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Internet technology has occupied an important part of human lives. Users often face the problem of the available excessive information. Recommandation system (RS) are deployed to help users cope up with the information explosion. RS is mostly used in digital entertainment, such as Netflix, prime video, and IMDB, and e-commerce portals such as Amazon, Flipkart, and eBay. The two traditional methods namely, collaborative filtering (CF) and content-based approaches consist of few limitations individually. However, any hybrid system, which utilizes the advantage of both the systems to leverage better results. Some fundamental issues faced by movie recommendation systems such as scalability, cold start problem, data sparsity and practical usage feedback and verification based on real implementation are still neglected. Other issues that require significant research attention are accuracy and time complexity problem, which could make RS, a bad candidate for real-world recommendation systems. This literature survey aims to consolidate and structurally categorize all the major drawbacks present in the most common and popular commercial movie recommendation systems.

With the increasing popularity of IoT devices, the vulnerabilities & security issues concerned with these devices are also increasing. The lack of security mechanisms and vulnerable protocols make IoT devices easy targets for hackers, for example, the “Mirai Botnet Attack” in 2016. There is a very critical requirement for security of IoT systems. In this paper, we propose the IDRBT-IoT Secure Router (IISR), which is immune to a large number of cyber attacks. IISR protects the network against malicious activities by providing a one-step solution for securing the IoT ecosystem. It consists of a Raspberry Pi 3 Model B+, five IoT devices, and an attacker machine. The router has been tested by conducting ten attacks namely: Deauthentication, Fake-Authentication, MAC Spoofing, Denial of Service, Port Scanning, WiFi Cracking, ARP Poisoning, DNS Spoofing, Malware Injection, and Firmware Exploitation. We developed security mechanisms for detection and mitigation of these attacks. They consist of Snort IDS rules, Arduino programming, Packet Sniffer, and configuration of connection methods. The test results show that IISR can detect and mitigate seven out of ten attacks. Thus, the initial results are encouraging.