Social Behavioural Biometrics On Twitter

Anudeep Gandla;Vamshi Sunku Mohan;Sriram Sankaran

Year: 2023 | Conference Paper |

Explanatory Case Study: Digital Forensics Investigation on DJI Spark Drone

P Shashank Kumar;Sriram Sankaran

2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
Year: 2023 | Conference Paper |
Drones are now widely used and have grown in popularity in recent years. However, as a result of their greater use, there have been more crimes involving drones. In this explanatory case study, digital forensics methods are used to analyze a DJI Spark drone discovered at a crime scene. The purpose of this inquiry is to obtain vital data that might help with the investigation of drone-related crime...Show More

Explanatory Case Study: Digital Forensics Investigation on DJI Spark Drone

P Shashank Kumar;Sriram Sankaran

Year: 2023 | Conference Paper |

Cross Protocol Attack on IPSec-based VPN

Amaldeep S;Sriram Sankaran

2023 11th International Symposium on Digital Forensics and Security (ISDFS)
Year: 2023 | Conference Paper |
Cited by: Papers (7)
Network layer protocols that provide privacy, such as IPSec, are widely used in Virtual Private Network(VPN) services to provide security between two networks or hosts. This work analyzes the security of Internet Protocol Security (IPSec) based open-source VPNs and the vulnerabilities that may compromise their security. VPNs were configured with user IDs and RSA Certificates for authentication and...Show More

Cross Protocol Attack on IPSec-based VPN

Amaldeep S;Sriram Sankaran

Year: 2023 | Conference Paper |

On the Feasibility of Homomorphic Encryption for Internet of Things

H Manohar Reddy;Sajimon P C;Sriram Sankaran

2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
Year: 2022 | Conference Paper |
Cited by: Papers (6)
Homomorphic encryption (HE) facilitates computing over encrypted data without using the secret keys. It is currently inefficient for practical implementation on the Internet of Things (IoT). However, the performance of these HE schemes may increase with optimized libraries and hardware capabilities. Thus, implementing and analyzing HE schemes and protocols on resource-constrained devices is essent...Show More

On the Feasibility of Homomorphic Encryption for Internet of Things

H Manohar Reddy;Sajimon P C;Sriram Sankaran

Year: 2022 | Conference Paper |

Lightweight Security Architecture for IoT Edge Devices

Mahipal Singh;Sriram Sankaran

2022 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
The emergence of edge computing and the Internet of Things (IoT) is primarily concerned with security, IoT applications are migrating to edge devices. As a result, potential risks are rising and IoT edge device data access is turning into a serious issue. The IoT devices security is intrinsically reliant on the internal hardware and software building block that the application has access to. If an...Show More

Lightweight Security Architecture for IoT Edge Devices

Mahipal Singh;Sriram Sankaran

Year: 2022 | Conference Paper |

Security and Energy-Aware Resource Allocation in Mobile Edge Computing (MEC)

Buddhadev Pusti;Sriram Sankaran

2022 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Mobile Edge Computing (MEC) is a 5G tech-nology, proposed by European Telecommunications Standards Institute (ETSI) Industry Specification Group as an IT service platform with cloud computing capabilities. MEC is used for performance-aware real-time applications to manage and analyze data in public and private cloud storage. However, energy and computing capabilities of mobile devices and PDAs (Pe...Show More

Security and Energy-Aware Resource Allocation in Mobile Edge Computing (MEC)

Buddhadev Pusti;Sriram Sankaran

Year: 2022 | Conference Paper |

Energy-Performance-Security Trade-off in Mobile Edge Computing

Mahipal Singh;Sriram Sankaran

2022 IEEE 13th International Green and Sustainable Computing Conference (IGSC)
Year: 2022 | Conference Paper |
Multi-access Edge Computing (MEC) also known as Mobile Edge Computing is a type of edge computing that extends the capabilities of cloud computing by bringing resources to the edge of the network. Traditional cloud computing occurs on remote servers far away from users and IoT devices, whereas MEC allows computing processes to take place at base stations, central offices or other aggregation point...Show More

Energy-Performance-Security Trade-off in Mobile Edge Computing

Mahipal Singh;Sriram Sankaran

Year: 2022 | Conference Paper |

Securing Remote User Authentication in Industrial Internet of Things

K Nimmy;Sriram Sankaran;Krishnashree Achuthan;Prasad Calyam

2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Year: 2022 | Conference Paper |
Cited by: Papers (7)
The Industrial Internet of Things (IIoT) enhances the benefit of the Internet of Things (IoT) to a higher level, especially in industries where human error can lead to catastrophic effects. However, security is a major concern in IIoT as hackers can gain access to connected systems, thus potentially subjecting operations to a shutdown. Besides, the outbreak of the COVID-19 pandemic changed the ope...Show More

Securing Remote User Authentication in Industrial Internet of Things

K Nimmy;Sriram Sankaran;Krishnashree Achuthan;Prasad Calyam

Year: 2022 | Conference Paper |

Lightweight and Privacy-Preserving Remote User Authentication for Smart Homes

K. Nimmy;Sriram Sankaran;Krishnashree Achuthan;Prasad Calyam

IEEE Access
Year: 2022 | Volume: 10 | Journal Article |
Cited by: Papers (26)
The rapid proliferation of embedded devices has led to the growth of the Internet of Things (IoT) with applications in numerous domains such as home automation, healthcare, education and agriculture. However, many of the connected devices particularly in smart homes are the target of attacks that try to exploit security vulnerabilities such as hard-coded passwords and insecure data transfer. Recen...Show More

