As the Internet, mobile phones, and other computer technologies have flourished, criminals have found ways to use them for old-fashioned goals such as theft, fraud, intimidation, and harassment. Offences that are committed against individuals or groups of individuals with a criminal motive to intentionally harm the reputation of the victim or cause physical or mental harm to the victim directly or indirectly, using modern telecommunication networks such as Internet (Chat rooms, emails, notice boards and groups) and mobile phones (SMS/MMS Cybercrime is a term for any illegal activity that uses a computer as its primary means of commission. Cybercrime includes any type of illegal scheme that uses one or more components of the Internet (chat rooms, email, message boards, websites, and auctions) to conduct fraudulent transactions or transmit the proceeds of fraud to financial institutions or to others connected with the scheme. The more and more use of internet by elderly has enabled them to make active role especially in health care, while the internet has contributed to the societal change and provided opportunities to revolutionized health care. For elderly, use of internet is more of an evolution than revolution. Elderly are found to be disproportionately affected by the cyber crime, and as they have more free time to spend on internet they are likely to have more chances of falling victims to cyber crime The finding of the study indicates that level of knowledge of cybercrime is medium among elderly residing in their homes whereas there is low level of knowledge among elderly residing in Old Age homes because of lack of availability of internet facilities. The aim of the study was to assess the level of knowledge of cyber crime among elderly residing in their homes and old age homes. A cross sectional study was used for data collection. 60 elderly residing in their homes and 60 elderly residing in old age homes were selected from different areas of Lucknow city. Total sample size was 120. The purposive random sampling technique was used to collect the data. After the collection of data, it was analyzed with SPSS (version 20) for Mean, Standard Deviation, and chi-square test. The study revealed that there is highly significant difference between level of knowledge and place of residence of respondents (the chi-square value for elderly residing in homes is 38.400 and Elderly residing in Old Age homes is 6.667) and df =1 at 5% level of significance.