Abstract

This paper Smart Intrusion Detection System (IDS), is a contribution to efforts towards detecting intrusion and malicious activities on Android phone. The goal of this paper is to raise user’s awareness of the high rate of intrusions or malicious activities on Android phones and to provide counter measure system for more secured operations. The proposed system (SIDS) detects any intrusion or illegal activities on android and also takes a selfie of the intruder unknown to him/her and keep in the log for the view of the user. The object oriented analysis and design method (OOADM), was adopted in the development. This approach was used to model and develop the system using real intrusion features and processes to detect intrusions more flexibly and efficiently. Signature detection was also used to detect attacks by looking for specific patterns. The system detects intrusions and immediately sends an alert to the user to notify of an illegal or malicious attempt and the location of the intruder.

Highlights

  • Smartphones, tablets, and other mobile platforms are rapidly emerging as popular appliances with progressively amazing computing, networking, and detecting abilities

  • There were 5.11 billion interesting portable clients worldwide in 2019, and 2.71 billion of them use smart phones, it evaluated that there will be 2.87 billion smartphone clients worldwide in 2020, and 2.5 billion dynamic Android gadgets around the world, this value was based on Google’s Play store Statistics, and this implies that the number is higher

  • In spite of the reality the frameworks are distinctive in their sort and design; the establishments of assurance against assaults continue as before. This takes into consideration the appropriation of existing procedures and their use in the Android security zone

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Summary

INTRODUCTION

Smartphones, tablets, and other mobile platforms are rapidly emerging as popular appliances with progressively amazing computing, networking, and detecting abilities. There were 5.11 billion interesting portable clients worldwide in 2019, and 2.71 billion of them use smart phones, it evaluated that there will be 2.87 billion smartphone clients worldwide in 2020, and 2.5 billion dynamic Android gadgets around the world, this value was based on Google’s Play store Statistics, and this implies that the number is higher. These numbers of Android devices and users underscore the size of the fracture challenge and Google hopes to apply essential updates and security principles to all Android gadgets across various renditions, districts, and producers. Irregularity discovery is helpful for discovering assaults like abuse of convention and administration ports, DoS dependent on made payloads, DoS dependent on volume, cradle flood and other app payload inconsistency [5]

ANDROID MALWARE DETECTION
Detection Approach
Android Architecture
Feature Selection
The Filter Approach
Review of Related Literature
DESCRIPTION OF THE EXISTING SYSTEM
Analysis of the Proposed System
System Architecture
SYSTEM IMPLEMENTATION
Choice of Development Environment
RESULT
Findings
Conclusion and Future Work
Full Text
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