Lightweight and Privacy-Preserving Remote User Authentication for Smart Homes

K. Nimmy;Sriram Sankaran;Krishnashree Achuthan;Prasad Calyam

Year: 2022 | Volume: 10 | Journal Article |

Experimental Assessment of Wireless LANs against Rogue Access Points

Narahari Komanduri;Sriram Sankaran

2021 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Access Points (AP) are traditionally used to provide cost-effective, high speed Wi-Fi connectivity to homes, organizations and communities. Despite Wi-Fi providing numerous benefits such as flexibility, scalability and ease of deployment, it is susceptible to numerous vulnerabilities due to the presence of rogue access points (Rogue AP). In particular, intruders can eavesdrop, exploit, launch remo...Show More

Experimental Assessment of Wireless LANs against Rogue Access Points

Narahari Komanduri;Sriram Sankaran

Year: 2021 | Conference Paper |

Deep Learning Based Approach for Hardware Trojan Detection

Sriram Sankaran;Vamshi Sunku Mohan;A Purushothaman.

2021 IEEE International Symposium on Smart Electronic Systems (iSES)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Hardware Trojans are modifications made by malicious insiders or third party providers during the design or fabrication phase of the IC (Integrated Circuits) design cycle in a covert manner. These cause catastrophic consequences ranging from manipulating the functionality of individual blocks to disabling the entire chip. Thus, a need for detecting trojans becomes necessary. In this work, we propo...Show More

Deep Learning Based Approach for Hardware Trojan Detection

Sriram Sankaran;Vamshi Sunku Mohan;A Purushothaman.

Year: 2021 | Conference Paper |

Modeling and Defending against Resource Depletion Attacks in 5G Networks

Nb Gokul;Sriram Sankaran

2021 IEEE 18th India Council International Conference (INDICON)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
Security in 5G Networks is of paramount importance due to the safety critical nature of the mobile data coupled with the insecurity of cellular infrastructure. Attackers can compromise mobile devices using various methods such as malware, mobile bots, viruses, etc. Further, malicious connections generated by the compromised devices could potentially deplete the resources of the cellular infrastruc...Show More

Modeling and Defending against Resource Depletion Attacks in 5G Networks

Nb Gokul;Sriram Sankaran

Year: 2021 | Conference Paper |

Formal Verification of 5G EAP-AKA protocol

Megha Ajit;Sriram Sankaran;Kurunandan Jain

2021 31st International Telecommunication Networks and Applications Conference (ITNAC)
Year: 2021 | Conference Paper |
Cited by: Papers (4)
The advent of 5G, one of the most recent and promising technologies currently under deployment, fulfills the emerging needs of mobile subscribers by introducing several new technological advancements. However, this may lead to numerous attacks in the emerging 5G networks. Thus, to guarantee the secure transmission of user data, 5G Authentication protocols such as Extensible Authentication Protocol...Show More

Formal Verification of 5G EAP-AKA protocol

Megha Ajit;Sriram Sankaran;Kurunandan Jain

Year: 2021 | Conference Paper |

Lightweight and Attack-resilient PUF for Internet of Things

Akshayhari Rajan;Sriram Sankaran

2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)
Year: 2020 | Conference Paper |
Cited by: Papers (6)
IoT security is of paramount concern due to poorly configured devices that can often serve as entry points for cyber attacks. Developing Physically Unclonable Functions (PUFs) and making them resilient can enhance hardware security. In this work, we propose a XOR-mesh based PUF composed of network of XOR-gates and multiplexers. The proposed PUF was implemented on an Artix-7 FPGA and evaluated in t...Show More

Lightweight and Attack-resilient PUF for Internet of Things

Akshayhari Rajan;Sriram Sankaran

Year: 2020 | Conference Paper |

Local Clock Glitching Fault Injection with Application to the ASCON Cipher

G Surya;Paolo Maistri;Sriram Sankaran

2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Lightweight ciphers such as ASCON facilitate ease of implementation as well as provide better performance over conventional ciphers, thus making it suitable for resource-constrained devices. However, hardware implementations of these ciphers are vulnerable to a multitude of physical attacks (such as fault injections) requiring dedicated countermeasures thus causing a negative impact on security, p...Show More

Local Clock Glitching Fault Injection with Application to the ASCON Cipher

G Surya;Paolo Maistri;Sriram Sankaran

Year: 2020 | Conference Paper |

Towards a Lightweight Blockchain Platform for Critical Infrastructure Protection

Jerin Sunny;Sriram Sankaran;Vishal Saraswat

2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)
Year: 2020 | Conference Paper |
Cited by: Papers (4)
Critical Infrastructures are one of the vital systems that support modern societies. The adoption of technologies like Industry 4.0, Industrial Internet of Things (IIoT) in critical infrastructures have made it a lucrative target for cyberattackers. Protecting critical infrastructure is of paramount importance due to the sensitive nature of the data coupled with the resource-constrained nature of ...Show More

Towards a Lightweight Blockchain Platform for Critical Infrastructure Protection

Jerin Sunny;Sriram Sankaran;Vishal Saraswat

Year: 2020 | Conference Paper |

A Hybrid Approach for Fast Anomaly Detection in Controller Area Networks

Jerin Sunny;Sriram Sankaran;Vishal Saraswat

2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
Year: 2020 | Conference Paper |
Cited by: Papers (13)
Recent advancements in the field of in-vehicle network and wireless communication, has been steadily progressing. Also, the advent of technologies such as Vehicular Adhoc Networks (VANET) and Intelligent Transportation System (ITS), has transformed modern automobiles into a sophisticated cyber-physical system rather than just a isolated mechanical device. Modern automobiles rely on many electronic...Show More

A Hybrid Approach for Fast Anomaly Detection in Controller Area Networks

Jerin Sunny;Sriram Sankaran;Vishal Saraswat

Year: 2020 | Conference Paper |

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