Social Media Policies of Medical Colleges of Pakistan

Introduction: A total of 144 medical colleges are contributing to the country’s progress. Excessive usage of social media is a cause of not only the deterioration of physical and psychological health of medical students, but has also become a defining reason of procrastination and attaining less than ideal grades. Where most western institutes implement strict social media policies in medical schools, those in Pakistan are gravely lacking. Objective: The objective of this research implementation of social media in medical schools of Pakistan and then identify the need to develop such policies. Methods: We conducted qualitative research in which method of data collection was primarily focus group discussions (FGD) of a total of 40 participants from five different medical colleges of Pakistan. The participants included medical practitioners and medical students(n=20) who were further divided into four groups of five participants each. FGD was conducted online. Results: Content analysis revealed seven core themes as point of discussions to be highlighted. Almost all participants were grossly unaware of the importance of social media usage regulation and its implementation in medical schools. Conclusion: At the end of the FGD it was unanimously agreed upon that there must be a uniform and standard social media policy defined by the regulating bodies of medical schools. This research may further be conducted by including policymakers in the sample. KEYWORDS: Social media, policy, medical colleges.

A Novel Intrusion Detection and Prevention Model for Sql Injection Attacks Idpmia

Structure Query Language, Injections Attack (SQLIA) is a burning issue now a days in static applications and web applications databases. SQL Injection ignores the authentication checks and affects the confidentiality of the database. SQLIA helps the invader to get the illegal access of the whole database and operate it. Through injection attacks, malfunctioning code can be entered in a site.The existing tools and techniques like SQLRand, CANID, AMNESIA and SQL DOM mainly focus on providing access to the database only to the authenticated users. These tools do not provide complete prevention measures against the SQLIA. In this research, Intrusion Detection and Prevention Model for SQL Injection Attacks will be introduced. The proposed IDPMIA will detect the malicious queries before execution and reconstruct these malicious queries. Whenever attackers will try to inject a suspicious query, it would by immediately recognized by IDPMIA and protective actions will be taken. The proposed approach will be justified through case studies where multiple SQL Injection attacks will simulate and results will be analyzed using the proposed model and existing state of the art techniques from literature.