Secure dissemination of software updates for intelligent mobility in future wireless networks

Abstract

Wireless mobile networks frequently need remote software updates to add or adjust the tasks of mobile nodes. Software update traffic, particularly in the Internet of Things (IoT), should be carefully handled since attackers can easily compromise a number of unattended devices by modifying a piece of code in the software update routine. These attacks are quite realistic and harmful as seen in the real world. To protect lower-powered mobile devices, an in-network detection mechanism is preferred. However, due to the mobility of devices, it is difficult to set a network monitor with complete context of software updates. Moreover, even the conventional integrity checks can be fooled by a replaced binary code or minimized modification. In this paper, we tackle this problem and propose CodeDog, a new approach to check the integrity of software updates in mobile environments. CodeDog generates a binary code with semantics markers. A validation of those markers proves the control flow semantics was unchanged. It can be performed on program fragments for in-network monitoring to protect incapable devices. Our evaluation result shows that CodeDog can prevent attacks in the supply chain with 4.2 % storage overhead.

Supply chain management and industry 4.0

“…Furthermore, as future opportunities, studies could address data safety and supply chain management. Information safety is fundamental in collaborative networks (Lee and Kwon, 2016), and the elements of industry 4.0 are directly related to data and information flows. In addition, further research could develop horizontal and vertical integration mechanism systems in SCM, since this topic was not yet explored by the analyzed literature.…”

Patch Transporter: Incentivized, Decentralized Software Patch System for WSN and IoT Environments

“…These methods treat the payload of software update like a binary data. However, Lee et al proposed CodeDog [ 7 ] and employed a specific markers to find semantic modification in a fragmented program code from a sequence of packets, gathered by network monitors. Cheng et al rather focused on prioritizing nodes to patch first.…”

“…This reliable delivery of software update is extended by mobile sources (initiators) in [ 5 ] and by distributed dissemination in [ 6 ]. Focusing on the second problem, Lee et al [ 7 ] recently presented CodeDog in-network monitoring of software update delivery with semantic fingerprints of payload. Cheng et al in [ 8 ] proposed the traffic-aware patching to select optimal relaying node to update in order to minimize the propagation of attacks.…”

The Effectiveness of College Students’ Listening Comprehension Learning Based on Mobile English Teaching Software

“…With the development of technology, mobile intelligent devices represented by smart phones tend to have better scalability (Lee & Kwon, 2016), which makes it possible to further extend the function of the intelligent devices by installing the corresponding application program in the actual use process. At the same time, the powerful sound processing function and application program in the smart phone make it possible to further improve the effectiveness of English teaching through the application of the smart phone in the process of English teaching.…”