Information warfare is defined as actions taken to achieve information superiority by affecting adversary information, and information-based processes. Therefore, the term information warfare is widely used in the contemporary discourse, but it is often misunderstood. The goal of information warfare is to destroy the enemy’s warfighting capability without firing a single bullet.
Information warfare does not use tanks, fighter planes, missiles, or nukes to wage war. The weapons in information warfare are computer viruses, malware, Trojan horses, and else. Information warfare does not result in mass causalities, but the damage it can do to one’s critical infrastructure, such as nuclear power plants in case of a country or critical data or in case of others, is a matter of concern. Similarly, Big Data can be used to destroy information also it could be used for illegal activities such as suicide bombing – that is how terrorists can use big data. Thus, these technologies are very comprehensive and friendly if the usage of these technologies is the proper way then big data plays a vital role to make changes in society.
However, with the help of big data, it is very easy to analyze someone’s behavior but very hard to extract what is truth in this post-truth era, and one can easily build a narrative to manipulate the people and disseminate fake information among the targeted audience. Because there is no counter check to ensure that either that given data or information is reliable with exact facts and figures or not and where this information comes from. Simultaneously, big data is a vast amount of information accompanied by a vast philosophy and a wide range of kinds. Instead of merely having enough information, it’s a comprehensive echo system.
Big Data may be used to destroy information as well as for unlawful activities like suicide bombing, Trojan horses, and phishing. While on the other hand, these technologies are extremely comprehensive and user-friendly – when properly implemented – big data may play a significant part in societal transformation. The primary difficulty is big data – which has become a popular subject in 2017. It also needs to upgrade the whole infrastructure such as, personal computers, laptops, and other devices where data is accessed via various sites such as social media and the internet are not new – but big data infrastructure is.
Similarly, Algorithm development is all about the picture that someone has in their head and how someone intends to put it into action. If state has the appropriate policies in place and clear goals, then these improvements will lead to success. It all comes down to the object someone is processing when it comes to algorithm design and failure. More significantly, states need to have well-defined goals and policies as well.
Thus, a normative framework is supplied at the national level within the policy on a certain subject or area because Pakistan does not yet have a big data policy, it is impossible to identify what specific Norms the Pakistani government is attempting to attain in this field. Therefore, Transparency, accountability, and inclusivity are all qualities that exist in Pakistan. However, in terms of the legal framework, there is no single legislative instrument or act that addresses the big data issue and the Data Protection Privacy Act (DPP). The personal data protection law is one proposal or measure that is presently in the works that are extremely controversial, and different drops are being debated.
