Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn
cyberattack exposed the critical fault-lines among smart networks. Security of IoT has …

Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

Landslide susceptibility assessment of Uttarakhand area of India has been done by applying
five machine learning methods namely Support Vector Machines (SVM), Logistic …

Due to the widespread use of the internet, computer systems are prone to information theft
that has led to the emergence of Intrusion Detection Systems (IDSs). Various approaches …

Intrusion detection is the process of monitoring and analyzing the events occurring in a
computer system in order to detect signs of security problems. Today most of the intrusion …

The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

This study relies on using a Moth–Flame Optimization (MFO) method as a search algorithm
and a Decision Tree (DT) as an evaluation algorithm to generate an efficient feature subset …

As our professional, social, and financial existences become increasingly digitized and as
our government, healthcare, and military infrastructures rely more on computer technologies …

This paper examines a class of heuristics for maintaining a sequential list in approximately
optimal order with respect to the average time required to search for a specified element …

The definitive text for students of digital forensics, as well as professionals looking to deepen
their understanding of an increasingly critical field Written by faculty members and …