Security Challenges and Cyber Forensic Ecosystem in IoT Driven BYOD Environment

Abstract

The usage of Internet of Things (IoT)/ Bring Your Own Devices (BYOD) has grown up exponentially, as expected 50 Billion IoT devices by the end of 2020 in the world in smart city environment. Advancement of Human Driven Edge Computing (HEC) with 5 th Generation Internet services also makes this more feasible. Use of IoT and increased demand of IoT/BYOD becomes one of the fundamental needs to increase the organization employee productivity and business agility. But it increased the significant risk of the cyber-attack which is leading a major reason for business disruption and becomes a leading question about getting a cyber secured citizenship in the smart city environment. In order to conduct forensic investigation post incident detection of malicious activities from IoT/BYOD end point is most challenging task. Secured on boarding of untrusted IoT/BYOD end points in the corporate network and detection of threats from this area and security control mechanism required a continuous new abstraction to battle with new threat landscape. A strategic practical approach in this research is presented to detect malicious activities so that organization can adopt to protect the critical and smart city infrastructure. In order to achieve the goal of detecting of malicious activities in IoT/BYOD environment, simulation performed in 3 phases. The 1st phase of the sample performed while BYOD endpoint was outside the organization over the internet without VPN. The 2 nd phase of the simulation was performed where BYOD endpoint was securely onboarded using a corporate wireless network with a secured onboarding process. The 3 rd phase of the test done where IoT/BYOD was outside the organization with a VPN. A unique robust scalable model puts forward with significant result in conclusion for creating a cyber forensic ecosystem in IoT/BYOD environment to enable cyber secured citizenship in era of HEC with 5G and IoT.

Research on Network Security Technology of Internet of Things Intelligent Information Terminal under the Background of Information Technology

“…In Equation (13), where () MLN represents the multilayer neural network, m  is the () MLN parameter, p is the output of the multilayer network, and  represents the K dimensional vector used for hybrid membership affiliation prediction. Given a batch of N samples and their affiliation predictions, 1 kK    the membership affiliation prediction formula for the estimated network is shown in Eq.…”

“…Through the use of these technologies, a variety of items are connected to the data tracking and information exchange so as to realize the identification and tracking of the target [12]. Literature [13] developed a strategy for security monitoring of IoT devices to monitor and identify malicious activities, which contributes to the shaping of the IoT cyber security ecosystem. Literature [14] conducted a qualitative threat assessment based on a historical database to prevent industrial IoT information from being threatened by malicious attacks on the network, which can effectively prevent data leakage and provide software malware detection.…”

An Evaluation of the Proposed Security Access Control for BYOD Devices with Mobile Device Management (MDM)

“…These technological and access control regulations ought to be enforced, according to the corporation [21][22]. To lower threats to users and their devices, an efficient solution needs to work with the authorised BYOD's Windows versions [23][24][25]. Implement Access Control Guidelines The technical policy of the organisation that needs to be adhered to is referred to as this enforcement.…”

CPS Attacks Mitigation Approaches on Power Electronic Systems With Security Challenges for Smart Grid Applications: A Review

“…The smart meters are employed in the AMI on the consumers' houses, which can be effortlessly reachable via the physical attackers for communicating with utility companies. This increases a new challenge for protecting the instruments [214].…”