SEAMLESS CONNECTION BETWEEN RENDEZVOUS NODE AND MOBILE PRODUCER NODES USING NDN INTEREST FLOODING

ABSTRACT Named Data Networking (NDN)is the best among the architectures of Infor-mation Concentric Networking. In NDN, users consider content information ra-ther than its owner (host). This gives NDN optimum efficiency in term of data integrity and security. However, Information Concentric Networks are to some extent vulnerable to some form of Denial of Service (DoS) attacks.

A MULTI-FACETED FRAMEWORK OF ADVANCED PERSISTENT THREAT AND SPEAR-PHISHING ATTACKS

ABSTRACT Advanced Persistent Threat (APT) has become a central issue among large enterprises and governmental networks. The objective of our research is to design a multi-faceted prevention method to protect enterprises against risks, threats, and attacks from spear phishing and advanced persistent threat assaults. The consequences of the APT attack were examined on IT systems

DIGITAL TECHNOLOGIES IN AGRICULTURAL DEVELOPMENT

ABSTRACT Technological advancement has significant impact in the digital agriculture. Artificial intelligence-based techniques, together with big data analytics, address the challenges of agricultural production in terms of productivity and sustainability. Emerging technological innovations transform agriculture from the traditional farm practices to a highly automated and data intensive industry. The spread of these cutting edge technologies,

AN ENHANCED ADAPTIVE DATA MODEL FOR MULTIPLE SYSTEMS INTEGRATION

ABSTRACT Several problems are associated with the manual method of managing students’ information like misplacement of student’s details, erroneous results computation, and late release of reports and records’ insecurity. This paper, therefore, presents an adaptive automated platform for managing students’ information. The system was designed and developed using a Unified Modelling Language (UML) and Java

AN ARTIFICIAL INTELLIGENT VIDEO ASSISTANT INVIGILATOR TO CURB EXAMINATION MALPRACTICE

ABSTRACT The Concept of motion detection is to use the previously observed motion sequence to determine movements in a local region of a video frame. In real applications, this problem can be regarded as a spatiotemporal sequence forecasting problem. The spatiotemporal sequence forecast problem is different from the one-step time series forecasting problem. The prediction