![]() Thus, computer systems and mobile applications should be designed to detect malicious activities towards protecting the stakeholders. According to a study, naive users are unable to distinguish between malicious and benign applications. A set of malicious programming code, scripts, active content, or intrusive software that is designed to destroy intended computer systems and programs or mobile and web applications is referred to as malware. To maintain stakeholders, particularly, end users security, protecting the data from fraudulent efforts is one of the most pressing concerns. With the rapid technological advancement, security has become a major issue due to the increase in malware activity that poses a serious threat to the security and safety of both computer systems and stakeholders. Keywords – Anomaly based, Intrusion detection system, Smart phones, and malicious activities. The proposed system will help to monitor users Android phone by detecting, authenticate intrusion and also log and mail alert of an attempt to the user’s phone through the phone number and email. Object-Oriented examination gives a simple progress to mainstream Object-Oriented programming dialects, for example, Java and C++. This models real world processes, operations and the data is also represented in a more flexibly, efficiently and realistically behaviour. This paper adopts the object oriented analysis and design method (OOADM). Tshis approach is based with respect to viewing the conduct of the gadget by monitoring various parameters and the status of the segments of the gadget. We proposed a system that will detect any illegal/malicious intrusions in Smart phone using anomaly based approach. Intrusion detection system (IDS) is meant to be a software application which monitors system activities and detect any intrusion actions or operations. It analyzes system calls’ logs and also the conduct of an app and afterward produces signatures for malware conduct. This paper proposes a technique that can detect any illegal activities in smart phone using anomaly based. ![]() This is an effort gear towards detecting malicious activities. ![]() There is a huge increment in malware applications in android phones. Abstract – Android OS is one of the widely used mobile operating systems. ![]()
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