IoT Forensic Frameworks (DFIF, IoTDOTS, FSAIoT): A Comprehensive Study

A Comprehensive Study in Data Mining Frameworks for Intrusion Detection

Intrusions are the activities that violate the security policy of system. Intrusion Detection is the process used to identify intrusions. Network security is to be considered as a major issue in recent years, since the computer network keeps on expanding every day. An Intrusion Detection System (IDS) is a system for detecting intrusions and reporting to the authority or to the network administr...

Network forensic frameworks: Survey and research challenges

Network forensics is the science that deals with capture, recording, and analysis of network traffic for detecting intrusions and investigating them. This paper makes an exhaustive survey of various network forensic frameworks proposed till date. A generic process model for network forensics is proposed which is built on various existing models of digital forensics. Definition, categorization a...

A Comprehensive Approach to Implementing IoT Digital Twins

Make-span Improvement with Data Partitioning for IoT Frameworks

With the current emphasis on intelligent infrastructures, sensor based ubiquitous intelligent systems, commonly known as ‘Cyber-Physical Systems’, have become important. Data acquisition, management, and analysis for knowledge extraction will give rise to a new generation of infrastructure and services encompassing every aspects of our daily lives. Such analysis are performed by well-known algo...

FlowFence: Practical Data Protection for Emerging IoT Application Frameworks

Emerging IoT programming frameworks enable building apps that compute on sensitive data produced by smart homes and wearables. However, these frameworks only support permission-based access control on sensitive data, which is ineffective at controlling how apps use data once they gain access. To address this limitation, we present FlowFence, a system that requires consumers of sensitive data to...