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20162020
most citedWorkshops on Extreme Scale Design Automation (ESDA) Challenges and Opportunities for 2025 and Beyond

6 citations · 7 across the 5 of their papers we have counts for

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cs.CR2020

Analytical Estimation and Localization of Hardware Trojan Vulnerability in RTL Designs

Sheikh Ariful Islam, Love Kumar Sah, Srinivas Katkoori

Offshoring the proprietary Intellectual property (IP) has recently increased the threat of malicious logic insertion in the form of Hardware Trojan (HT). A potential and stealthy H…

cs.CR2020

DLockout: A Design Lockout Technique for Key Obfuscated RTL IP Designs

Sheikh Ariful Islam, Love Kumar Sah, Srinivas Katkoori

Intellectual Property (IP) infringement including piracy and over production have emerged as significant threats in the semiconductor supply chain. Key based obfuscation techniques…

cs.CR2019

Machine Learning based IoT Edge Node Security Attack and Countermeasures

Vishalini R. Laguduva, Sheikh Ariful Islam, Sathyanarayanan Aakur +2

Advances in technology have enabled tremendous progress in the development of a highly connected ecosystem of ubiquitous computing devices collectively called the Internet of Thing…

cs.CR2019

Variable Record Table: A Run-time Solution for Mitigating Buffer Overflow Attack

Love Kumar Sah, Sheikh Ariful Islam, Srinivas Katkoori

We present a novel approach to mitigate buffer overflow attack using Variable Record Table (VRT). Dedicated memory space is used to automatically record base and bound information…

cs.CR2019

An SR Flip-Flop based Physical Unclonable Functions for Hardware Security

Rohith Prasad Challa, Sheikh Ariful Islam, Srinivas Katkoori

Physical Unclonable Functions (PUFs) have emerged as a promising solution to identify and authenticate Integrated Circuits (ICs). In this paper, we propose a novel NAND-based Set-R…

cs.CR2016★ 1 cited

Call Trace and Memory Access Pattern based Runtime Insider Threat Detection for Big Data Platforms

Santosh Aditham, Nagarajan Ranganathan, Srinivas Katkoori

Big data platforms such as Hadoop and Spark are being widely adopted both by academia and industry. In this paper, we propose a runtime intrusion detection technique that understan…